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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Detalles Bibliográficos
Autor principal: Huang, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301198/
https://www.ncbi.nlm.nih.gov/pubmed/37375934
http://dx.doi.org/10.3390/plants12122309

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301198/
https://www.ncbi.nlm.nih.gov/pubmed/37375934
http://dx.doi.org/10.3390/plants12122309

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