Ensemble and single algorithm models to handle multicollinearity of UAV vegetation indices for predicting rice biomass
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...
| Main Authors: | Derraz, Radhwane, Muharam, Farrah Melissa, Nurulhuda, Khairudin, Ahmad Jaafar, Noraini, Keng Yap, Ng |
|---|---|
| Format: | Article |
| Published: |
Elsevier
2023
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/107716/ |
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