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 Donis-Gonzalez
dc.contributor.authorKittisak Phetpan
dc.contributor.authorVasu Udompetaikul
dc.contributor.authorPanmanas Sirisomboon
dc.contributor.authorRattapong Suwalak
dc.date.accessioned2025-07-21T06:06:59Z
dc.date.issued2022-05-06
dc.identifier.doi10.1016/j.compag.2022.107019
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/11298
dc.subjectStepwise regression
dc.subject.classificationRemote Sensing in Agriculture
dc.titleMachine learning-based prediction of nutritional status in oil palm leaves using proximal multispectral images
dc.typeArticle

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