Automatic Evaluation of Soybean Seed Traits Using RGB Image Data and a Python Algorithm

Soybean (Glycine max) is a crucial legume crop known for its nutritional value, as its seeds provide large amounts of plant protein and oil. To ensure maximum productivity in soybean farming, it is essential to carefully choose high-quality seeds that possess desirable characteristics, such as the a...

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Bibliographic Details
Published in:	Plants (Basel) Vol. 12; no. 17; p. 3078
Main Authors:	Ghimire, Amit, Kim, Seong-Hoon, Cho, Areum, Jang, Naeun, Ahn, Seonhwa, Islam, Mohammad Shafiqul, Mansoor, Sheikh, Chung, Yong Suk, Kim, Yoonha
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 28.08.2023 MDPI
Subjects:	Algorithms Applications programs Area Aspect ratio Botanical research color Communication computer software Confidence intervals Conformity Evaluation Genotypes Glycine max Image acquisition image analysis Images, Optical Legumes Machine learning Measurement methods Methods Morphology Nutritive value oils Physiological aspects Plant breeding plant proteins Python algorithm seed morphology seed number seed size Seeds Software Soybean Soybean industry Soybeans Standard error South Korea
ISSN:	2223-7747, 2223-7747
Online Access:	Get full text
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