top of page
Vision Based Detection and Classification of Disease on Rice Crops Using CNN
Original price
₹7,000.00
Sale price
₹4,900.00
Crop Disease Detection Using Convolutional Neural Networks: An Innovative Approach towards Crop Protection
This project aims to leverage the power of Convolutional Neural Networks (CNNs) to develop an automated system for rice disease detection. CNNs have demonstrated remarkable success in various image recognition tasks, making them a promising tool for identifying visual patterns and anomalies. By training a CNN model on a vast dataset of annotated rice disease images, we can empower farmers and agricultural experts with a reliable and efficient tool for early disease detection.
Click Here to view related publication.
Quantity
Writing assistance includes:
- Plagirism free Research Paper
- Project Report with functionality
- Complete Thesis as per required template
- Free Delivery
- Enhanced Customer Support
bottom of page