Machine-learning approach using thermal and synthetic aperture radar data for classification of oil palm trees with basal stem rot disease

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Machine-learning approach using thermal and synthetic aperture radar data for classification of oil palm trees with basal stem rot disease

The fast growth of oil palm has resulted in its development as a strategic global commodity. Oil palm creates export revenues and strengthens the economies of numerous nations, especially Indonesia and Malaysia. However, oil palms are susceptible to basal stem rot (BSR) caused by Ganoderma bonin...

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Bibliographic Details
Main Author:	Che Hashim, Izrahayu
Format:	Thesis
Language:	English
Published:	2021
Subjects:	Oil palm - Technological innovations Machine learning Spatial data mining
Online Access:	http://psasir.upm.edu.my/id/eprint/103998/ http://psasir.upm.edu.my/id/eprint/103998/1/IZRAHAYU%20BINTI%20CHE%20HASHIM%20-%20IR.pdf

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