Empowering Smallholder Farmers with UAV-Based Early Cotton Disease Detection Using AI

Early detection of cotton diseases is critical for safeguarding crop yield and minimizing agrochemical usage. However, most state-of-the-art systems rely on multispectral or hyperspectral sensors, which are costly and inaccessible to smallholder farmers. This paper introduces CottoNet, a lightweight...

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Bibliographic Details
Main Authors: Halimjon Khujamatov, Shakhnoza Muksimova, Mirjamol Abdullaev, Jinsoo Cho, Cheolwon Lee, Heung-Seok Jeon
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Drones
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Online Access:https://www.mdpi.com/2504-446X/9/5/385
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