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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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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