The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2022
Session ID : 1P1-A05
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Basic research for sugar content estimation of tomato using deep learning
*Zhaohui TANMasanori SATOHiroki ISOKANETeppei SHIBATA
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Abstract

In this paper, we report on a basic study on sugar content prediction using deep learning for a tomato. The results of sugar content prediction using YOLOv3 and YOLOv5, one of the popular algorithm of object recognition, show that YOLOv5 has lower computational load and higher detection accuracy than YOLOv3.

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© 2022 The Japan Society of Mechanical Engineers
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