PREDICTING DISTRIBUTION OF FALLARMY WORM PEST USING CLIMATE CHANGES WITH MACHINE LEARNING ON INDIAN CROPS

This project aims to develop an AI-powered web application to assist farmers in making informed crop cultivationdecisions. By analyzing factors like crop type, cultivation time, and location, the application predicts crop success,assesses pest infestation risks (especially fall armyworms), and suggests alternative crops and optimal plantingtimes. With a user-friendly interface, it provides data-driven insights to enhance productivity and sustainability,empowering farmers while supporting India's agricultural sector and food security.