Article

Towards high throughput in-field detection and quantification of wheat foliar diseases with deep learning

2024-05-13

Abstract excerpt

1 Reliable, quantitative information on the presence and severity of crop diseases is critical for site-specific crop management and resistance breeding. Successful analysis of leaves under naturally variable lighting, presenting multiple disorders, and across phenological stages is a critical step towards high-throughput disease assessments directly in the field. Here, we present a dataset comprising 422 high res...

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Literature Corpus work: fa2c0cf7-69fb-5f92-a463-d429d12f523d
DOI: 10.1101/2024.05.10.593608

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