Agro Care

Abstract

Agriculture is the backbone of many economies and a crucial source of livelihood for millions. However, crop production is often threatened by various plant diseases that can lead to significant losses in yield and quality. Early detection and accurate diagnosis of these diseases are essential for effective crop management and sustainable farming practices.AgroCare is an AI-powered web application developed to assist in the automatic detection of plant diseases using deep learning techniques, particularly Convolutional Neural Networks (CNN). The system enables users to upload images of plant leaves, which are then analyzed by a trained CNN model to identify the presence and type of disease. Once diagnosed, AgroCare also provides suggestions for appropriate treatments or supplements to help manage the disease effectively.Built using Python, Flask, and deep learning frameworks like PyTorch or TensorFlow, AgroCare offers a fast, accurate, and user-friendly solution for farmers and agricultural professionals. By automating the disease detection process, AgroCare aims to support smarter agricultural practices, reduce reliance on manual inspection, and improve crop health through timely intervention.