Wheat Leaf Rust is a devastating disease affecting the crops of millions of African farmers. Detecting such plant diseases early can save tonnes of agricultural produce every year. This would benefit not only the general population by reducing hunger, but also the farmers by ensuring they get the harvest they deserve. My awesome friends Rohan Rajpal , Tejas Oberoi and I worked on this problem and competed in the ICLR Workshop Challenge 1: CGIAR Computer Vision for Crop Disease 2020. We stood 39th among 847 participating teams and our model achieved a competitive log-loss of 0.265.

To address this challenge…

Nirav Diwan

Blogs on my work in Applied ML

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