AI Driven Crop Disease Prediction and System Management

Abstract

The Ai-Driven Crop Disease Prediction and Management System is a mobile application designed to help home
gardeners, hobbyists, and small-scale crop managers identify and manage the plant disease effectively. Built using
Flutter, the application allows users to capture or upload images of diseased plant leaves, which are analyzed using
advanced Artificial Intelligence(AI) and Machine Learning(ML) algorithms to diagnose the disease. The system
provides instant reports with disease details, causes, and tailored treatment recommendations, including medication,
natural remedies, and preventive measures. Additionally, the application detects the current temperature and soil
humidity, offering real-time insights into environmental conditions. It sends notifications when temperature or
humidity levels deviate from optimal ranges for specific plants, enabling users to take timely actions to maintain
plant health. Leveraging a specific dataset of plant images, the system ensures high accuracy in disease diagnosis
and promotes sustainable gardening practices by reducing the reliance on harmful chemicals. This AI-driven solution
empowers users to make informed decisions about plant care, contributing to healthier plants and more vibrant
gardens.