Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1121648
Title: A machine learning framework to predict nutrient content in valencia-orange leaf hyperspectral measurements.
Authors: OSCO, L. P.
RAMOS, A. P. M.
PINHEIRO, M. M. F.
MORIYA, E. A. S.
IMAI, N. N.
ESTRABIS, N.
IANCZYK, F.
ARAÚJO, F. F.
LIESENBERG, V.
JORGE, L. A. de C.
LI, J.
MA, L.
GONÇALVES, W. N.
MARCATO JUNIOR, J.
CRESTE, J. E.
Affiliation: LUCIO ANDRE DE CASTRO JORGE, CNPDIA.
Date Issued: 2020
Citation: Remote Sensing, n. 12, v. 6, a. 906, 2020.
Pages: 1 - 21
Keywords: Proximal sensor
Macronutrient
Micronutrient
DOI: 10.3390/rs12060906
Type of Material: Artigo de periódico
Access: openAccess
Appears in Collections:Artigo em periódico indexado (CNPDIA)

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