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What is Plant Disease Detection with ML Techniques about?

This summer internship report by Avinash A focuses on the application of machine learning techniques for plant disease detection, highlighting the challenges of traditional methods and the advantages of automated solutions. The report presents a model trained on the xPLNet dataset, achieving a test accuracy of 98.6%, and discusses the development of a user-friendly graphical interface for real-time disease identification. It emphasizes the importance of early detection in mitigating crop losses and enhancin

Author

aswinkabil

Language

EN