Mukhlesur Rahman

Canola yield prediction and genotype selection using uncrewed aerial system multispectral imagery and machine learning models

Evaluation and selection of canola breeding lines across multiple years and locations are vital for variety development. However, accurately measuring canola ( Brassica napus L.) yield under field conditions is challenging due to end‐of‐season events such as rain, windstorms, and hail, as well as variability in p...