Article

DAE-Mask: a novel deep-learning-based automatic detection model for in-field wheat diseases

2024-04-01

Abstract excerpt

Wheat diseases seriously restrict the safety of wheat production and food quality. For farmers and agriculture technicians, diagnosing the disease with the naked eye is not suitable for modern precision agriculture. Deep learning has shown promise in crop disease diagnosis, but accuracy and speed remain a significant challenge in natural field conditions. In this study, a novel DAE-Mask method based on diversifica...

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Literature Corpus work: 4a36da3e-27ee-5820-9a09-425ba71c98e6
DOI: 10.1007/s11119-023-10093-x

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