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• 車輪のけん引力発生メカニズムとけん引性能予測に関する研究

  2003.09

Published Papers 【 display / non-display 】

Published Papers 【 display / non-display 】

• Feasibility of Introducing Grain Maize (<i>Zea mays </i>L.) as a New Crop into the Crop Rotation System in Southwestern Japan

  Naoki MATSUO, Koichiro FUKAMI, Kimiyasu TAKAHASHI, Keiko NAKANO

  Japanese Journal of Crop Science ( Crop Science Society of Japan )  95 ( 3 ) 205 - 215   2026.07 [ Peer Review Accepted ]

  Type of publication: Research paper (scientific journal)

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    DOI

• Field-Validated Drone-Based Precision Control of the Invasive Apple Snail (Pomacea canaliculata) in Rice Paddy Fields: Chemical Reduction and Yield Preservation

  Senlin Guan, Kimiyasu Takahashi, Shuichi Watanabe, Koichiro Fukami, Hiroyuki Obanawa, Keita Ono

  Drones ( MDPI AG )  10 ( 3 ) 176 - 176   2026.03 [ Peer Review Accepted ]

  Type of publication: Research paper (scientific journal)

  　View Summary

  Apple snail infestation poses a persistent threat to rice production in open-field environments, where long-term coexistence with this species is unavoidable. This study presents a drone-based precision control approach that integrates high-resolution micro-topographic mapping with site-specific pesticide application. A lightweight mapping unmanned aerial vehicle was deployed to produce centimeter-level microtopographic data across paddy fields, facilitating the identification of deep-water areas preferred by apple snails. From these elevation-derived water risk patterns, prescription maps were generated to guide downstream management decisions, and agricultural drones equipped for granular application subsequently performed targeted pesticide delivery only in these high-risk areas. Over 2 years of field experiments, the proposed method achieved rice yields comparable to those under conventional management while reducing pesticide use by 44.1–63.0%, with lower estimated crop damage in regions with high apple snail occurrence. Designed with robustness and scalability in mind, the system demonstrated considerable potential for practical implementation in general farming households and broader applications in precision pest management.

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• Drone Delivery of Insecticide Is Uneven Yet Sufficiently Controls Subterranean Weevils Infesting Sweet Potato Plants.

  Koichiro Fukami, Kimiyasu Takahashi, Senlin Guan, Katsuya Ichinose

  Plants (Basel, Switzerland) ( MDPI AG )  14 ( 22 )   2025.11 [ Peer Review Accepted ]

  Type of publication: Research paper (scientific journal)

  　View Summary

  Drone insecticide spraying is generating increasing concern and interest among academics and the public. However, the differences in the quantity of insecticide delivered by this method, and its efficacy in pest control for individual plants, remain to be evaluated. We examined the distribution and quantity of an insecticide sprayed on sweet potato plants and the method's efficacy in controlling a subterranean weevil infestation. To evaluate delivery patterns, water-sensitive paper was placed on the canopy of the plants, and the insecticide was sprayed from a drone at the registered concentration. Although there was minimal deflection of flight paths (under crosswinds ≤ 3.0 m/s), the distribution varied across the field. The quantity administered was within the regulated range for the insecticide. Efficacy was not significantly influenced by either the quantity administered or pattern of spraying, and the drone application resulted in an equivalent level of control as a conventional ground-based application. While the quantity of the insecticide applied to the canopy was uneven, the method's efficacy was satisfactory at the field scale. These findings can be used to develop safe and cost-effective methods for the drone application of pesticides.

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• Measurement accuracy of CAN data acquired from tractors and correlation analysis under operating conditions

  Keita ONO, Koichiro FUKAMI, Kimiyasu TAKAHASHI

  Engineering in Agriculture, Environment and Food ( Asian Agricultural and Biological Engineering Association )  18 ( 3 ) 133 - 141   2025.10 [ Peer Review Accepted ]

  Type of publication: Research paper (scientific journal)

  　View Summary

  Working (tillage and sowing) depth is critical for crop growth, and a simple yet highly accurate technique for measuring in-field working depth is necessary to achieve uniform growth and increased yield. Therefore, we devised a depth estimation and control system based on tractor controller area network (CAN) data, validated the CAN data accuracy, and built depth estimation models. The relative error between the CAN-derived forward speed and the measured speed was low at −1.21–2.21 %. Additionally, we built a model to estimate the measured value of the power take off speed from the CAN value with R2 = 0.99. The depth estimation model showed a strong correlation between hitch height and tillage/sowing depth (R = 0.99 and 0.86, respectively).

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• Agricultural Drone-Based Variable-Rate N Application for Regulating Wheat Protein Content

  Senlin Guan, Yumi Shimazaki, Kimiyasu Takahashi, Hitoshi Kato, Koichiro Fukami, Shuichi Watanabe

  Drones ( MDPI AG )  9 ( 4 ) 310 - 310   2025.04 [ Peer Review Accepted ]

  Type of publication: Research paper (scientific journal)

  　View Summary

  Implementing a variable-rate application (VRA) of fertilization based on real-time crop growth status reduces costs and enhances work efficiency. However, the technical challenges associated with obtaining accurate growth-distribution maps and applying VRA, particularly with agricultural drones, remain underexplored. In this study, we specifically focused on agricultural drone-based VRA fertilization for regulating wheat protein content. First, normalized difference vegetation index (NDVI) distribution maps were obtained using multispectral images captured using a small unmanned aerial vehicle. Subsequently, a prescription map based on the NDVI values was generated to facilitate the implementation of VRA for fertilization. Continuous monitoring of changes in related vegetation indices was conducted from post-topdressing to harvest. Experimental results indicated that selecting targeted experimental survey areas based on different growth conditions can result in accurate predictions of the final yield. However, it is sill ineffective for predicting protein content or protein yield. Additionally, VRA fertilization with less fertilizer in high-NDVI areas and more fertilizer in low-NDVI areas showed no significant difference in final protein content or protein yield compared to conventional uniform fertilization. These findings provide reference data for advancing precision agriculture by addressing field-scale variability for high-quality and uniform production while presenting further research challenges.

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Other Papers 【 display / non-display 】

Other Papers 【 display / non-display 】

• Development of Ridge-Forming Dry Direct Seeder for Rice

  深見公一郎

  農業食料工学会誌   87 ( 1 )   2025

   

  J-GLOBAL

• Automated Processing of Drone-based Remote Sensing for Safe and Reliable High-Performance Agricultural Drone

  GUAN Senlin, 高橋仁康, 深見公一郎, 伊東栄作, 渡邊修一, 中野恵子, 松尾直樹, 渕山律子

  農業環境工学関連学会合同大会講演要旨集(CD-ROM)   2023   2023

   

  J-GLOBAL

• Development of Utilization Technologies for Safe and Reliable High-Performance Agricultural Drone

  高橋仁康, GUAN Senlin, 深見公一郎, 伊東栄作, 渡邊修一, 岡崎泰裕, 中野恵子, 松尾直樹, 渕山律子, 野見山綾介

  農業環境工学関連学会合同大会講演要旨集(CD-ROM)   2023   2023

   

  J-GLOBAL

• Efforts to Evaluate Dispersion Characteristics for Safe and Reliable High-Performance Agricultural Drone

  深見公一郎, 高橋仁康, GUAN Senlin, 松尾直樹, 伊東栄作, 渡邊修一, 中野恵子, 渕山律子, 土屋史紀

  農業環境工学関連学会合同大会講演要旨集(CD-ROM)   2023   2023

   

  J-GLOBAL

• Effect of additional topdressing at late growth stage on wheat yield planted by using one-step shallow tillage planting method with up-cut rotary after soybean

  松尾直樹, 中野恵子, 深見公一郎, 高橋仁康

  日本作物学会講演会要旨集   256th   2023

   

  J-GLOBAL

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Academic Awards 【 display / non-display 】

Academic Awards 【 display / non-display 】

• ISMAB 2024・Best Presentation Award

  2024.09   International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering   Validation of DEM model for corn threshing through kernel distribution in the threshing chamber of a combine harvester for multicrops

Grant-in-Aid for Scientific Research 【 display / non-display 】

Grant-in-Aid for Scientific Research 【 display / non-display 】

• Grant-in-Aid for Scientific Research(C)

  Project Year: 2023.04  -  2026.03 

  Direct: 3,600,000 (YEN)  Overheads: 1,080,000 (YEN)  Total: 4,680,000 (YEN)

• Grant-in-Aid for Scientific Research(C)

  Project Year: 2018.04  -  2021.03 

  Direct: 3,300,000 (YEN)  Overheads: 990,000 (YEN)  Total: 4,290,000 (YEN)

• Grant-in-Aid for Scientific Research(C)

  Project Year: 2015.04  -  2019.03 

  Direct: 3,800,000 (YEN)  Overheads: 1,140,000 (YEN)  Total: 4,940,000 (YEN)

• Grant-in-Aid for Young Scientists(B)

  Project Year: 2013.04  -  2016.03 

  Direct: 2,900,000 (YEN)  Overheads: 870,000 (YEN)  Total: 3,770,000 (YEN)

SDGs 【 display / non-display 】

SDGs 【 display / non-display 】