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About Real-time Human Tracking Using Multi-features Visual With CNN-LSTM and Q-Learning
This research proposes machine and deep learning techniques for weed identification and classification to enhance crop quality and control weeds. It evaluates various machine learning and deep learning models on two datasets, achieving up to 99.5% accuracy for weed detection and classification.
Detailed Information
| Author: | ['EDARA KEERTHI LAHARI'] |
|---|---|
| Publication Year: | 2024 |
| Pages: | 15 |
| Language: | English |
| Format: | |
| Price: | FREE |
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