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Image-Based Crop Disease Detection System by Tanjilul Islam is a document available to read on EtoBox.
What is Image-Based Crop Disease Detection System about?
The project report outlines the development of PlantGuard, an automated system for detecting crop diseases using machine learning and a dataset of approximately 17,000 images. The primary objectives include improving the accuracy and speed of disease identification, reducing reliance on expert intervention, and enhancing agricultural management practices. The methodology involves data preprocessing, model training using convolutional neural networks, and evaluation based on various performance metrics to en
- Author
- Tanjilul Islam
- Language
- EN