Bruno Daniel Pugliese

This paper uses high-resolution satellite imagery and machine learning to map Red Crown Rot in soybean fields, achieving high accuracy in detecting affected canopies.

This paper develops and validates methods to assess red crown rot severity in soybean using root imaging and visual scales, improving accuracy and agreement across environments.