Spectral Model for Soybean Yield Estimate Using MODIS/EVI Data

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

International Journal of Geosciences

ISSN Print: 2156-8359
ISSN Online: 2156-8367
www.scirp.org/journal/ijg
E-mail: ijg@scirp.org

Google-based Impact Factor: 0.56
Citations h5-index & Ranking

Journals Menu

"Spectral Model for Soybean Yield Estimate Using MODIS/EVI Data"
written by Anibal Gusso, Jorge Ricardo Ducati, Mauricio Roberto Veronez, Damien Arvor, Luiz Gonzaga da Silveira,
published by International Journal of Geosciences, Vol.4 No.9, 2013

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	SOYBEAN YIELD PREDICTION USING REMOTE SENSING IN SOUTHWESTERN PIAUÍ STATE, BRAZIL
	Revista …, 2022

[2]	ESTIMATIVA DA PRODUTIVIDADE DA SOJA POR SENSORIAMENTO REMOTO NA REGIÃO SUDOESTE DO PIAUÍ
	Revista …, 2022

[3]	Estimación mediante el Lai y análisis multivariado del rendimiento agrícola en arroz (Oryza Sativa l.)
	2022

[4]	Cotton Yield Estimation Using Phenological Metrics Derived from Long-Term MODIS Data
	Journal of the Indian Society of Remote …, 2021

[5]	19-year remotely sensed data in the forecast of spectral models of the environment
	2021

[6]	Desarrollo de un método de estimación de rendimiento de cultivos agrícolas utilizando imágenes satelitales ópticas en la provincia de Buenos Aires
	THESIS, 2020

[7]	A SPECTRAL AGROMETEOROLOGICAL MODEL FOR ESTIMATING SOYBEAN GRAIN PRODUCTIVITY IN MATO GROSSO, BRAZIL
	2020

[8]	Crop yield prediction in cotton for regional level using random forest approach
	2020

[9]	Identification of tillage for soybean crop by spectro-temporal variables, GEOBIA, and decision tree
	2020

[10]	Recent applications of the MODIS sensor for soybean crop monitoring and deforestation detection in Mato Grosso, Brazil
	2019

[11]	Recent applications of the MODIS sensor for soybean crop monitoring and deforestation detection in Mato Grosso, Brazil.
	2019

[12]	Coupling remote sensing with a water balance model for soybean yield predictions over large areas
	2019

[13]	Using phenology-based enhanced vegetation index and machine learning for soybean yield estimation in Paraná State, Brazil
	Journal of Applied Remote Sensing, 2018

[14]	Crop yield estimation using satellite images: comparison of linear and non-linear models
	2018

[15]	Advancing agricultural monitoring for improved yield estimations using SPOT-VGT and PROBA-V type remote sensing data
	2018

[16]	Estimación del rendimiento de cultivos usando imágenes satelitales: comparación de modelos lineales y no lineales
	2018

[17]	Model for soybean production forecast based on prevailing physical conditions
	2017

[18]	Modelo para previsão da produção de soja baseado em condições físicas predominantes
	2017

[19]	Testing the Contribution of Stress Factors to Improve Wheat and Maize Yield Estimations Derived from Remotely-Sensed Dry Matter Productivity
	Remote Sensing, 2016

[20]	Correlation maps to assess soybean yield from EVI data in Paraná State, Brazil
	2016

[21]	The Evaporative Stress Index as an indicator of agricultural drought in Brazil: An assessment based on crop yield impacts
	Remote Sensing of Environment, 2016

[22]	Relationships between the evaporative stress index and winter wheat and spring barley yield anomalies in the Czech Republic
	2016

[23]	Modelos simples para estimar rendimiento de cultivos agrícolas a partir de imágenes satelitales: una herramienta para la planificación
	2015

[24]	Surveillance phytosanitaire des cultures de pommes de terre à l'aide de la télédétection par aéronef sans pilote
	2015

[25]	Monitoring Heat Waves and Their Impacts on Summer Crop Development in Southern Brazil
	Agricultural Sciences, 2014

[26]	使用多時期 MODIS 影像與 ENVISAT ASAR 合成孔徑雷達影像進行越南湄公河三角洲區域之稻米產量估測
	2014

[1]	A data-driven crop model for maize yield prediction Communications Biology, 2023 DOI:10.1038/s42003-023-04833-y

[2]	SOYBEAN YIELD PREDICTION USING REMOTE SENSING IN SOUTHWESTERN PIAUÍ STATE, BRAZIL Revista Caatinga, 2022 DOI:10.1590/1983-21252022v35n111rc

[3]	19-year remotely sensed data in the forecast of spectral models of the environment International Journal of Digital Earth, 2021 DOI:10.1080/17538947.2021.1923841

[4]	Cotton Yield Estimation Using Phenological Metrics Derived from Long-Term MODIS Data Journal of the Indian Society of Remote Sensing, 2021 DOI:10.1007/s12524-021-01414-6

[5]	A SPECTRAL AGROMETEOROLOGICAL MODEL FOR ESTIMATING SOYBEAN GRAIN PRODUCTIVITY IN MATO GROSSO, BRAZIL Engenharia Agrícola, 2020 DOI:10.1590/1809-4430-eng.agric.v40n3p405-412/2020

[6]	Crop yield prediction in cotton for regional level using random forest approach Spatial Information Research, 2020 DOI:10.1007/s41324-020-00346-6

[7]	Coupling remote sensing with a water balance model for soybean yield predictions over large areas Earth Science Informatics, 2019 DOI:10.1007/s12145-019-00424-w

[8]	Using phenology-based enhanced vegetation index and machine learning for soybean yield estimation in Paraná State, Brazil Journal of Applied Remote Sensing, 2018 DOI:10.1117/1.JRS.12.026029

[9]	Model for soybean production forecast based on prevailing physical conditions Pesquisa Agropecuária Brasileira, 2017 DOI:10.1590/s0100-204x2017000200003

[10]	Correlation maps to assess soybean yield from EVI data in Paraná State, Brazil Scientia Agricola, 2016 DOI:10.1590/0103-9016-2015-0215

[11]	The Evaporative Stress Index as an indicator of agricultural drought in Brazil: An assessment based on crop yield impacts Remote Sensing of Environment, 2016 DOI:10.1016/j.rse.2015.11.034

[12]	Testing the Contribution of Stress Factors to Improve Wheat and Maize Yield Estimations Derived from Remotely-Sensed Dry Matter Productivity Remote Sensing, 2016 DOI:10.3390/rs8030170

[13]	Relationships between the evaporative stress index and winter wheat and spring barley yield anomalies in the Czech Republic Climate Research, 2016 DOI:10.3354/cr01411

[14]	Monitoring Heat Waves and Their Impacts on Summer Crop Development in Southern Brazil Agricultural Sciences, 2014 DOI:10.4236/as.2014.54037

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

International Journal of Geosciences

International Journal of Geosciences

Journals Menu

Home

About SCIRP

Service

Policies