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Crop Disease Prediction with ML System by anshsjoshi07 is a document available to read on EtoBox.

This document summarizes a project that aims to build a machine learning model to accurately predict crop diseases from images. The proposed system, called the Integrated Crop Disease Detection and Management System (ICDDMS), would allow farmers to upload images of diseased crops and receive predictions of the disease/pest along with treatment recommendations. The system is intended to help farmers better manage crop diseases, reduce use of pesticides, and improve food security. It will use state-of-the-art

Author
anshsjoshi07
Language
EN