Paper Key : IRJ************024
Author: Samadhan Sunil Chavan,Rakesh Tukaram Shinde,Rohit Namdev Shewale,Krishna S Ahire
Date Published: 05 Apr 2025
Abstract
In India, agriculture contributes 17% of the GDP. Plants can develop a variety of illnesses, including rot, bacterial wilt, blight, and more. Some of these illnesses are invisible to the naked eye. Serious economic repercussions from the vast range of diseases include production losses and market decreases.Implementing machine learning techniques, convolutional neural networks, image processing, and deep learning models for plant disease detection can be highly advantages as it lowers a significant amount of monitoring work in large crop farms and can identify disease symptoms at an early stage. Studies based on several methods of plant disease detection are covered in this suggested system.Keywords: Image Processing, Disease, Convolutional Neural Network, Fertilizer suggestion
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