Wheat Stripe Rust Grading by Deep Learning With Attention Mechanism and Images From Mobile Devices.

ABSTRACT: Wheat stripe rust is one of the main wheat diseases worldwide, which has significantly adverse effects on wheat yield and quality, posing serious threats on food security. Disease severity grading plays a paramount role in stripe rust disease management including breeding disease-resistant wheat varieties. Manual inspection is time-consuming, labor-intensive and prone to human errors, therefore, there is a clearly urgent need to develop more effective and efficient disease grading strategy by using automated approaches. However, the differences between wheat leaves of different levels of stripe rust infection are usually tiny and subtle, and, as a result, ordinary deep learning networks fail to achieve satisfying performance. By formulating this challenge as a fine-grained image classifica

SUBMITTER: Mi Z 

PROVIDER: S-EPMC7509068 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature