Development of evaluation method of agricultural field information using drone images by a new measurement technology

2019 Fiscal Year Final Research Report

• Project/Area Number: 16K07979
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Agricultural environmental engineering/Agricultural information engineering
• Research Institution: National Agriculture and Food Research Organization
• Principal Investigator: INOUE Satoshi 国立研究開発法人農業・食品産業技術総合研究機構, 北海道農業研究センター, 上級研究員 (20354011)
• Co-Investigator(Kenkyū-buntansha): 松村 寛一郎 東京農業大学, 生物産業学部, 教授 (10333551) ; 奥村 健治 国立研究開発法人農業・食品産業技術総合研究機構, 畜産研究部門, 研究領域長 (60414760) ; 佐藤 広子 国立研究開発法人農業・食品産業技術総合研究機構, 北海道農業研究センター, 上級研究員 (50391363)
• Project Period (FY): 2016-10-21 – 2020-03-31
• Keywords: ドローン / 気象条件

Outline of Final Research Achievements

The multispectral forward scattering of light observation by polarized filter in the previous research is based on the spectroradiometer, and it is suitable for observation of spot-like forward scattered light, and it is an excellent method because it does not require exposure setting. The method of polarized image capturing used in this study, it was expected that wide-area information could be obtained, but the limitations of current imaging equipment such as overexposure control were confirmed.
In addition, it was found that the image acquisition was greatly restricted by the meteorological conditions at the time of shooting. Therefore, we developed a program that calculates the constraints of weather conditions for image acquisition, and registered the employee invention program.

Free Research Field

農業気象

Academic Significance and Societal Importance of the Research Achievements

イネ科牧草とマメ科牧草の混播牧草地の評価のため、偏光情報を利用した画像解析を提案した。その技術開発には至らなかったが、画像取得には気象条件の制約が大きいことを確認したため、その画像取得率の計算プログラムを開発した。画像取得計画の策定への利用を期待できる。