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Oil Palm Yield Prediction Across Blocks Using Multi-Source Data and Machine Learning
August 2022 • Yuhao Ang, Helmi Zulhaidi Mohd Shafri, Yang Ping Lee, Shahrul Azman Bakar, Haryati Abidin, Mohd Umar Ubaydah Mohd Junaidi, Shaiful Jahari Hashim, Nik…
Abstract Predicting yields on a bigger scale in a timely and accurate manner is essential for preventing climate risk and ensuring food security, particularly in the light of climate change and the escalation of extreme climatic events. Furthermore, crop yield estimates are affected by various factors including weather, nutrients and management practices. In this study, integrating multi-source data (i.e. satellite-derived vegetation indices (VIs), satellite-derived climatic variables (i.e. land surface temperatur…
Support Vector Machine
Random Forest
Environmental Science
Feature Selection
Performance Indicator
Machine Learning
Mathematics
Computer Science
Statistics
Engineering
Operations Management