Cargando…
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...
Autores principales: | Ghimire, Amit, Kim, Seong-Hoon, Cho, Areum, Jang, Naeun, Ahn, Seonhwa, Islam, Mohammad Shafiqul, Mansoor, Sheikh, Chung, Yong Suk, Kim, Yoonha |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490075/ https://www.ncbi.nlm.nih.gov/pubmed/37687325 http://dx.doi.org/10.3390/plants12173078 |
Ejemplares similares
-
Molecular, genetic, and genomic basis of seed size and yield characteristics in soybean
por: Tayade, Rupesh, et al.
Publicado: (2023) -
Evaluating the Effectiveness of Calcium Silicate in Enhancing Soybean Growth and Yield
por: Attipoe, John Quarshie, et al.
Publicado: (2023) -
Evaluation of Soybean Wildfire Prediction via Hyperspectral Imaging
por: Lay, Liny, et al.
Publicado: (2023) -
Early Prediction of Soybean Traits through Color and Texture Features of Canopy RGB Imagery
por: Yuan, Wenan, et al.
Publicado: (2019) -
Investigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (Glycine max L.)
por: Tripathi, Pooja, et al.
Publicado: (2021)