Plant Leaf Disease Detection Using Deep Learning
This project develops an intelligent tomato leaf disease detection system using Deep Learning and Convolutional Neural Networks (CNN). The model analyzes leaf images to accurately identify and classify various tomato diseases using the TensorFlow framework. By automating disease recognition, the system enables early diagnosis, reduces crop losses, and supports precision agriculture. It compares different CNN architectures to achieve high accuracy, faster training, and improved performance, providing an efficient solution for modern smart farming applications.
Project ID: 0695
Sub domains: Deep Learning
Domain: Python
Project Year: 2026
Keywords: Deep Learning Convolutional Neural Network (CNN) Tomato Leaf Disease Detection Image Processing TensorFlow Precision Agriculture.
Project Cost : ₹6500
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