Plant Disease Prediction and Farmers Assistance Using Machine Learning

Plant Disease Prediction and Farmers Assistance Using Machine Learning

Dr. M SENGALIAPPAN

Head of Department, Department of Computer Applications, Nehru College of Management, Coimbatore, Tamilnadu, India.

MADHAV S

Student ,II MCA, Department of Computer Applications, Nehru College of Management, Coimbatore ,Tamilnadu, India.

Abstract
Agriculture plays a crucial role in sustaining economies and food security worldwide. In the context of Digital India, leveraging technology for farming can significantly enhance efficiency and productivity. This paper presents a comprehensive agricultural application designed to assist farmers in multiple domains. The platform offers features such as plant and disease management, enabling early detection and mitigation of crop diseases to minimize economic losses. Additionally, a marketplace facilitates the buying and selling of farming equipment and tools, ensuring fair pricing and easy accessibility. Agent involvement ensures the seamless management of agricultural machinery, allowing direct communication for bookings and service ratings. Administrative functionalities provide real-time agricultural news and updates through notifications, keeping stakeholders informed. Furthermore, a reporting and feedback system allows users to report technical issues and provide insights for system improvements. By integrating these functionalities, the proposed platform enhances agricultural efficiency, streamlines equipment access, and promotes informed decision-making among farmers.

Keywords : Plant Disease Detection,CNN