Peter J Balint-Kurti

This paper uses aerial imagery and deep learning to estimate maize foliar disease severity, achieving results comparable to expert visual assessments.

This study investigates how interactions between soil microbes and abiotic factors influence heterosis in maize, finding that microbial effects are context-dependent and abiotic factors may be a larger driver.

The paper characterizes a maize near-isogenic line population to identify introgressions and map disease resistance QTL, revealing allelic variation in traits.