An Automatic Tomato Growth Analysis System Using YOLO Transfer Learning-Reference-Cited by-同舟云学术

An Automatic Tomato Growth Analysis System Using YOLO Transfer Learning

Published:2023-06-06 Issue:12 Volume:13 Page:6880
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Fukada Keita¹,Hara Kataru¹,Cai Jingyong¹,Teruya Daichi¹,Shimizu Ikuko²,Kuriyama Takatsugu³,Koga Katsumi³,Sakamoto Kosuke⁴,Nakamura Yoshiyuki⁴,Nakajo Hironori²^ORCID

Affiliation:

1. Department of Computer and Information Sciences, The Tokyo University of Agriculture and Technology, Tokyo 1848588, Japan

2. Division of Advanced Information Technology and Computer Science, The Tokyo University of Agriculture and Technology, Tokyo 1848588, Japan

3. SenSprout Inc., Tokyo 1050013, Japan

4. Tokyo Metropolitan Agriculture and Forestry Research Center, Tokyo 1900013, Japan

Abstract

In recent years, Japan’s agricultural industry has faced a number of challenges, including a decline in production due to a decrease in farmland area, a shortage of labor due to a decrease in the number of producers, and an aging population. Therefore, in recent years, smart agriculture using robots and IoT has been studied. A caliper is often used to analyze the growth of tomatoes in a plant factory, but this method may damage the stems and is also hard on the measurer. We developed a system that detects them through image analysis and measures the thickness of stems and the length between flower clusters and growing points. The camera device developed in this study costs about USD 150 and once installed, it does not need to be moved unless it malfunctions. The camera device reduces the effort required to analyze crop growth by about 80%.

Funder

Tokyo Metropolitan Industrial Technology Research Institute

Industrial Technology Development Organization (NEDO) and JSPS KAKENHI

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

https://www.mdpi.com/2076-3417/13/12/6880/pdf

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