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

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...

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Bibliographic Details
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/
https://linkinghub.elsevier.com/retrieve/pii/S0168169923000091
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Institution: Universiti Putra Malaysia

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http://psasir.upm.edu.my/id/eprint/107716/
https://linkinghub.elsevier.com/retrieve/pii/S0168169923000091

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