Quantitative assessment of soil chemical properties using visible (VIS) and near-infrared (NIR) proximal hyperspectral data

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dc.contributor.authorKadupitiya, H.K., Horticultural Crops Research and Development Institute, 11, Peradeniya, Sri Lanka
dc.contributor.authorSahoo, R.N., Indian Agriculture Research Institute, New Delhi, India
dc.contributor.authorRay, S.S., Space Application Centre, Ahmadabad, India
dc.contributor.authorChopra, U.K., Indian Agriculture Research Institute, New Delhi, India
dc.contributor.authorChakraborty, D., Indian Agriculture Research Institute, New Delhi, India
dc.contributor.authorAhmed, N., Indian Agriculture Research Institute, New Delhi, India
dc.date.accessioned2026-10-03T21:22:11Z
dc.identifier.citationTropical Agriculturist, 158:p.41-60
dc.identifier.urihttps://viduketha.nsf.gov.lk/handle/123456789/21093
dc.language.isoEnglish
dc.publisherDepartment of Agriculture:Peradeniya
dc.subjectAgriculture
dc.subjectSoil properties
dc.subjectQuantitative assessment
dc.subjectSoil chemistry
dc.subjectHyperspectral data
dc.subjectSoil nutrients
dc.subjectPrediction
dc.subjectStepwise regression
dc.titleQuantitative assessment of soil chemical properties using visible (VIS) and near-infrared (NIR) proximal hyperspectral data
dc.typeArticle

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