Determining the Best Optimum Time for Predicting Sugarcane Yield Using Hyper-Temporal Satellite Imagery

Advances in Remote Sensing

ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.net/journal/ars
E-mail: [email protected]

Citations

"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):

Google Scholar
CrossRef

[1]	Modelling Two Sugarcane Agro-Industrial Yields Using Sentinel/Landsat Time-Series Data and Their Spatial Validation at Different Scales in Costa Rica
	Montes, A Zabala, C Henríquez, P Serra - Remote Sensing, 2023

[2]	Retracted: Estimasi fase pertumbuhan dan produktivitas tebu menggunakan citra sentinel 2 di Kecamatan Dampit, Kabupaten Malang
	Jurnal Integrasi dan Harmoni …, 2023

[3]	Estimasi fase pertumbuhan dan produktivitas tebu menggunakan citra sentinel 2 di Kecamatan Dampit, Kabupaten Malang
	Jurnal Integrasi dan Harmoni …, 2022

[4]	A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops
	Remote Sensing …, 2022

[5]	Combined Use of Landsat 8 and Sentinel 2A Imagery for Improved Sugarcane Yield Estimation in Wonji-Shoa, Ethiopia
	Journal of the Indian Society of …, 2022

[6]	High-resolution data for mapping the spatio-temporal variability of sugarcane fields
	2021

[7]	Yield estimation of sugarcane (Saccharum officinarum) from photogrammetry with unmanned aerial vehicles (UAV)
	Montes, C Henríquez-Henríquez… - Agronomía …, 2021

[8]	Integration of RGB-based vegetation index, crop surface model and object-based image analysis approach for sugarcane yield estimation using unmanned aerial …
	2021

[9]	Estimación de rendimiento en el cultivo de caña de azúcar (Saccharum officinarum) a partir de fotogrametría con vehículos aéreos no tripulados (VANT)
	2021

[10]	Remote sensing applications in sugarcane cultivation: A review
	ard, C Atzberger, E Izquierdo-Verdiguier… - Remote sensing, 2021

[11]	Evaluation of Vegetation Indices for Sugarcane Yield Modeling with Emphasis on Growth Pattern Based on Satellite Imagery:(Case Study: Khouzestan Imam …
	2020

[12]	Sistema de monitoreo espacio-temporal del cultivo de ca?a de azúcar (Saccharum officinarum), a partir de información satelital, en Coopevictoria RL Grecia, Costa Rica
	Dissertation, 2020

[13]	Machine Learning Models to Estimate the Sugarcane Brix Values from Multitemporal Vegetation Indices
	2020

[14]	Remote Sensing for Sugarcane Crop Yield Estimation in Eswatini: Case of Lower Usuthu Smallholder Irrigation Project Sugarcane Farms
	2020

[15]	Sistema de monitoreo espacio-temporal del cultivo de caña de azúcar (Saccharum officinarum), a partir de información satelital, en Coopevictoria RL …
	2020

[16]	Sistema de monitoreo espacio-temporal del cultivo de caña de azúcar (Saccharum officinarum), a partir de información satelital, en Coopevictoria RL Grecia, Costa …
	2020

[17]	Sugarcane Yield Estimation Using LANDSAT Time-Series Imagery:(Case Study-MianAB Region in Khouzestan Province)
	2019

[18]	Evaluation of sum-NDVI values to estimate wheat grain yields using multi-temporal Landsat OLI data
	2019

[19]	ESTIMATIVA DA PRODUTIVIDADE DE CANA-DE-AÇÚCAR UTILIZANDO IMAGENS LANDSAT E RANDOM FOREST
	Anais do XIX Simpósio Brasileiro de Sensoriamento Remoto, 2019

[20]	Pre-harvest Sugarcane Yield Estimation Using UAV-Based RGB Images and Ground Observation
	Sugar Tech, 2018

[21]	CAMPUS DE CASCAVEL CENTRO DE CIÊNCIAS EXATAS E TECNOLÓGICAS PROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA AGRÍCOLA
	2017

[22]	Forecasting winter wheat yields using MODIS NDVI data for the Central Free State region
	2017

[23]	Development of Relationship between Remotely Sensed Data at Different Crop Growth Stages and Yield Monitor Data for Maize Crop
	Thesis, 2016

[24]	Análise do padrão sazonal de imagens de índice de vegetação do sensor modis para culturas agrícolas
	2016

[25]	When do I want to know and why? Different demands on sugarcane yield predictions
	Agricultural Systems, 2015

[1]	Proceedings of the 1st International Conference on University-Industry Collaborations for Sustainable Development Proceedings in Technology Transfer, 2024 DOI:10.1007/978-981-97-5944-6_39

[2]	Modelling Two Sugarcane Agro-Industrial Yields Using Sentinel/Landsat Time-Series Data and Their Spatial Validation at Different Scales in Costa Rica Remote Sensing, 2023 DOI:10.3390/rs15235476

[3]	Combined Use of Landsat 8 and Sentinel 2A Imagery for Improved Sugarcane Yield Estimation in Wonji-Shoa, Ethiopia Journal of the Indian Society of Remote Sensing, 2022 DOI:10.1007/s12524-021-01466-8

[4]	A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops Remote Sensing Applications: Society and Environment, 2022 DOI:10.1016/j.rsase.2022.100712

[5]	Integration of RGB-based vegetation index, crop surface model and object-based image analysis approach for sugarcane yield estimation using unmanned aerial vehicle Computers and Electronics in Agriculture, 2021 DOI:10.1016/j.compag.2020.105903

[6]	Remote Sensing Applications in Sugarcane Cultivation: A Review Remote Sensing, 2021 DOI:10.3390/rs13204040

[7]	Machine Learning Models to Estimate the Sugarcane Brix Values from Multitemporal Vegetation Indices 2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM), 2020 DOI:10.1109/ICCAKM46823.2020.9051545

[8]	Evaluation of sum-NDVI values to estimate wheat grain yields using multi-temporal Landsat OLI data Geocarto International, 2019 DOI:10.1080/10106049.2019.1641561

[9]	Pre-harvest Sugarcane Yield Estimation Using UAV-Based RGB Images and Ground Observation Sugar Tech, 2018 DOI:10.1007/s12355-018-0601-7

[10]	When do I want to know and why? Different demands on sugarcane yield predictions Agricultural Systems, 2015 DOI:10.1016/j.agsy.2014.11.008

	[email protected]
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Advances in Remote Sensing

Advances in Remote Sensing

Journals Menu

Guidelines & Policies

Home

About SCIRP

Service

Policies