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Our cutting-edge platform enhances agricultural productivity and sustainability by providing farmers with rapid and precise crop disease diagnosis. Utilizing advanced Convolutional Neural Network (CNN) algorithms, the system enables farmers to upload images of affected crops and receive instant expert insights. This AI-powered solution ensures timely interventions while also connecting farmers with a network of agricultural specialists and scientists who offer customized guidance on pest control, crop rotation, and other vital farming practices. By automating image analysis, CNNs mitigate the errors associated with traditional manual methods, ultimately reducing crop losses and enhancing overall crop health.

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Plant Disease Detection Using CNNs

  • 会议论文

  • 发表日期：

    2026年

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  • Shamsundar Bhimade,
  • Onkar Kadam,
  • Rushikesh Mhamane,
  • Surekha Kolekar,
  • Sachin Misal

摘要

Our cutting-edge platform enhances agricultural productivity and sustainability by providing farmers with rapid and precise crop disease diagnosis. Utilizing advanced Convolutional Neural Network (CNN) algorithms, the system enables farmers to upload images of affected crops and receive instant expert insights. This AI-powered solution ensures timely interventions while also connecting farmers with a network of agricultural specialists and scientists who offer customized guidance on pest control, crop rotation, and other vital farming practices. By automating image analysis, CNNs mitigate the errors associated with traditional manual methods, ultimately reducing crop losses and enhancing overall crop health.