Estimation of soybean yield parameters under lodging conditions using RGB information from unmanned aerial vehicles.

ABSTRACT: The estimation of yield parameters based on early data is helpful for agricultural policymakers and food security. Developments in unmanned aerial vehicle (UAV) platforms and sensor technology help to estimate yields efficiency. Previous studies have been based on less cultivars (<10) and ideal experimental environments, it is not available in practical production. Therefore, the objective of this study was to estimate the yield parameters of soybean (Glycine max (L.) Merr.) under lodging conditions using RGB information. In this study, 17 time point data throughout the soybean growing season in Nanchang, Jiangxi Province, China, were collected, and the vegetation index, texture information, canopy cover, and crop height were obtained by UAV-image processing. After that, partial least squa

SUBMITTER: Bai D 

PROVIDER: S-EPMC9795850 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature