Ensemble and single algorithm models to handle multicollinearity of UAV vegetation indices for predicting rice biomass

• Main Authors: Derraz, Radhwane, Muharam, Farrah Melissa, Nurulhuda, Khairudin, Ahmad Jaafar, Noraini, Keng Yap, Ng
• 格式: Article
• 出版: Elsevier 2023
• 在線閱讀: http://psasir.upm.edu.my/id/eprint/107716/; https://linkinghub.elsevier.com/retrieve/pii/S0168169923000091
• 機構: Universiti Putra Malaysia

Rice biomass is a biofuel’s source and yield indicator. Conventional sampling methods predict rice biomass accurately. However, these methods are destructive, time-consuming, expensive, and labour-intensive. Instead, unmanned aerial vehicles (UAVs) cover such shortcomings by providing rice-attribute...