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

ABSTRACT: 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 appropriate size, shape, color, and absence of any damage. By studying the relationship between seed shape and other traits, we can effectively identify different genotypes and improve breeding strategies to develop high-yielding soybean seeds. This study focused on the analysis of seed traits using a Python algorithm. The seed length, width, projected area, and aspect ratio were measured, and the total number of seeds was calculated. The OpenCV library along with the contour detection fun

SUBMITTER: Ghimire A 

PROVIDER: S-EPMC10490075 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature