Trend Analysis of Small Scale Commercial Sugarcane Production in Post Resettlement Areas of Mkwasine Zimbabwe, Using Hyper-Temporal Satellite Imagery

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ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.org/journal/ars
E-mail: ars@scirp.org

"Trend Analysis of Small Scale Commercial Sugarcane Production in Post Resettlement Areas of Mkwasine Zimbabwe, Using Hyper-Temporal Satellite Imagery"
written by Shingirirai Mutanga, Abel Ramoelo, Tichatonga Gonah,
published by Advances in Remote Sensing, Vol.2 No.1, 2013

has been cited by the following article(s):

[1]	Trend Analysis in Sugarcane Growth in Mumias Sugar Belt, Western Kenya; for the Period 1985-2015
	2021

[2]	Evaluation of the Appropriateness of the Current Sugarcane Out-grower Support Programs towards Improving Yields in the Lowveld of Zimbabwe
	2020

[3]	Uso de séries temporais de imagens landsat para mapeamento e estimativa da produtividade de cana-de-açúcar a partir do algoritmo random forest
	2019

[4]	Gender, Poverty and Inequality in the Aftermath of Zimbabwe's Land Reform: A Transformative Social Policy Perspective
	2018

[5]	Sugarcane ratoon discrimination using LANDSAT NDVI temporal data
	Spatial Information Research, 2018

[6]	Beyond trend analysis: How a modified breakpoint analysis enhances knowledge of agricultural production after Zimbabwe's fast track land reform
	International Journal of Applied Earth Observation and Geoinformation, 2017

[7]	An integrated approach for modeling the electricity value of a sugarcane production system
	Applied Energy, 2016

[8]	Can South Africa's Sugar Industry Contribute to Clean Energy Supply?
	2015

[9]	Can South Africa's sugar industry contribute to clean energy supply?: lessons from best practices in cogeneration
	2015

[10]	Can South Africa's Sugar Industry Contribute to Clean Energy Supply? Lessons from Best Practices in Cogeneration
	2015

[1]	Trend Analysis in Sugarcane Growth in Mumias Sugar Belt, Western Kenya; for the Period 1985-2015 INTERDISCIPLINARY JOURNAL OF RURAL AND COMMUNITY STUDIES, 2021 DOI:10.51986/ijrcs-2021.vol3.01.04

[2]	Ensemble machine learning methods for spatio-temporal data analysis of plant and ratoon sugarcane Intelligent Data Analysis, 2021 DOI:10.3233/IDA-205302

[3]	Sugarcane ratoon discrimination using LANDSAT NDVI temporal data Spatial Information Research, 2018 DOI:10.1007/s41324-018-0184-0

[4]	An integrated approach for modeling the electricity value of a sugarcane production system Applied Energy, 2016 DOI:10.1016/j.apenergy.2016.05.131

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