Spectral and foliar analysis using multiple machine learning classifiers for mature oil palm treated with nitrogen fertilizer

In assessing the leaf biochemical properties, spectral analysis has been explored as the non-invasive alternative to destructive leaf analysis. This study aims to develop spectral-based classification models to estimate oil palm’s chlorophyll (chl) and nutrient status via machine learning (ML). In t...

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Bibliographic Details
Main Author: Amirruddin, Amiratul Diyana
Format: Thesis
Language:English
Published: 2021
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Online Access:http://psasir.upm.edu.my/id/eprint/98770/1/FP%202021%2057%20-%20IR.pdf
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