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About Crop - Diagnosis - System
This document summarizes a project report on developing a crop diagnosis system using deep learning models. The report includes an introduction on the importance of early detection of crop diseases. It then reviews past research techniques on crop yield prediction and disease detection using smart agriculture. Various deep learning models like CNN, Inception, and MobileNet are discussed for feature extraction and classification. The methodology section describes the dataset, experimental setup, and performance metrics used for model evaluation. The implementation details preprocessing steps, model parameters, and system requirements. Test results showing high accuracy are presented along with discussions on limitations and scope for future work.
Detailed Information
| Author: | ['Santosh Kumar'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 53 |
| Language: | English |
| Format: | |
| Price: | FREE |
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