Improved SVM-Based Soil-Moisture-Content Prediction Model for Tea Plantation
Accurate prediction of soil moisture content in tea plantations plays a crucial role in optimizing irrigation practices and improving crop productivity. Traditional methods for SMC prediction are difficult to implement due to high costs and labor requirements. While machine learning models have been...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Plants |
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| Online Access: | https://www.mdpi.com/2223-7747/12/12/2309 |