Prediction of oil palm yield using machine learning in the perspective of fluctuating weather and soil moisture conditions: evaluation of a generic workflow

• Main Authors: Khan, Nuzhat, Kamaruddin, Mohamad Anuar, Sheikh, Usman Ullah, Zawawi, Mohd. Hafiz, Yusup, Yusri, Bakht, Muhammed Paend, Mohamed Noor, Norazian
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/103648/1/UsmanUllahSheikh2022_PredictionofOilPalmYield.pdf; http://eprints.utm.my/103648/; http://dx.doi.org/10.3390/plants11131697

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...