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Pearl Millet Leaf Disease Detection AI by trma2741 is a document available to read on EtoBox.

What is Pearl Millet Leaf Disease Detection AI about?

The document presents a study on a deep learning-based system for detecting leaf diseases in pearl millet, specifically targeting blast and rust diseases. Utilizing models such as VGG-16, Mobile Net V1, and Mobile Net V2, the proposed system achieved high accuracy rates, with Mobile Net V2 reaching 99.81%. The research emphasizes the importance of accurate disease identification to enhance agricultural productivity and reduce the impact of these diseases on crop yield.

Author

trma2741

Language

EN