Validation of white oat yield estimation models using vegetation indices-Reference-Cited by-同舟云学术

Validation of white oat yield estimation models using vegetation indices

Published:2020-06 Issue:2 Volume:79 Page:236-241
ISSN:1678-4499
Container-title:Bragantia
language:
Short-container-title:Bragantia

Author:

Coelho Anderson Prates¹^ORCID,Faria Rogério Teixeira de¹^ORCID,Leal Fábio Tiraboschi¹^ORCID,Barbosa José de Arruda¹^ORCID,Rosalen David Luciano¹^ORCID

Affiliation:

1. Universidade Estadual Paulista “Júlio de Mesquita Filho”, Brazil

Publisher

FapUNIFESP (SciELO)

Subject

General Agricultural and Biological Sciences,Materials Science (miscellaneous)

Link

http://www.scielo.br/pdf/brag/v79n2/0006-8705-brag-1678-449920190387.pdf

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3. Forecasting crop yield using remotely sensed vegetation indice., and crop phenology metrics;Bolton D. K;Agricultura., and Forest Meteorology,2013

4. Vegetation indices in the prediction of biomas., and grain yield of white oat under irrigation levels;Coelho A. P;Pesquisa Agropecuária Tropical,2018

5. Acompanhamento da safra brasileira: grãos. Quinto Levantamento,2018

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