Development of a smartphone-based device for nutritional diagnosis of apple trees

2021 Fiscal Year Final Research Report

• Project/Area Number: 19K06306
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 41040:Agricultural environmental engineering and agricultural information engineering-related
• Research Institution: Hirosaki University
• Principal Investigator: YE Xujun 弘前大学, 農学生命科学部, 准教授 (10708168)
• Co-Investigator(Kenkyū-buntansha): 張 樹槐 弘前大学, 農学生命科学部, 教授 (90261429)
• Project Period (FY): 2019-04-01 – 2022-03-31
• Keywords: リンゴ / 栄養診断 / スマートデバイス / 非破壊計測 / 画像処理

Outline of Final Research Achievements

In this study, we developed a simple device system with specific wavelength LED lights for nutrition diagnosis of apple trees. First, we identified multiple narrow-band wavelengths suitable for apple tree nutrition diagnosis by hyperspectral imaging, and then constructed an apple tree nutrition diagnosis model based on them. Next, we developed a new small-type and low-cost simple device with the selected specific wavelength LEDs for practical use and developed a software that works with the simple device. By integrating the device and the software, we finally developed a PC- and smartphone-based device system that can be easily applied to diagnosis of apple trees. If the implementation technology of this system is further established in the future, it can be potentially applied to apple tree nutrition diagnosis in practice.

Free Research Field

農学

Academic Significance and Societal Importance of the Research Achievements

実用化に向けたリンゴ樹の栄養診断法の再構築および、それを実装したハードウェアとソフトウェアの統合的開発により、スマートフォン連携型簡易デバイスシステムの技術開発に学術的意義がある。また開発したデバイスシステムを用いて、リンゴ園の精密管理の実現に資する栄養診断を行って、リンゴ園内における樹体毎のニーズに応じた施肥作業が可能となり、環境負荷の低減、樹体の生産持続性の向上および管理作業の省力化が図れる点で社会的意義が高い。