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

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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Bibliographic Details
Main Authors: Nuzhat Khan, Mohamad Anuar Kamaruddin, Usman Ullah Sheikh, Mohd Hafiz Zawawi, Yusri Yusup, Muhammed Paend Bakht, Norazian Mohamed Noor
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Plants
Subjects:
oil palm
crop yield
prediction
machine learning
precision agriculture
sustainability
Online Access:https://www.mdpi.com/2223-7747/11/13/1697

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