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Enter Our Global Challenge of Crop Disease Diagnosis!

We would like to welcome all participients worldwide to enter our Global Challenge of Crop Disease Diagnosis!

As part of the upcoming conference,

The third conference of Monitoring, Early Warning, and Scientific Management of Vegetation Pests and Diseases

we have published an exciting UAV hyper-spectral dataset that we hope will spur innovation in developing machine learning solutions to crop disease diagnosis, providing global impact in ensuring food production

Anyone can enter the challenge, which is focused on the accurate diagnosis of Yellow Rust Disease

The benchmark model is based on our published paper,

A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images

We are looking forward to your submissions and the top 5 winning methods will be published in Remote Sensing Special issue of “Monitoring, Early Warning, and Scientific Management of Vegetation Pests and Diseases”

To Enter, or for more information please see the following link:

Please help us provide innovative solutions to global food

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