Ultra-Precision Agriculture Using Fluorescence Based Label Free Technology for Green Fruit

2022 Fiscal Year Annual Research Report

• Project/Area Number: 21F21397
• Allocation Type: Single-year Grants
• Research Institution: Kyoto University
• Host Researcher: 近藤 直 京都大学, 農学研究科, 教授 (20183353)
• Foreign Research Fellow: HUANG ZICHEN 京都大学, (連合)農学研究科(研究院), 外国人特別研究員
• Project Period (FY): 2021-11-18 – 2024-03-31
• Keywords: image / fluorescence / machine vision / grader

Outline of Annual Research Achievements

One of this research objectives is to manage each green pepper plant based on the images of a fruit grading system in order to reduce the large amount of fertilizers and chemicals in the conventional agriculture. If the images from the grading system were matched with images from fruit growth monitoring device in the field, we can know where the fruits came from in the field, which makes the precision agriculture and smart agriculture, because data of fruit quality and size are obtained from the grading system.
We developed a software to match the images acquired at grading system and in the field by using both color and fluorescent images and continued to improve its success rate for matching images.

Current Status of Research Progress

2: Research has progressed on the whole more than it was originally planned.

Reason

繰越申請をしたものの、ほぼ当該年度の
研究は終了し、延期された国際会議での発表を残すのみである。

Strategy for Future Research Activity

国際会議で発表を行い、色々な意見を元にして研究に役立てることとする。
さらに、ソフトウェアの改良を行うことによって画像のマッチングの成功率を向上させる。