Prediction of Oil Palm Yield Using Machine Learning in the Perspective of Fluctuating Weather and Soil Moisture Conditions: Evaluation of a Generic Workflow

Current development in precision agriculture has underscored the role of machine learning in crop yield prediction. Machine learning algorithms are capable of learning linear and nonlinear patterns in complex agro-meteorological data. However, the application of machine learning methods for predicti...

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Detalles Bibliográficos
Autores principales: Khan, Nuzhat, Kamaruddin, Mohamad Anuar, Ullah Sheikh, Usman, Zawawi, Mohd Hafiz, Yusup, Yusri, Bakht, Muhammed Paend, Mohamed Noor, Norazian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268852/
https://www.ncbi.nlm.nih.gov/pubmed/35807648
http://dx.doi.org/10.3390/plants11131697

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268852/
https://www.ncbi.nlm.nih.gov/pubmed/35807648
http://dx.doi.org/10.3390/plants11131697

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