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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Vydáno v:	Plants (Basel) Ročník 12; číslo 17; s. 3078
Hlavní autoři:	Ghimire, Amit, Kim, Seong-Hoon, Cho, Areum, Jang, Naeun, Ahn, Seonhwa, Islam, Mohammad Shafiqul, Mansoor, Sheikh, Chung, Yong Suk, Kim, Yoonha
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 28.08.2023 MDPI
Témata:	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
On-line přístup:	Získat plný text
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