Paper Key : IRJ************028
Author: Sanchita Gangawane,Ritika Chavan
Date Published: 01 Mar 2025
Abstract
The proposed research consists in applying machine learning approaches to the task of identifying plant diseases and species. Plants health is very important to food security and the overall production of crops hence there is need to identify plant diseases as early as possible. This study aims at applying machine learning algorithms identify to diseases identify on plant leaves. species Thus, and the model is trained on a dataset of different plant species and the diseases that affect them, with the aim of differentiating between healthy and diseased leaves. Several machine learning models such as Convolutional Neural Networks (CNNs) have been used in order to improve the efficiency of detection. The outcomes indicate how machine learning can help in identification making of quick, diseases automatic which and if correct treated in time can help in preventing crop damage and supporting the concept of sustainable agriculture.