研究活動情報

• Real-time work progress estimation based on GIS remote monitoring system for agricultural robot vehicles
  Ricardo Ospina; Noboru Noguchi
  Computers and Electronics in Agriculture, 234, 110313, 110313, Elsevier BV, 2025年07月
  研究論文（学術雑誌）
• Smart Agriculture in Asia
  Fahui Yuan; Ricardo Ospina; Anand Babu; Noboru Noguchi; Yong He; Yufei Liu
  Plant Communications, 2025年05月, ［査読有り］
  英語
• Obstacle detection and avoidance system based on layered costmaps for robot tractors
  Ricardo Ospina; Kota Itakura
  Smart Agricultural Technology, 100973, 100973, Elsevier BV, 2025年04月
  研究論文（学術雑誌）
• Deep Learning-Based Automated Cell Detection-Facilitated Meat Quality Evaluation
  Hui Zheng; Nan Zhao; Saifei Xu; Jin He; Ricardo Ospina; Zhengjun Qiu; Yufei Liu
  Foods, 13, 14, 2270, 2270, MDPI AG, 2024年07月18日
  研究論文（学術雑誌）, Meat consumption is increasing globally. The safety and quality of meat are considered important issues for human health. During evaluations of meat quality and freshness, microbiological parameters are often analyzed. Counts of indicator cells can provide important references for meat quality. In order to eliminate the error of manual operation and improve detection efficiency, this paper proposed a Convolutional Neural Network (CNN) with a backbone called Detect-Cells-Rapidly-Net (DCRNet), which can identify and count stained cells automatically. The DCRNet replaces the single channel of residual blocks with the aggregated residual blocks to learn more features with fewer parameters. The DCRNet combines the deformable convolution network to fit flexible shapes of stained animal cells. The proposed CNN with DCRNet is self-adaptive to different resolutions of images. The experimental results indicate that the proposed CNN with DCRNet achieves an Average Precision of 81.2% and is better than traditional neural networks for this task. The difference between the results of the proposed method and manual counting is less than 0.5% of the total number of cells. The results indicate that DCRNet is a promising solution for cell detection and can be equipped in future meat quality monitoring systems.
• Assessment of remote sensing in measuring soil parameters for precision tillage
  Ishmael Nartey Amanor; Ospina Alarcon Ricardo; Noboru Noguchi
  Journal of Terramechanics, 113-114, 100973, 100973, Elsevier BV, 2024年06月
  研究論文（学術雑誌）
• A Vision-based Navigation System for an Agricultural Autonomous Tractor
  Sristi Saha; Tsuyoshi Morita; Ricardo Ospina; Noboru Noguchi
  IFAC-PapersOnLine, 55, 32, 48, 53, Elsevier BV, 2022年
  研究論文（学術雑誌）
• Real-Time Disease Detection in Rice Fields in the Vietnamese Mekong Delta
  Thanh Tinh NGUYEN; Ricardo OSPINA; Noboru NOGUCHI; Hiroshi OKAMOTO; Quang Hieu NGO
  Environmental Control in Biology, 59, 2, 77, 85, 2021年11月, ［査読有り］, ［最終著者］, ［国際共著］, ［国際誌］
  英語, 研究論文（学術雑誌）

  
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• Experiment of Integrated Technologies in Robotics, Network, and Computing for Smart Agriculture
  Ryota ISHIBASHI; Takuma TSUBAKI; Shingo OKADA; Hiroshi YAMAMOTO; Takeshi KUWAHARA; Kenichi KAWAMURA; Keisuke WAKAO; Takatsune MORIYAMA; Ricardo OSPINA; Hiroshi OKAMOTO; Noboru NOGUCHI
  IEICE Transactions on Communications, E105.B, Issue 4, 364, 378, Institute of Electronics, Information and Communications Engineers (IEICE), 2021年11月, ［査読有り］, ［最終著者］, ［国際誌］
  英語, 研究論文（学術雑誌）

  
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• Utilization of Quasi-Zenith Satellite System for Navigation of a Robot Combine Harvester
  Kannapat Udompant; Ricardo Ospina Alarcon; YongJoo Kim; Noboru Noguchi
  Agronomy, 11, 3, 483, 483, MDPI AG, 2021年03月, ［査読有り］, ［最終著者］, ［国際共著］, ［国際誌］
  研究論文（学術雑誌）, The purpose of this study is to evaluate the performance of a robot combine harvester by comparing the Centimeter Level Augmentation Service (CLAS) and the Multi-Global Navigation Satellite System (GNSS) Advanced Demonstration tool for Orbit and Clock Analysis (MADOCA) from the Quasi-Zenith Satellite System (QZSS) by using the Real Time Kinematic (RTK) positioning technique as a reference. The first section of this study evaluates the availability and the precision under static conditions by measuring the activation time, the reconnection time, and obtaining a Twice Distance Root Mean Square (2DRMS) of 0.04 m and 0.10 m, a Circular Error Probability (CEP) of 0.03 m and 0.08 m, and a Root Mean Square Error (RMSE) of 0.57 m and 0.54 m for the CLAS and MADOCA, respectively. The second section evaluates the accuracy under dynamic conditions by using a GNSS navigation-based combine harvester running in an experimental field. The results show that the RMSE of the lateral deviation is between 0.04 m and 0.69 m for MADOCA and between 0.03 m and 0.31 m for CLAS; which suggest that the CLAS positioning augmentation system can be utilized for the robot combine harvester if the user considers these accuracy and dynamic characteristics.

  
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• Development of phenotyping system using low altitude UAV imagery and deep learning
  Suxing Lyu; Noboru Noguchi; Ricardo Ospina; Yuji Kishima
  International Journal of Agricultural and Biological Engineering, 14, 1, 207, 215, 2021年01月, ［査読有り］, ［最終著者］, ［国際共著］, ［国際誌］
  英語, 研究論文（学術雑誌）

  
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• Basic Research on a Field Scouting Robot Monitoring Crop Progress and Condition (Part 1)― High-accuracy Acquisition Method of Spectral Reflection ―
  Yoshitomo YAMASAKI; Issei IKEDA; Ricardo OSPINA-ALARCON; Noboru NOGUCHI
  Journal of the Japanese Society of Agricultural Machinery and Food Engineers, 83, 1, 37, 47, 2021年01月, ［査読有り］, ［最終著者］, ［国内誌］
  英語, 研究論文（学術雑誌）
• Improved inclination correction method applied to the guidance system of agricultural vehicles
  Ricardo Ospina; Noboru Noguchi
  International Journal of Agricultural and Biological Engineering, 13, 6, 183, 194, 2020年11月, ［査読有り］, ［筆頭著者］, ［国際誌］
  英語, 研究論文（学術雑誌）

  
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• Real-Time Weed Detection in Rice Fields in the Vietnamese Mekong Delta
  Nguyễn Thành Tính; Ngô Quang Hiếu; Hiroshi OKAMOTO; Noboru NOGUCHI; Ricardo OSPINA
  Journal of Japanese Society of Agricultural Machinery and Food Engineers 82(2020) 247-256, 82, 247, 256, 2020年05月, ［査読有り］, ［最終著者］, ［国際共著］, ［国内誌］
  英語, 研究論文（学術雑誌）
• Simultaneous mapping and crop row detection by fusing data from wide angle and telephoto images
  Ricardo OspinaNoboru Noguchi
  Computers and Electronics in Agriculture, 162, 602, 612, 2019年07月, ［査読有り］, ［筆頭著者］, ［国際誌］
  英語, 研究論文（学術雑誌）

  
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• Alternative method to model an agricultural vehicle's tire parameters
  Ricardo Ospina; Noboru Noguchi
  Engineering in Agriculture, Environment and Food, 11, 1, 9, 18, 2018年01月, ［査読有り］, ［筆頭著者］, ［国際誌］
  英語, 研究論文（学術雑誌）

  
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• Determination of Tire Dynamic Properties: Application to an Agricultural Vehicle
  Ricardo Ospina; Noboru Noguchi
  Engineering in Agriculture, Environment and Food, 9, 1, 123, 130, 2016年01月, ［査読有り］, ［筆頭著者］, ［国際誌］
  英語, 研究論文（学術雑誌）

  
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