Machine learning-based prediction of nutritional status in oil palm leaves using proximal multispectral images

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dc.contributor.authorThatchapol Chungcharoen
dc.contributor.authorIrwin R. Donis-González
dc.contributor.authorKittisak Phetpan
dc.contributor.authorVasu Udompetaikul
dc.contributor.authorPanmanas Sirisomboon
dc.contributor.authorRattapong Suwalak
dc.date.accessioned2026-05-08T19:14:37Z
dc.date.issued2022-5-6
dc.identifier.doi10.1016/j.compag.2022.107019
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/14633
dc.publisherComputers and Electronics in Agriculture
dc.subjectRemote Sensing in Agriculture
dc.subjectSpectroscopy and Chemometric Analyses
dc.subjectLeaf Properties and Growth Measurement
dc.titleMachine learning-based prediction of nutritional status in oil palm leaves using proximal multispectral images
dc.typeArticle

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