Acquisition of 3D facial shape data of Japanese Macaque (Macaca fuscata) using video　　　　　　　　　　　　　　　
Tsuyoshi OKAYAMA; Daisuke KOHARI; Atsushi TOYODA; Natsumi Nishikawa; Yoshinari Someya; Haruhisa Masafuji; Shinya Iida; Shinya Iida; Keisuke Kawase; Nobutaka Namae, Lead
Zoo Science Journal, Mar. 2025

The influence of soil dry bulk density and existence of soybean vegetation on greenhouse gases movement
Nishiwaki, Junko; Kitahara Kaori; Doi, Toshihiro; Okayama Tsuyoshi
土壌の物理性, Jul. 2024, [Reviewed]

園芸と家畜との相互作用を含む農園活動が精神疾患のある成人の心理的および生理的状態に及ぼす影響(Effects of Farming Activity, Including Horticulture and Interaction With Farm Animals, on the Psychological and Physiological Status of Adults With Mental Disorders)　　　　　　　　　　　　　　　
安江 健; 坂本 希美; 平山 望; 小松崎 将一; 山川 百合子; 高橋 弘美; 柴沼 沙織; 小針 大助; 岡山 毅; 豊田 淳, 日本型の園芸療法(CF)を確立するため、統合失調症および/または器質性精神障害をもつ成人17名(男性14名、女性3名、21～64歳)を対象に検討した。農作業は、30分間の園芸作業(種まきおよび収穫)と、30分間の家畜との触れ合い(ウシとヤギのブラッシングおよび給餌)から成り、二つの作業は1ヵ月おきに入れ替えた。作業中は心拍数を連続的に記録し、心理的ストレス反応尺度(SRS)と唾液中α-アミラーゼ濃度(sAA)を各作業の前と後に測定した。心拍数変動分析では、交感神経と副交感神経の興奮の指標であるLF/HFとHF nuを作業の前と後で比較した。sAA濃度は作業の前と後で変わらなかったが、SRSスコアは抑鬱/不安の項目で有意に低下した。LF/HFとHF nuも、園芸作業後に家畜と触れ合うことにより有意に異なっていた。これらの所見から、二つを組合わせたCFは、精神疾患をもつ成人の不安や緊張を軽減する可能性があると考えられた。, ヒトと動物の関係学会
ヒトと動物の関係学会誌, Mar. 2023

Local CO2 Application within Strawberry Plant Canopy Increased Dry Matter Production and Fruit Yield in Summer and Autumn Culture
Yuya Mochizuki; Sou Murakami; Takuro Kobayashi; Kanjana Worarad; Yukio Yonezu; Hiroki Umeda; Tsuyoshi Okayama; Eiichi Inoue, Taylor & Francis
International Journal of Fruit Science, 10 Aug. 2022, [Reviewed]

Optimization of the year‐round mowing schedule of a robotic lawnmower in a Japanese pear orchard
Muhammad Zakaria Hossain; Shoji Watanabe; Tsuyoshi Okayama; Masakazu Komatsuzaki, Wiley
Weed Biology and Management, 26 Apr. 2022, [Reviewed]

Rice Height Monitoring between Different Estimation Models Using UAV Photogrammetry and Multispectral Technology
Wenyi Lu; Tsuyoshi Okayama; Masakazu Komatsuzaki, Unmanned aerial vehicle (UAV) photogrammetry was used to monitor crop height in a flooded paddy field. Three multi-rotor UAVs were utilized to conduct flight missions in order to capture RGB (RedGreenBlue) and multispectral images, and these images were analyzed using several different models to provide the best results. Two image sets taken by two UAVs, mounted with RGB cameras of the same resolution and Global Navigation Satellite System (GNSS) receivers of different accuracies, were applied to perform photogrammetry. Two methods were then proposed for creating crop height models (CHMs), one of which was denoted as the M1 method and was based on the Digital Surface Point Cloud (DSPC) and the Digital Terrain Point Cloud (DSPT). The other was denoted as the M2 method and was based on the DSPC and a bathymetric sensor. An image set taken by another UAV mounted with a multispectral camera was used for multispectral-based photogrammetry. A Normal Differential Vegetation Index (NDVI) and a Vegetation Fraction (VF) were then extracted. A new method based on multiple linear regression (MLR) combining the NDVI, the VF, and a Soil Plant Analysis Development (SPAD) value for estimating the measured height (MH) of rice was then proposed and denoted as the M3 method. The results show that the M1 method, the UAV with a GNSS receiver with a higher accuracy, obtained more reliable estimations, while the M2 method, the UAV with a GNSS receiver of moderate accuracy, was actually slightly better. The effect on the performance of CHMs created by the M1 and M2 methods is more negligible in different plots with different treatments; however, remarkably, the more uniform the distribution of vegetation over the water surface, the better the performance. The M3 method, which was created using only a SPAD value and a canopy NDVI value, showed the highest coefficient of determination (R2) for overall MH estimation, 0.838, compared with other combinations., MDPI AG
Remote Sensing, 24 Dec. 2021

Estimating body weight of pigs from posture analysis using a depth camera.
Tsuyoshi Okayama; Yoshifumi Kubota; Atsushi Toyoda; Daisuke Kohari; Go Noguchi, Lead, A noninvasive method for estimating the body weight (BW) of a pig considering its posture using a low-cost depth camera (Kinect v2) was proposed. A total of 150 pigs were used, and 738 depth images (point clouds) were obtained for them. The pig "volume" was calculated from the pig point cloud, and it was found to have a very high correlation to BW. To evaluate the posture of a pig quantitatively, seven posture angles were calculated based on the "spine" extracted from a pig point cloud. We found the posture angles representing the height of the head position correlated with the accuracy of BW estimation using the "volume." Based on this finding, we proposed an "adjusted volume," which was adjusted based on the relationship between the posture angles and the estimation error. The BW of pigs was estimated using the simple regression model with the "adjusted volume," and the MAPE and RMSPE were 4.87% and 6.13%, respectively. The accuracy of the suggested model was similar to that of the volume-based estimation models of other studies that used only data with an appropriate pig posture for BW estimation.
Animal science journal = Nihon chikusan Gakkaiho, Dec. 2021, [Reviewed]

ウシの飼育管理作業が大学生の心理・生理的状態に及ぼす影響
安江 健; 平山 望; 武田 愛生; 小針 大助; 岡山 毅; 小松﨑 将一; 山川 百合子; 佐々木 誠一; 豊田 淳
日本畜産学会報, 25 May 2021, [Reviewed]

Assessment of nest building and social interaction behavior in mice exposed to acute social defeat stress using a three‐dimensional depth camera
Hikari OTABI; Tsuyoshi OKAYAMA; Atsushi TOYODA, Corresponding, Nest building is an instinctive behavior toward protection from predators, body temperature regulation, and courtship. Previously, we discovered that acute and chronic social defeat stress suppresses the onset of nest-building behavior in male mice (C57BL/6J). Here, we analyzed nest building and other behavioral deficits induced by acute social defeat stress (ASDS). We utilized a customized cage and specifically developed observational programs for nest building, social avoidance, and other behaviors using an infrared depth camera to acquire three-dimensional (3D) data of animal behavior (Negura system). We determined the volume of nesting materials from these 3D depth images. Mice exposed to ASDS showed increased spontaneous activities, decreased rearing, and delayed nest building; however, nest-building activity was gradually recovered during the dark period of the 24 hr observation interval. At the endpoint following 24 hr, the ASDS and control groups showed no differences in nest volumes. Furthermore, we observed the time courses of both nest building and social avoidance behaviors and their relationship using the Negura system. Our data demonstrated a weak positive correlation between nest-building delay and social avoidance in ASDS mice. The Negura system can observe various behaviors that reflect the effects of social defeat stress.
Animal Science Journal, 09 Sep. 2020, [Reviewed]

Evaluation of Kansei engineering-based sensor for Agro-industry (KESAN)　　　　　　　　　　　　　　　
Mirwan Ushada; Nafis Khuriyati; Silvia Agustriana; Tsuyoshi Okayama, This paper highlighted evaluation of a device for workload monitoring named as Kansei Engineering-based Sensor for Agro-industry (KESAN). As a newly developed device, usability and performance factors have not been evaluated on KESAN. The research objectives were: 1) To evaluate the usability attributes of KESAN as an appropriate technology
2) To evaluate the performance factors of KESAN for the workload monitoring device. Usability was evaluated by 30 selected manager of Small Medium-sized Enterprises (SMEs) in agro-industry in Yogyakarta Special Region. Usability evaluation indicated most attributes were accepted by the manager. Device performance factors were evaluated on nine selected workers from fish processing, crackers, and bakery industry. Seven workers were evaluated on consecutive and two workers on non-consecutive production scenarios. Measurement periods were verified in fish processing for another two evaluation weeks. Research results concluded the KESAN is usable for the manager and possible use in practice for workload monitoring in agro-industry. The results will be used for design improvement of KESAN based on human-machine interface., Int. Comm. of Agricultural and Biosystems Engineering
Agricultural Engineering International: CIGR Journal, 2020

Trunk Movement Quantification of Adult with and without Mental Disability during Gardening Task Using Wireless Tri-Axial Accelerometer
Sani, D. N; Komatsuzaki, M; Yamakawa, Y; Takahashi, H; Shibanuma, S; Yasue, T; Okayama, T; Toyoda, A, 園芸作業がもたらす心身の健康維持に関する効果は障がい者をふくめた多くの市民に注目されている．本研究では，園芸作業が，健常者および精神障がい者の作業動作の違いについて検討した．ワイヤレス3軸加速度計を用いて，精神障がい者6人および健常者7人を対象として，6種の異なる作業強度の園芸作業を行った．園芸作業中の平均動的加速度は，健常者と精神障がい者とでは大きく異なった．精神障がい者は，溝堀り作業など労働強度が高い作業では，動的加速度は健常者よりも有意に低くなった．とくに，精神障がい者と健常者では溝堀り作業工程などのサイクルの違いが認められた．これに対し，播種作業など比較的作業強度が低い作業については，動的加速度は健常者との差異は有意ではなかった．このような健常者と精神障がい者との園芸作業ごとのパフォーマンスの違いは，両者が協調して実施する園芸活動などのプログラム策定の基礎データとなる．, 日本農作業学会
農作業研究, 2018, [Reviewed]

Affective Temperature Control in Food SMEs using Artificial Neural Network
Mirwan Ushada; Tsuyoshi Okayama; Nafis Khuriyati; Atris Suyantohadi, Informa UK Limited
Applied Artificial Intelligence, 14 Sep. 2017

Identification of environmental ergonomics control system for Indonesian SMEs
Mirwan Ushada; Atris Suyantohadi; Nafis Khuriyati; Tsuyoshi Okayama, This paper identified the environmental ergonomics control system for Indonesian SMEs (Small Medium-sized Enterprises). The system was defined that workstation environment could be controlled using worker workload and workstation temperature difference. The research objectives were: 1) To analyze the relationship between workstation temperature difference and workload
2) To identify the environmental ergonomics control system for Indonesian SMEs. 380 data set of heart rate, indoor temperature and temperature set points were collected from Indonesian SMEs. Workloads were classified based on heart rate. Temperature difference were determined using set point temperature (Before working) and indoor temperature (After working). Temperature difference were categorized to 14 quadrants. Actors of system were identified. Research result indicated that temperature difference generated various workload. System identification was expected to support further development of environmental ergonomics control., Institute of Electrical and Electronics Engineers Inc.
2017 3rd International Conference on Control, Automation and Robotics, ICCAR 2017, 07 Jun. 2017

Kansei engineering-based artificial neural network model to evaluate worker performance in small-medium scale food production system
Mirwan Ushada; Tsuyoshi Okayama; Atris Suyantohadi; Nafis Khuriyati; Haruhiko Murase, This paper highlighted a new method to evaluate worker performance in small medium-scale food production system. By using Kansei engineering, worker performance can be analysed using verbal parameter of profile of mood states and non-verbal parameter of heart rate in a given workplace environment. Fusing various parameters of worker performance requires a robust modelling tool. An artificial neural network (ANN) model is proposed to evaluate worker performance based on categories of normal, capacity constrained and over capacity workers. The training and inspection data were recapitulated from four types of food production systems as tempe, bakpia, fish chips and cracker. The ANN was trained using back-propagation supervised learning method and inspection data. The trained ANN models produced satisfied correlation between measured and predicted value and minimum inspection error. The research result is applicable not only for building Kansei engineering-based sensor, but also for decision support for production planning and control in food production system., Inderscience Publishers
International Journal of Industrial and Systems Engineering, 2017

Community Gardens as Health Promoters: Effects on Mental and Physical Stress Levels in Adults with and without Mental Disabilities
Nugrahaning Sani Dewi; Masakazu Komatsuzaki; Yuriko Yamakawa; Hiromi Takahashi; Saori Shibanuma; Takeshi Yasue; Tsuyoshi Okayama; Atsushi Toyoda; Hikari Shimonishi; Seiichi Sasaki, The study focuses on psychological and physical effects of stress while performing community garden activities of various intensity levels. The aim of this study was to determine the psychological and physical effects in adults with (case group) and without (control group) mental disabilities. Salivary alpha-amylase (sAA) levels and the stress response scale (SRS-18) were used for the psychological analysis (n = 42). For physical assessment (n = 13), electrocardiogram (ECG), surface electromyogram (sEMG), and respiration rate were continuously measured while performing the activities using a multichannel telemetry system. The results showed that following the activities, the case group exhibited decreasing sAA levels while control group exhibited increasing sAA levels. However, both groups exhibited lower SRS-18 results following the activities. Compared with the control group, the case group had a significantly lower increase in the ratio of the heart rate (IRHR) (5.5%) during low-intensity work (filling pots with soil), but a significantly higher IRHR (16.7%) during high-intensity work (turning over soil). The case group experienced significantly higher levels of fatigue during high-intensity work (digging) than during the rest condition. These findings indicate that appropriate workload allocation, according to health, is necessary in the community garden setting because reducing the intensity of work assignments for people with mental disabilities will reduce their physical stress., MDPI AG
SUSTAINABILITY, Jan. 2017, [Reviewed]

The acute social defeat stress and nest-building test paradigm: A potential new method to screen drugs for depressive-like symptoms.　　　　　　　　　　　　　　　
Behav. Processes, 2017, [Reviewed]

Kansei Engineering-based Sensor for Agro-industry (KESAN) for measurement and monitoring of worker performance
Mirwan Ushada; Atris Suyantohadi; Nafis Khuriyati; Tsuyoshi Okayama; Dzikri Rahadian Fudholi, This paper highlighted Kansei Engineering-based Sensor for Agro-industry, which is abbreviated as KESAN. KESAN was developed to measure and monitor worker performance in Agro-industrial Small-Medium sized Enterprises (SMEs). It was developed using Artificial Neural Network (ANN) model based on Kansei Engineering approach. The training and validation data was collected from four types of Food's SMEs in Special Region of Yogyakarta. ANN's weight is transformed in to Arduino. There were 12 inputs of KESAN as total mood disturbance, heart rate, workstations temperature, relative humidity, lighting and noise, which were measured before and after working. The worker performance was indicated by LED signal of green (normal workers), yellow (CCW) and red (OCW). This research concluded KESAN as a low cost, portable, practicable and intermediate information technology for SMEs., Institute of Electrical and Electronics Engineers Inc.
Proceedings - 2015 International Conference on Science in Information Technology: Big Data Spectrum for Future Information Economy, ICSITech 2015, 16 Feb. 2016

Murine depression model and its potential applications for discovering food and farm products with antidepressant-like effects.
T. Goto; S. Tomonaga; T. Okayama; A. Toyoda, Advanced societies face increased health problems related to various stresses. Chronic psychological stress is a major risk factor for psychiatric disorders such as depression. Although therapeutic agents reduce several symptoms of depression, most have side effects in a broad range of the population. Furthermore, some victims of depression do not show significant improvement with any drugs, so alternative approaches are needed. Good dietary habits may potentially reduce depressive symptoms, but there is little scientific evidence thus far. Murine depression models are useful to test nutritional approaches in vivo. Our model mice subjected to a subchronic mild social defeat stress (sCSDS) paradigm show several alterations in physiological parameters and social behavior. These stress-induced symptoms in sCSDS mice can be used as cues to identify antidepressant-like natural resources including foods and farm products. We previously discovered that sCSDS mice show more vulnerability to social stress by changing dietary condition. In addition, we developed a more objective system for analyzing mouse behavior using a 3D depth-sensing camera to understand relationships between diet and behavior. The combination of sCSDS mice with 3D behavioral analysis is a powerful method for screening ingredients in foods and farm products for antidepressant-like effects., Frontiers
Frontiers in Neuroscience, 2016, [Reviewed]

Subchronic and mild social defeat stress alter mouse nest building behavior
Hikari Otabi; Tatsuhiko Goto; Tsuyoshi Okayama; Daisuke Kohari; Atsushi Toyoda, Behavioral and physiological evaluations of animal models of depression are essential to thoroughly understand the mechanisms of depression in humans. Various models have been developed and characterized, and the socially defeated mouse has been widely used for studying depression. Here, we developed and characterized a mouse model of social aversion using a subchronic and mild social defeat stress (sCSDS) paradigm. Compared to control mice, sCSDS mice showed significantly increased body weight gain, water intake, and social aversion to dominant mice on the social interaction test. We observed nest building behavior in sCSDS mice using the pressed cotton as a nest material. Although sCSDS mice eventually successfully built nests, the onset of nest building was severely delayed compared to control mice. The underlying mechanism of this significant delay in nest building by sCSDS mice is unclear. However, our results demonstrate that nest building evaluation is a simple and useful assay for understanding behavior in socially defeated mice and screening drugs such as antidepressants. (c) 2015 Elsevier B.V. All rights reserved., ELSEVIER SCIENCE BV
BEHAVIOURAL PROCESSES, Jan. 2016, [Reviewed]

Development of Kansei Engineering-based watchdog model to assess worker capacity in Indonesian small-medium food industry
Mirwan Ushada; Tsuyoshi Okayama; Haruhiko Murase, This paper highlighted a new method to assess worker capacity in Indonesian small-medium food industry (SMFI). The sustainability of SMFI should be maintained based on the worker capacity. The status of worker capacity could be categorized as normal, capacity constrained worker and bottleneck. By using Kansei Engineering, worker capacity can be assessed using verbal parameter of mood and non-verbal parameter of heart rate in a given workplace environment. Fusing various Kansei Engineering parameters of worker capacity requires a robust modeling tool. Artificial Neural Network (ANN) was used to develop a Kansei Engineering-based watchdog model. The model is defined as a black box relationship between worker capacity and workplace environmental parameters. Its function for assessing worker capacity can be defined as dynamic variation of mood and heart rate in a given workplace environment. Thus, these relationships were modeled using a three layered ANN. The model was demonstrated via a case study of Tempe Industry. The trained ANN model generated satisfied accuracy and minimum error. The research results concluded the possibility to assess the worker capacity in Indonesian SMFI by combining Kansei Engineering and ANN., Elsevier B.V.
Engineering in Agriculture, Environment and Food, 01 Oct. 2015

Strain differences in temporal changes of nesting behaviors in C57BL/6N, DBA/2N, and their F1 hybrid mice assessed by a three-dimensional monitoring system
Tatsuhiko Goto; Tsuyoshi Okayama; Atsushi Toyoda, Nest building is one of the innate behaviors that are widely observed throughout the animal kingdom. Previous studies have reported specific brain regions and genetic loci associated with nest building in mice. These studies mainly evaluated the nest structure, without observing the nesting process. In this study, we evaluated the effects of strain and learning on the nesting process of mice using a 3D depth camera. To determine the quality of the nest structure, a conventional scoring method, Deacon scores 1-5, was applied to the recorded depth images. The final score of the nest, latency to start nesting behavior, and latencies to reach Deacon scores 3-5, were determined using three genetically different mouse strains-C57BL/6NCrl (B6), DBA/2NCrlCrlj (DBA), and B6D2F1/Crl (B6D2F1). The final score of the DBA nest was significantly lower than that of the B6D2F1 nest, and DBA mice showed significantly longer latency to start nest building than the other two strains in the first trial. By observing the time course of nest building, we confirmed that DBA mice took significantly longer to build their nests than B6 and B6D2F1 mice. Although we did not find any significant differences between DBA and B6 mice in the final assessment of the nest based on the Deacon method, overnight monitoring of the nesting behavior using a 3D depth camera could elucidate the clear differences in the amount of time spent nesting between DBA and B6 mice. In addition, the learning effect was more evident in DBA mice than it was in B6 in terms of latencies to reach Deacon score 3-5 in five repeated trials. DBA mice showed a gradual decrease in latency to build, whereas nesting behaviors of B6 mice were relatively consistent throughout the five trials. Therefore, our 3D depth image method gives higher resolution and structural information regarding the nesting process in mice. Future genetic analyses using the 3D assessment system will provide novel insights into the complex genetic basis for nesting and other behaviors in animals., Elsevier
Behavioural Processes, 01 Oct. 2015, [Reviewed]

〔Major achievements〕Assessing nest-building behavior of mice using a 3D depth camera
Okayama; T.; Goto; T.; Toyoda; A., Lead
Neuroscience Methods, 28 May 2015, [Reviewed]

Kansei’s physiological measurement in small-medium sized enterprises using Profile of Mood States and heart rate
Mirwan Ushada; Tsuyoshi Okayama; Nafis Khuriyati; Atris Suyantohadi, Kansei’s physiological measurement were pursued in 4 (four) production systems of small-medium sized enterprises in in Special Region of Yogyakarta (DIY), Indonesia. These SMEs produces indigenous food product of Bakpia, Cracker, Fish chips and Tempe. Profile of Mood States (POMS) was used as the verbal parameter to measure Total Mood Disturbance (TMD). Heart rate was used as the non-verbal parameter. The measurement was pursued in daily check-in before working and check-out after working. The research results indicated TMD and heart rate are sensible to measure physiological response to workplace environmental parameters. Workplace environment has greater impact to the sensibility of worker mood and heart rate in Bakpia and Tempe’s SMEs, while it has less impact in Cracker and Fish Chips’s SMEs., Springer Verlag
Lecture Notes in Electrical Engineering, 2015

Strain differences in temporal changes of nesting behaviors in C57BL/6N, DBA/2N, and their F1 hybrid mice assessed by a three-dimensional monitoring system　　　　　　　　　　　　　　　
Behav. Processes, 2015, [Reviewed]

個体レベルのシステムバイオロジー 細胞回路同定・非侵讐計測・非接触摂動(仮) 赤外線深度センサを利用した動物、植物の動きの解析　　　　　　　　　　　　　　　
豊田 淳; 後藤 達彦; 荒川 俊也; 小針 大助; 鈴木 丈詞; 岡山 毅, (公社)日本生化学会
日本生化学会大会プログラム・講演要旨集, Oct. 2014

Combining kansei engineering and artificial neural network to assess worker capacity in small-medium food industry
Mirwan Ushada; Tsuyoshi Okayama; Atris Suyantohadi; Nafis Khuriyati; Haruhiko Murase, This paper highlighted a new method for worker capacity assessment in Indonesian small-medium food industry. The sustainable and productivity of Indonesian food industry should be maintained based on the workers capacity. The status of worker capacity could be categorized as normal, capacity constrained worker and bottleneck. By using Kansei Engineering, worker capacity can be assessed using verbal response of profile of mood states, non-verbal response of heart rate in a given workplace environmental parameters. Fusing various Kansei Engineering parameters of worker capacity requires a robust modeling tool. Artificial Neural Network (ANN) is required to assess worker capacity. The model was demonstrated via a case study of Tempe Industry. The trained ANN model generated satisfied accuracy and minimum error. The research results concluded the possibility to assess worker capacity in Indonesian small-medium food industry by combining Kansei Engineering and ANN., Institute of Advanced Engineering and Science
International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 01 Aug. 2014

〔Major achievements〕Future gardening system -smart garden
岡山 毅
Journal of Developments in Sustainable Agriculture, 2013, [Reviewed]

Study of the Precision Farming with Soil Maps Describing Environmental Load Using a Real-time Soil Sensor　　　　　　　　　　　　　　　
Hiroki UMEDA; Sakae SHIBUSAWA; Tsuyoshi OKAYAMA; Denis Yukio SAKUMA; Toshikazu KAHO; Kazunori NINOMIYA
Jpn. Soc. Agricultural Machinery, 24 Apr. 2011, [Reviewed]

The effect of photoperiod on β gene expression under control CaMV-35S promoter in transgenic lettuce
Tsuyoshi Okayama; Hajime Furukawa; Kenichi Okamura; Haruhiko Murase, Lead, We investigated the effects of different photoperiods on the expression level of GUS genes regulated by the CaMV-35S promoter in leaf lettuce (Lactuca sativa L. cv. 'Greenwave') for a recombinant protein production system. A leaf disk experiment and a cultivation experiment were conducted in different photoperiods. A linear relationship (R2 = 0.9934) was observed between the lengths of photoperiods and GUS activities per unit fresh weight in the leaf disk experiment. This result indicates that the expression of the CaMV-35S promoter during a photoperiod was much more enhanced than that during a dark period. In the cultivation experiment, a longer photoperiod helped not only to enhance the growth of a lettuce plant but also to increase its GUS activity. As a result, GUS activity per plant under the 24:0 h photoperiod was significantly (P<
0.05) higher than that under the 16:8 and 8:16 h photoperiods. However, the question remains whether these results for GUS-CaMV-35S promoter can be applied to other recombinant proteins or promoters. Further studies are thus required to establish a practical strategy for designing an efficient recombinant production system, in a plant factory., Biotron Institute
Environmental Control in Biology, 2010, [Reviewed]

Estimation of the raccoon population in an extensive area using generalized linear model and generalized linear mixed-model
Takenori Kanai; Tsuyoshi Okayama; Shuhei Koyama, The release of pet raccoons (Procyon lotor), a North American native, has resulted in the species becoming naturalized in most of Japan's prefectures. When state and local governments implement wildlife management programs including an alien species, it is important to know the size of the target population to be managed. The population estimation for an alien species over an extensive area, such as raccoon, has not yet been developed, In this study, we developed a raccoon population model using two statistical methods: a generalized linear model (model 1) and a generalized linear mixed-model (model 2) were analyzed using geographic information system (GIS) data based on harmful animal extermination data, land-use data, and satellite data. The explanatory variable of the natural environment was elucidated by a stepwise approach in both models. Based on the two models, the population distribution of raccoons within Osaka Prefecture was estimated using GIS. Model estimates were highly correlated with actual data on the presence of raccoons (model 1: r = 0.898, model 2: r = 0.898). Model 1 estimated the size of the raccoon population in Osaka Prefecture to be 2,836 individuals (95% CI = 2,350-3,418) and model 2 estimated it to be 2,836 individuals (95% CI = 2,289-3,515).
, Japanese Society of Agricultural Informatics
Agricultural Information Research, 2010, [Reviewed]

Evaluation method for internal quality of leek and their variability　　　　　　　　　　　　　　　
Tsukasa Iino; Sakae Shibusawa; Tsuyoshi Okayama; Hiroki Umeda; Yoichro Kojima; Masakazu Kodaira
Japanese Society of Agricultural Machinery, 2010, [Reviewed]

Time course of the expression of the CaMV35S-GUS gene in transgenic lettuce plants grown in a plant factory
Tsuyoshi Okayama; Kenichi Okamura; Haruhiko Murase, Lead, Leaf lettuce (Lactuca sativa L. cv. 'Greenwave') containing an introduced Cauliflower mosaic virus-35S promoter fused onto the the ß-glucuronidase (GUS) gene was grown in a plant factory for 50 days from seeding. Measurements of the GUS expression level of leaves indicated that the GUS protein that accumulated in the leaves was very stable and did not degrade. Consequently, the GUS expression per plant increased exponentially as the cultivation period became longer. This stability of the recombinant protein indicates that a longer cultivation period would be more efficient than the conventional cultivation period in a plant factory. However, the optimum cultivation period depends on the stability of the recombinant protein which is required., Elsevier B.V.
Engineering in Agriculture, Environment and Food, 2009, [Reviewed]

Modeling of forced convection airflow driven by thermal gradient caused by evaporation from cover plant
Park; J-E; Okayama; T.; Murase; H., 文理シナジー学会
文理シナジー学会, 2009, [Reviewed]

Local wind control near the wall greening by using a neural network
Jai-Eok Park; Tsuyoshi Okayama; Haruhiko Murase, This study focuses on generating and controlling air flow caused by temperature differences and increasing the greening rate in urban areas by means of biowalls. In this study, computational fluid dynamics (CFD) software and an artificial neural network. (ANN) inverse model were used to study generating and controlling air flow. First, an ANN inverse model was trained and tested using the data obtained from the CFD simulation, Then, the trained ANN inverse model recommended greening patterns to generate the desired air flow. Finally, a model study was conducted under similar conditions on the greening patterns recommended by the ANN inverse model. The most highly recommended greening pattern was whole-greening, in which the average temperature of 35.5°C would generate ascending air flow at a rate of 0.3 m·s-1. Wind velocity in the model study of a whole-greening pattern in which average temperature was 33.8°C, was 0.29 m·s-1' which is close to the desired wind velocity in the ANN inverse model. This result shows that it is possible to generate and control air flow near bio-greening caused by temperature differences, and this method which used CFD simulation and ANN inverse model is applicable., Biotron Institute
Environmental Control in Biology, 2009, [Reviewed]

A dynamic model for simulating recombinant protein production in transgenic lettuce for optimum environmental control
Tsuyoshi Okayama; Takenori Kanai; Mirwan Ushada; Kenichi Okamura; Haruhiko Murase, Lead, A dynamic model for simulating recombinant protein production in transgenic lettuce for optimum environmental control was developed. The model comprised three main parameters, which were leaf fresh weight, the number of cells, and amount of protein in each leaf. The differential equations of the model were integrated using the modeling software STELLA™. The model was calibrated based on the measured data of transgenic lettuce plants which were grown in a plant factory for 50 days from seeding. The plants contained an introduced Cauliflower mosaic virus-35S promoter fused onto the β-glucuronidase gene. Simulations were conducted to investigate the effect of plant growth control on the productivity of recombinant proteins which have various stabilities. The simulations indicated the importance of recombinant protein stability. If the parameters corresponding to the production and degradation of a recombinant protein can be identified, the simulation will be a strong tool for devising an environmental control strategy for highly efficient recombinant protein production systems., Biotron Institute
Environmental Control in Biology, 2009, [Reviewed]

リアルタイム土壌センシングシステムによる土中画像を用いた土壌パラメータ推定手法の検討
梅田 大樹; 澁澤 栄; 小平 正和; 下保 敏和; 平子 進一; 二宮 和則; 岡山 毅, The Japanese Society of Agricultural Machinery and Food Engineers
農業機械学会誌, 2008

Estimation of evapotranspiration rate using neural network with plant motion
Tsuyoshi Okayama; Yang Yang; Peter P. Ling; Haruhiko Murase, Lead, Two neural network (NN) models were developed to estimate evapotranspiration (ET) rate of New Guinea Impatiens (Impatiens New Guinea Hibrid). Inputs of one NN model were canopy temperature, environmental factors (air temperature, relative humidity, radiation), and the plant motion (optional). The plant motion was calculated using the top projected canopy area. The mechanistic model was used in order to provide a baseline with which to compare performances of the NN models. In non-drought stress condition, root mean square error (RMSE) between estimated and measured ET rate of the NN model with the plant motion (NNP), the NN model without plant motion (NN), and the mechanistic model were 21.80%, 22.04%, and 29.94%, respectively. In drought stress condition, RMSE of the NNP, the NN, and the mechanistic model were 39.02%, 49.8.1%, and 72.09%, respectively. The plant motion could contribute the better performance when the plants were in drought stress condition. The NN model could estimate the ET rate without parameters used in the mechanistic model., Biotron Institute
Environmental Control in Biology, 2008, [Reviewed]

A simulation for precision airflow control using multi-fan in a plant factory
Tsuyoshi Okayama; Kenichi Okamura; Jai-Eok Park; Mirwan Ushada; Haruhiko Murase, Lead, A new airflow system with multi-fan for precise airflow control and its evaluating method were suggested. A computational fluid dynamics (CFD) simulation was employed to analyze airflow. A cultivation space (1.0 × 1.0 × 0.5 m3) was established in the CFD model, and 12 lettuce models with simplified shapes were set in the space. Six small fans were used for generating airflow in the model. In order to verify the accuracy of the CFD model against the actual situation, the same situation as the CFD model were prepared. Lettuce replicas were made of steel meshes with sealing tapes. The accuracy of the CFD model was enough to investigate performances of the airflow control patterns. We assumed that the net photosynthetic rate per plant can be calculated the summation of the net photosynthetic rate calculated with the air current speed and the leaf area in the cell (the minimum unit of the CFD model) on the surface of the lettuce models which were the adjacent cells to the lettuce models. The suggested airflow control pattern could provide more uniform airflow distribution than, the conventional airflow pattern and also enhance the net photosynthetic rate more than that in the conventional airflow pattern with the same energy input., Biotron Institute
Environmental Control in Biology, 2008, [Reviewed]

A simulation model for heterologous protein production in transgenic lettuce
Tsuyoshi Okayama; Kenichi Okamura; Harahiko Murase, Lead, A simulation model was developed for heterologous protein production in transgenic lettuce. The model focused on. the time course of fresh weight and heterologous protein of each leaf. The total amount of heterologous protein in a head of lettuce was expressed by the summation of all amounts of heterologous protein in all leaves. Soluble rather than heterologous protein concentration was used due to the unavailability of the transgenic lettuce producing specific heterologous protein. The parameters of the model were decided based on lettuce (Lactuca sativa L. cv. 'Greenwave') grown in the plant factory at Osaka Prefecture University. The first simulation reproduced the time course of soluble protein production in a head of lettuce grown under conventional environmental conditions. In the second simulation, protein production at 15°C and 25°C was simulated to investigate the effect of the model parameters on protein production. The results indicated the existence of an optimum cultivation cycle and the advantages and disadvantages of protein production at low and high temperature., Biotron Institute
Environmental Control in Biology, 2008, [Reviewed]

Textural analysis of soil images to quantify and characterize the spatial variation of soil properties using a real-time soil sensor
Swapan Kumar Roy; Sakae Shibusawa; Tsuyoshi Okayama, The primary aim of this work was to predict soil moisture content and soil organic matter using soil image texture statistics. Co-occurrence method texture statistics were used to characterize Andisol soils to extend the possibility of using RGB color space in representing composite soil color. Four co-occurrence method textural features; angular second moment (ASM), contrast (CON), correlation (COR) and inverse difference moment (IDM) calculated from generalized matrix for image texture representation were used to describe soil moisture content variation under laboratory conditions. It was found that CON and COR had negative responses to moisture content (MC) and ASM had positive response to MC. The same were also observed in direct captured field soil images in terms of textural indices against MC and soil organic matter (SOM). The correlations were significant for ASM and COR in fertilizer and combined (fertilizer-manure) plots and insignificant in manure plots. To relate sub-surface image textural indices and soil properties for individual years, stepwise multiple linear regression (SMLR) and supervised feed-forward neural networks (NN) were investigated in an attempt to provide minimal prediction errors. The improvements achieved by NN with minimal prediction errors were better than SMLR in different years. It was assumed that several years of data sets with a much larger number of observations could be used to differentiate fundamental soil properties., SPRINGER
PRECISION AGRICULTURE, Dec. 2006, [Reviewed]

Monitoring of topsoil characteristics using field airborne hyper signatures and underground soil images from real-time soil spectrophotometer　　　　　　　　　　　　　　　
Roy; S. K.; Shibusawa; S.; Okayama; T.
農業機械学会誌, 2006, [Reviewed]

近赤外分光法を用いた土壌診断手法の開発 －偏光を利用した手法の検討－
梅田大樹; 澁澤 栄; 高柳正夫; 岡山 毅; 平子進一, A new technique applying polarized near-infrared spectroscopy is proposed for precise measurements of moisture content in soil. Diffuse reflectance spectra of seven kinds of soil samples were measured. Linear relation between the moisture content and the signal intensity due to water is lost when the moisture content of the soil is high, presumably because intense direct reflection at the sample surface interferes measurements. Application of polarized light was found to improve the precision of quantitative measurement. In the scheme, by using a polariz-ing plate for each of the incident and reflected light, p-polarized light was irradiated on a soil sample, while only the s-polarized light from the sample was detected. The technique is expected to be applicable not only for precise measurements of moisture content but also for diagnosis of texture of soil with high concentration moisture., The Spectroscopical Society of Japan
分光研究, 2006, [Reviewed]

Classification of Shape of Bell Pepper by Machine Vision System
Okayama; T.; Qiao J.; Tanaka; H.; Kondo; N.; Shibusawa; S., Lead, A machine vision method was developed for the objective and rapid classification of the shape of bell (sweet) peppers. Based on the local grading standards, bell peppers are classified in two grades (A and B) based on external color, shape and incidence of bruises or disease. This paper reports on two experiments. In the first experiment, significant features to represent shape properties were selected and a classification test was conducted using these features. As a result, five features (Rt, Cmin, Cr, Hl₂m and Hl₃m) calculated from three images of each sample were deemed to be relevant. The classified results by a neural network classifier showed that the classification accuracy for shape A, B and all samples was 95.12%, 100% and 95.7%, respectively. In the second experiment, the number of side views and the angle between cameras were optimized using a simulation. Simulated results indicated that the best angle was 90°, when only two views were available. And the classification accuracy was going up following the increasing of number of views from 2 to 18. Relatively better results could be achieved when the number of views was four, the classification accuracy for shape B was 80%, and for all samples was 91%. When the number of views was eight, a satisfied classification accuracy could be obtained, 92 % for shape B, 100 % for shape A and 96% for all the samples., Japanese Society of Agricultural Informatics
農業情報研究, 2006, [Reviewed]

Data fusion of soil spectral reflectance and image features for predicting soil parameters using real-time soil sensor　　　　　　　　　　　　　　　
Okayama; T.; Shibusawa; S.; Kaho; T.; Umeda; H.; Hirako; S., Lead
農業機械学会誌, 2006, [Reviewed]

DNA algorithms based on exon shuffling
Tsuyoshi Okayama; Haruhiko Murase, an understanding of a natural system's information handling can lead to more effective artificial optimization techniques. There are successful optimization algorithms represented in biosystems that have proven useful in engineering applications (artificial neural networks, immune system algorithms, etc). The goal of our study is to develop a new biosystem derived an optimization algorithm which is called a DNA algorithm (DNAA) based on optimization procedures in DNA. We have focused on an analogy between optimizing procedures for protein functions using exon shuffling and those for an optimization problem in the engineering field. We used a traveling salesman problem (TSP) for evaluation of the performance of the DNAA. The DNAA could estimate approximately optimal tour routes in the 25-city TSP. Copyright © 2005 IFAC., IFAC Secretariat
IFAC Proceedings Volumes (IFAC-PapersOnline), 2005

DNA algorithm and its application
Okayama; T.; Murase; H., Lead, An understanding of the way a natural system handles information can lead to more effective artificial optimization techniques. There are successful optimization algorithms found in biosystems that have proven useful in engineering applications (artificial neural networks, genetic algorithms, immune system algorithms, etc). Okayama et al. developed a new biosystem-derived optimization algorithm called a DNA algorithm (DNAA). They found that the insertion of introns is effective for protecting important exons from mutation and DNAAs performed robustly even under a fairly high rate of mutation in string search problems and knapsack problems. In this study, we have focused on exon shuffling as a new optimization technique for the DNAA. The intron-exon organization of eukaryotic genes suggests that new combinations of exons can be created by recombining them within the intervening intron sequences, yielding rearranged genes with altered functions. This evolutionary mechanism of recombining exons from unrelated genes is known as exon shuffling. We consider modules as 'building blocks' which can be a part of high fitness solutions. To evaluate the performance of the DNAA we used a traveling salesman problem (TSP), one of the most widely used challenges for combinational optimization. In the experiment, we used a 100-city TSP. The intron insertion ratio and intron deletion ratio were varied from 2 to 128. The DNAA could approximate optimal tour routes in the 100-city TSP., Japanese Society of Agricultural Informatics
農業情報研究, 2005, [Reviewed]

事業型生ごみ発生現場におけるコンポスト化一次処理装置の意義と効果　　　　　　　　　　　　　　　
姜虎; 笹尾 彰; 澁澤 栄; 八木 茂; 岡山 毅; 野田玲治
農業機械学会誌, 2005, [Reviewed]

リアルタイム土中光センサによるテクスチャ画像解析を用いた土壌パラメータの推定
ROY SWAPAN KUMAR; 岡山 毅; 澁澤 栄; 笹尾 彰, The Japanese Society of Agricultural Machinery and Food Engineers
農業機械学会誌, 2004, [Reviewed]

DNAアルゴリズム
岡山 毅; 北端啓司; 村瀬治比古, Lead, Recently, genetic algorithms (GAs) have received a lot of attention because of their easy-to-use features for solving many engineering problems. They are capable of locating a good approximation in extremely large search spaces with a reasonable amount of computational effort. In this study, we have developed DNA algorithms (DNAAs). The distinction between GAs and DNAAs comes from the fact that GAs take into account only exons whereas DNAAs are concerned about not only exons but also introns. Exons are parts of genes embedded in DNA. Introns are the segments of DNA remaining after the removal of genes. It is said that exons do not contain any information for protein synthesis. It speculated that introns might have some hidden roles. If all parts of DNA had important information, mutations or mal-duplication would be expected to cause fatal problems. It can be hypothesized that introns, therefore, serve as protection for exons against mutations. On basis of this hypothesis, we investigated the role of introns by using an artificial life. Then a string search problem and a knapsack problem were solved by DNAAs in order to evaluate performance of DNAAs. DNAAs performed robustly even under a fairly high ratio of mutation. It was also found that more introns were accumulated near exons whose role seemed more important than other exons., Japanese Society of Agricultural Informatics
農業情報研究, 2003, [Reviewed]

Effects of CO2 concentration and light intensity on photosynthesis of a rootless submerged plant, Ceratophyllum demersum L. used for aquatic food production in bioregenerative life support systems
Y Kitaya; T Okayama; K Murakami; T Takeuchi, In addition to green microalgae, aquatic higher plants are likely to play an important role in aquatic food production modules in bioregenerative systems for producing feed for fish, converting CO2 to O-2 and remedying water quality. In the present study, the effects of culture conditions on the net photosynthetic rate of a rootless submerged plant, Ceratophyllum demersum L., was investigated to determine the optimum culture conditions for maximal function of plants in food production modules including both aquatic plant culture and fish culture systems. The net photosynthetic rate in plants was determined by the increase in dissolved O-2 concentrations in a closed vessel containing a plantlet and water. The water in the vessel was aerated sufficiently with a gas containing a known concentration of CO(2)gas mixed with N-2 gas before closing the vessel. The CO2 concentrations in the aerating gas ranged from 0.3 to 10 mmol mol(-1). Photosynthetic photon flux density (PPFD) in the vessel ranged from 0 (dark) to 1.0 mmol m(-2) s(-1), which was controlled with a metal halide lamp. Temperature was kept at 28degreesC. The net photosynthetic rate increased with increasing PPFD levels and was saturated at 0.2 and 0.5 mmol m(-2) s(-1) PPFD under CO2 levels of 1.0 and 3.0 mmol mol(-1), respectively. The net photosynthetic rate increased with increasing CO2 levels from 0.3 to 3.0 mmol mol(-1) showing the maximum value, 75 nmolO(2) gDW(-1) s(-1), at 2-3 mmol mol(-1)CO(2) and gradually decreased with increasing CO2 levels from 3.0 to 10 mmol mol(-1). The results demonstrate that C. demersum could be an efficient CO2 to O-2 converter under a 2.0 mmol mol(-1) CO2 level and relatively low PPFD levels in aquatic food production modules. (C) 2003 COSPAR. Published by Elsevier Science Ltd. All rights reserved., PERGAMON-ELSEVIER SCIENCE LTD
SPACE LIFE SCIENCES: CLOSED ARTIFICIAL ECOSYSTEMS AND LIFE SUPPORT SYSTEMS, 2003, [Reviewed]

Solution for N queens problem using a photosynthetic algorith
Tsuyoshi Okayama; Haruhiko Murase, The process of the reaction of carbon molecules in the dark reaction of photosynthesis was chosen as a BDA (Biosystem-Derived Algorithm). In this study, the BDA was referred to as the 'Photosynthetic Algorithm (PA)'. The PA utilizes the rules governing the conversion of carbon molecules from one substance to another in the Benson-Calvin cycle and Photorespiration reactions. In this paper, the principles of the PA are presented in detail. The Queen's problem was selected as a typical optimization problem to demonstrate the performance of the PA., IFAC Secretariat
IFAC Proceedings Volumes (IFAC-PapersOnline), 2002

Leaf cellular automata and its application
T Okayama; H Murase, Recently. genetic algorithms and other newly developed search techniques have received a lot of attention, because of their easy to use nature in many engineering problems. They are capable of locating a good approximate in extremely large search spaces. with a reasonable amount of computational effort. Leaf cellular automata (LCA) developed and evaluated in this study are also one of search algorithms inspired by photosynthetic procedures a leaf. Cellular automata are used as fundamental technique., IEEE
SICE 2002: PROCEEDINGS OF THE 41ST SICE ANNUAL CONFERENCE, VOLS 1-5, 2002, [Reviewed]

大規模軟弱葉菜施設栽培での土壌の経年的データ解析による改善手法の検討
齋藤竜馬; 齋藤竜馬; 岡山毅; 淺木直美; 小松崎将一
農作業研究, 2023

イチゴのパラメトリック成長モデルの提案
岡山毅; 望月佑哉
農業食料工学会年次大会講演要旨, 2022

データ駆動型農業のための植物フェノタイピング技術について
岡安崇史; 岡山毅; 平良英三; 福島崇志; 梅田大樹
農業食料工学会年次大会講演要旨, 2022

キャベツの単作・間作間における品質および虫害について
渡辺翔史; 岡山毅; 小松崎将一; LU Wenyi
農作業研究, 2021

点群から推定するイチゴ成長モデルの提案
岡山毅; 望月佑哉
農業食料工学会年次大会講演要旨, 2021

スマート農業で活かす・活かせる植物フェノタイピング技術について
岡安崇史; 岡山毅; 川越義則; 梅田大樹; 平良英三
農業食料工学会年次大会講演要旨, 2021

Recommendation for Promoting Smart Agriculture Using Low-Cost Open Source Hardware　　　　　　　　　　　　　　　
Tsuyoshi OKAYAMA
農作業研究, Sep. 2020, [Reviewed], [Invited]

Effects of Different Sowing Methods of Barley used as Living Mulch on Weed Emergence and Yield of Sweet Potato
Asagi Naomi; Nakajima Yuya; Lu Wenyi; Adachi Shunsuke; Nishiwaki Junko; Okayama Tsuyoshi; Komatsuzaki Masakazu
Kanto Journal of Crop Science, 2020

UAV画像による業務用キャベツ結球重量予測
渡辺翔史; 小松崎将一; 岡山毅
関東農業食料工学会年次報告, 2020

UAVによる業務用キャベツの生育モニタリング
渡辺翔史; 岡山毅; 小松崎将一
農作業研究, 2020

家畜とのふれあいを含む農作業活動が精神疾患者の心理・生理的状態に及ぼす効果　　　　　　　　　　　　　　　
安江 健; 竹村 紀穂; 高橋 弘美; 柴沼 沙織; 下西 ひかり; 水野 高昌; 小松崎 将一; 山川 百合子; 小針 大助; 岡山 毅; 佐々木 誠一; 豊田 淳
日本畜産学会大会講演要旨集, Mar. 2017

和牛の分娩前の尾挙げ時間に関わる要因
佐藤晴香; 小針大助; 岡山毅; 豊田淳; 小迫孝実
Animal Behaviour and Management, 2016

Monitoring Nest Building in Mice and Leaf Movement of Kidney Beans Using an Infrared Range Camera
Tsuyoshi Okayama; Tatsuhiko Goto; Takeshi Suzuki; Atsushi Toyoda
Agriculture and Agricultural Science Procedia, 2015, [Reviewed]

赤外線深度センサを用いた異なる光強度に対するインゲンマメの調位運動解析
三ツ木ももこ; 鈴木丈詞; 豊田淳; 豊田淳; 豊田淳; 岡山毅; 岡山毅; 岡山毅
農業食料工学会関東支部年次報告, 2014

Introduction of Bioproduction Engineering　　　　　　　　　　　　　　　
Joint work
Asakura Shoten, 01 Sep. 2012

Novel development of Sunlight Combined Type Plant Facotyr　　　　　　　　　　　　　　　
Joint work
Yokendo, 01 Apr. 2012

３次元計測で切り開く「畜産デジタルツイン」への道　　　　　　　　　　　　　　　
岡山 毅
一般シンポジウムDXが拓く畜産の未来, 06 Mar. 2025, [Invited]

サツマイモの三次元形状解析　　　　　　　　　　　　　　　
朝戸拓望; 浅木直美; 小松﨑将一; 岡山 毅; 岩崎明
サツマイモの三次元形状解析, Mar. 2024

黒毛和種子牛の血統別の発育状況に対する時系列的三次元解析手法の提案　　　　　　　　　　　　　　　
岩田颯斗; 岡山毅; 小針大助; 小松崎将一; 路川強
農作業学会2024年度春季大会, Mar. 2024

ゲームエンジンを使った参加型フェノタイピング仮想実験空間の提案　　　　　　　　　　　　　　　
岡山 毅
農業環境⼯学関連学会2023年合同⼤会, Sep. 2023

4次元（３次元+時間軸）で考えるゲームエンジンを活用した植物工場シミュレーションの可能性と課題　　　　　　　　　　　　　　　
岡山 毅
日本生物環境工学会2023年豊橋大会, Sep. 2023

Developing Dynamic Parametric and Rigging Models of Strawberry Leaf with a Digital Content Creation Tool　　　　　　　　　　　　　　　
Okayama, T; Mochizuki, Y
MLCAS 2023, Jul. 2023

「技術革新」によるスマートアグリの実現　　　　　　　　　　　　　　　
農業をめぐる「技術革新」と茨城の地域活性化, 05 Nov. 2019, [Invited]

Monitoring leaf movement of kidney bean under water stress with a depth sensor　　　　　　　　　　　　　　　
農業環境工学関連5学会2015年合同大会, 17 Sep. 2015

3-D analysis systems for nest building behaviors in mice using a depth sensor　　　　　　　　　　　　　　　
Atsushi Toyoda; Tatsuhiko Goto; Tsuyoshi Okayama
第38回日本神経科学大会, 29 Jul. 2015

Monitoring Nest Building in Mice and Leaf Movement of Kidney Beans using an Infrared Range Camera　　　　　　　　　　　　　　　
Tsuyoshi Okayama; Tatsuhiko Goto; Takeshi Suzuki; Atsushi Toyoda
The 2014 International Conference on Agro-industry (ICoA) : Competitive and sustainable Agro-industry for Human Welfare, 25 Nov. 2014, [Invited]

Investigating Spatiotemporal Light Environmental Control using an LED Projector on Plant Growth　　　　　　　　　　　　　　　
Plant Factory Conference 2014, 12 Nov. 2014

Investigation of Aesthetic Qualities of Tabletop Plant Factories with Growing Multiple Species of Plants　　　　　　　　　　　　　　　
Kasumi Matsuo; Tsuyoshi Okayama
Plant Factory Conference 2014, 12 Nov. 2014

Monitoring of Leaf Movement of Kidney Beans by using an Infrared Depth Camera　　　　　　　　　　　　　　　
Plant Factory Conference 2014, 11 Nov. 2014

３次元センサを用いた インゲンマメ葉の調位運動計測　　　　　　　　　　　　　　　
岡山 毅; 鈴木丈詞
農業食料工学会第73回(2014年度)年次大会, 18 May 2014

３次元センサを用いたインゲンマメ葉の調位運動計測　　　　　　　　　　　　　　　
岡山 毅,鈴木丈詞
農業食料工学会第73回(2014年度)年次大会, 18 May 2014

Future Gardening system - Smart Garden -　　　　　　　　　　　　　　　
Tsuyoshi OKAYAMA
Ag-ESD SYMPOSIUM 2013, 26 Nov. 2013, [Invited]

深度センサを用いた植物生育モニタリングの基礎的研究　　　　　　　　　　　　　　　
農業食料工学会第72回(2013年度)年次大会, 11 Sep. 2013

The effect of light intensity on β-glucuronidase gene expression under control CaMV-35S promoter in transgenic leaf lettuce　　　　　　　　　　　　　　　
Okayama; T.; Okamura; K.; Murase; H.
6th International Symposium on Light in Horticulture, 2009

Lettuce growth model for “edible vaccine” production　　　　　　　　　　　　　　　
Okayama; T.; Okamura; K.; Murase; H.
4th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering (ISMAB), 2008

Textural feature of subsurface soil image for sensor-fusion using real-time soil sensor　　　　　　　　　　　　　　　
Okayama; T.; Shibusawa; S.; Umeda; H.; Hirako; S.
8th International Conference on Precision Agriculture, 2006

Site-specific soil properties prediction using hyperspectral signatures of topsoil coverage and underground image by real-time soil spectrophotometer implementation of precision agriculture　　　　　　　　　　　　　　　
Roy; S. K.; Shibusawa; S.; Okayama; T.
Precision Agriculture '05, 2005

A real-time multi-spectral soil sensor - Predictability of soil moisture and organic matter content in a small field　　　　　　　　　　　　　　　
Roy; S. K.; Shibusawa; S.; Okayama; T.
Precision Agriculture '05, 2005

DNA algorithms based on exon shuffling　　　　　　　　　　　　　　　
Okayama; T.; Murase; H.
16th IFAC World Congress, 2005

Characterization of fertilizer and manure stressed soil images with textural analysis using real-time soil spectrophotometer　　　　　　　　　　　　　　　
Roy; S. K.; Shibusawa; S.; Kaho; T.; Morimoto; E.; Sasao; T.; Okayama; T.; Kondo; N.
7th International Conference on Precision Agriculture, 2004

Mist Irrigation System for Moss　　　　　　　　　　　　　　　
Okayama; T.; Ishikawa; M.; Uemura; S.; Murakami; K.; Murase; H.
International Symposium on Machinery and Mechatronics for Agricultural and Bioproduction Systems, 2002

Solution for N queens problem using a photosynthetic algorithm　　　　　　　　　　　　　　　
Okayama; T.; Murase; H.
15th IFAC World Congress, 2002

Bioproduction machinery　　　　　　　　　　　　　　　
Apr. 2013 - Present
Ibaraki University

Instrumentation Engineering　　　　　　　　　　　　　　　
Apr. 2010 - Sep. 2012
Ibaraki University

Environmental Control Engineering　　　　　　　　　　　　　　　
Ibaraki University

茨城大学

Environment Control in Biology

The Japanese Society Agricultural Machinery and Food Engineering

Japanese Society of Farm Work Research

Japanese Society of Agricultural Informatics

三次元計測と三次元モデルを用いた植物形状の定量的評価手法の開発
基盤研究（C）
茨城大学
Apr. 2020 - Mar. 2023

Neuronal mechanisms of nest building behavior in mice
Grant-in-Aid for Scientific Research (C)
Ibaraki University
01 Apr. 2018 - 31 Mar. 2021

Precise morphological analysis of the cow body during parturition by 3D depth sensor camera
Grant-in-Aid for Scientific Research (C)
Ibaraki University
01 Apr. 2018 - 31 Mar. 2021

Scheme of agro-wisdom robot for technology transfer of experienced farmers
Grant-in-Aid for Scientific Research (A)
Tokyo University of Agriculture and Technology
01 Apr. 2011 - 31 Mar. 2014