A Hybrid Approach to Tea Crop Yield Prediction Using Simulation Models and Machine Learning
Tea (<i>Camellia sinensis</i> L.) is one of the most highly consumed beverages globally after water. Several countries import large quantities of tea from other countries to meet domestic needs. Therefore, accurate and timely prediction of tea yield is critical. The previous studies used statistical...
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| Autori principali: | , , , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2022-07-01
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| Serie: | Plants |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2223-7747/11/15/1925 |
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