Researcher Profile and Settings

Affiliation

• Research Faculty of Agriculture　Fundamental AgriScience Research　Bioresource and Environmental Engineering

Job Title

• Assistant Professor

Degree

• Bachelor's in Electronics Engineering（2007/11 Antioquia University (Colombia)）
• Master's in Environmental Resources Division（2015/09 Hokkaido University）
• Ph.D. in Agriculture（2018/09 Hokkaido University）

Research funding number

• 20904220

ORCID ID

•  https://orcid.org/0000-0002-7034-4760

J-Global ID

• 202101015080152605

Educational Organization

•  Bachelor's degree program　School of Agriculture
•  Master's degree program　Graduate School of Agriculture
•  Doctoral (PhD) degree program　Graduate School of Agriculture

Research Activities

Published Papers

• 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 2021/11 [Refereed]
  
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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 0916-8516 2021/11 [Refereed]
  
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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 2021/03 [Refereed]
   

  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 2021/01 [Refereed]
  
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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 2021/01 [Refereed]
  
• 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 2020/11 [Refereed]
  
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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 2020/05 [Refereed]
  
• 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 2019/07 [Refereed]
  
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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 2018/01 [Refereed]
  
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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 2016/01 [Refereed]
  
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Educational Activities

Teaching Experience