Crop Disease Prediction
A web-based crop disease prediction system that detects tomato plant diseases such as Early Blight, Late Blight, and other infections using image analysis and machine learning.
The Crop Disease Prediction System is a web-based application developed using HTML, CSS, Bootstrap, and Django that helps farmers detect tomato plant diseases quickly and accurately. The system uses image-based analysis and machine learning algorithms to identify common tomato diseases and provide early diagnosis.
This platform can detect multiple tomato leaf diseases including:
🍅 Early Blight
🍅 Late Bligh
🍅 Yellow Leaf Curl Virus
🍅 Healthy Leaf Detection
By uploading an image of a tomato leaf, users can instantly receive predictions about the disease along with recommended preventive measures. Early detection helps reduce crop loss, improve yield quality, and support sustainable farming practices.
The system is designed with a responsive interface using Bootstrap for accessibility on desktop and mobile devices, while Django manages backend processing and prediction logic.