Prediction of tea leaf characteristics using spectral data and machine learning techniques
Tea production is significantly impacted by abiotic and biotic stresses, necessitating early detection and diagnosis for effective management strategies. Tea leaf characteristics, like relative leaf water (RWC), leaf chlorophyll (LCC), and sugar contents, are significantly impacted by diseases and p...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Geocarto International |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2025.2542949 |
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