Advances in Remote Sensing

Advances in Remote Sensing

ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.org/journal/ars
E-mail: ars@scirp.org
"Determining the Best Optimum Time for Predicting Sugarcane Yield Using Hyper-Temporal Satellite Imagery"
written by Shingirirai Mutanga, Chris van Schoor, Phindile Lukhele Olorunju, Tichatonga Gonah, Abel Ramoelo,
published by Advances in Remote Sensing, Vol.2 No.3, 2013
has been cited by the following article(s):
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ard, C Atzberger, E Izquierdo-Verdiguier… - Remote sensing, 2021
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[12] Sistema de monitoreo espacio-temporal del cultivo de caña de azúcar (Saccharum officinarum), a partir de información satelital, en Coopevictoria RL …
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[14] Evaluation of sum-NDVI values to estimate wheat grain yields using multi-temporal Landsat OLI data
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[15] ESTIMATIVA DA PRODUTIVIDADE DE CANA-DE-AÇÚCAR UTILIZANDO IMAGENS LANDSAT E RANDOM FOREST
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[16] Pre-harvest Sugarcane Yield Estimation Using UAV-Based RGB Images and Ground Observation
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[17] CAMPUS DE CASCAVEL CENTRO DE CIÊNCIAS EXATAS E TECNOLÓGICAS PROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA AGRÍCOLA
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[18] Forecasting winter wheat yields using MODIS NDVI data for the Central Free State region
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[19] Development of Relationship between Remotely Sensed Data at Different Crop Growth Stages and Yield Monitor Data for Maize Crop
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[20] Análise do padrão sazonal de imagens de índice de vegetação do sensor modis para culturas agrícolas
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[21] When do I want to know and why? Different demands on sugarcane yield predictions
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