Remote Monitoring of Wheat Streak Mosaic Progression Using Sub-Pixel Classification of Landsat 5 TM Imagery for Site Specific Disease Management in Winter Wheat

Journals Menu

Follow SCIRP

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

	Paper Publishing WeChat

Advances in Remote Sensing

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

Google-based Impact Factor: 1.94
Citations

Journals Menu

"Remote Monitoring of Wheat Streak Mosaic Progression Using Sub-Pixel Classification of Landsat 5 TM Imagery for Site Specific Disease Management in Winter Wheat"
written by Mustafa Mirik, R. James Ansley, Jacob A. Price, Fekede Workneh, Charles M. Rush,
published by Advances in Remote Sensing, Vol.2 No.1, 2013

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Design of Vegetation Index for Identifying the Mosaic Virus in Sugarcane Plantation: A Brazilian Case Study
	Agronomy, 2023

[2]	A COMPREHENSIVE STUDY OF ADVANCED TECHNIQUES FOR PLANT HEALTH MONITORING USING DEEP MACHINE LEARNING TECHNIQUES
	Journal of Advances in Management, 2023

[3]	DETECÇÃO DE PLANTAS DE CITROS E MURRAYA PANICULATA UTILIZANDO IMAGENS HIPERESPECTRAIS COMO SUBSÍDIO PARA O CONTROLE DE …
	2023

[4]	Characterization of Recently Planted Coffee Cultivars from Vegetation Indices Obtained by a Remotely Piloted Aircraft System
	Sustainability, 2022

[5]	Sensing and imaging of plant disease through the lens of science mapping
	Tropical Plant Pathology, 2022

[6]	Remote Sensing for Agricultural Applications
	Arid Environment …, 2022

[7]	Plant virus-ecology and epidemiology
	2022

[8]	The Combined Method to Improve Heat Transfer Coefficient on Heat Exchanger
	Heat Transfer, 2022

[9]	Progress in detecting and mapping crop diseases, with particular reference to maize using remote sensing
	CABI Reviews, 2021

[10]	Development of Late Blight Disease Monitoring System for Major Potato Growing Districts of Southern West Bengal using Multi-sensor Data
	2020

[11]	Research on extraction of spring maize planting area in Liaoning Province based on MODIS NDVI data.
	2020

[12]	A review: application of remote sensing as a promising strategy for insect pests and diseases management
	2020

[13]	A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades
	2020

[14]	Multispectral remote sensing in the identification and mapping of biotic and abiotic coffee tree variables
	2019

[15]	PLANT DISEASE DETECTION BY MEANS OF REMOTELY SENSED HYPERSPECTRAL LEAF REFLECTANCE DATA
	Fifteenth International Scientific Conference SPACE, ECOLOGY, SAFETY, 2019

[16]	Spectral and textural analysis of high resolution data for the automatic detection of grape vine diseases
	2019

[17]	Detecting symptoms of Phytophthora cinnamomi infection in Australian native vegetation using reflectance spectrometry: complex effects of water stress and species …
	2019

[18]	Global Dimensions of Plant Virus Diseases: Current Status and Future Perspectives
	2019

[19]	Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery
	2019

[20]	Detecting advanced stages of winter wheat yellow rust and aphid infection using RapidEye data in North China Plain
	2019

[21]	Sensoriamento remoto multiespectral na identificação e mapeamento das variáveis bióticas e abióticas do cafeeiro
	2019

[22]	Sensoriamento remoto multiespectral na identificação e mapeamento das variáveis bióticas e abióticas do cafeeiro1
	2019

[23]	ΑΡΙΣΤΟΤΕΛΕΙΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΘΕΣΣΑΛΟΝΙΚΗΣ ΣΧΟΛΗ ΓΕΩΠΟΝΙΑΣ, ΔΑΣΟΛΟΓΙΑΣ ΚΑΙ ΦΥΣΙΚΟΥ ΠΕΡΙΒΑΛΛΟΝΤΟΣ
	2018

[24]	Identification of purple spot disease on asparagus crops across spatial and spectral scales
	Computers and Electronics in Agriculture, 2018

[25]	Diagnostic Tools for Plant Biosecurity
	Practical Tools for Plant and Food Biosecurity, 2017

[26]	Relationships Between Early Wheat Streak Mosaic Severity Levels and Grain Yield: Implications for Management Decisions
	2017

[27]	Unmanned Aerial Vehicle (UAV)-based remote sensing to monitor grapevine leaf stripe disease within a vineyard affected by esca complex
	2016

[28]	Phenomic Approaches and Tools for Phytopathologists
	2016

[29]	Remote sensing bio-control damage on aquatic invasive alien plant species
	South African Journal of Geomatics, 2015

[30]	Precision agriculture: irrigation
	2014

[31]	Trends in plant virus epidemiology: opportunities from new or improved technologies
	Virus research, Elsevier, 2014

[32]	Advanced methods of plant disease detection. A review
	Agronomy for Sustainable Development, 2014

[33]	基于多源数据和决策树估算夏玉米种植面积
	中国农业气象, 2014

[34]	ΑΡΙΣΤΟΤΕΛΕΙΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΘΕΣΣΑΛΟΝΙΚΗΣ


[35]	Dr. Neeraj

[1]	Arid Environment - Perspectives, Challenges and Management 2023 DOI:10.5772/intechopen.106876

[2]	Design of Vegetation Index for Identifying the Mosaic Virus in Sugarcane Plantation: A Brazilian Case Study Agronomy, 2023 DOI:10.3390/agronomy13061542

[3]	Characterization of Recently Planted Coffee Cultivars from Vegetation Indices Obtained by a Remotely Piloted Aircraft System Sustainability, 2022 DOI:10.3390/su14031446

[4]	Natural Resources Conservation and Advances for Sustainability 2022 DOI:10.1016/B978-0-12-822976-7.00012-0

[5]	Characterization of Recently Planted Coffee Cultivars from Vegetation Indices Obtained by a Remotely Piloted Aircraft System Sustainability, 2022 DOI:10.3390/su14031446

[6]	Sensing and imaging of plant disease through the lens of science mapping Tropical Plant Pathology, 2022 DOI:10.1007/s40858-021-00478-6

[7]	Arid Environment - Perspectives, Challenges and Management [Working Title] 2022 DOI:10.5772/intechopen.106876

[8]	A review: application of remote sensing as a promising strategy for insect pests and diseases management Environmental Science and Pollution Research, 2020 DOI:10.1007/s11356-020-09517-2

[9]	A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades Remote Sensing, 2020 DOI:10.3390/rs12193188

[10]	A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades Remote Sensing, 2020 DOI:10.3390/rs12193188

[11]	Detecting advanced stages of winter wheat yellow rust and aphid infection using RapidEye data in North China Plain GIScience & Remote Sensing, 2019 DOI:10.1080/15481603.2019.1613804

[12]	Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery Remote Sensing, 2019 DOI:10.3390/rs11070846

[13]	Global Dimensions of Plant Virus Diseases: Current Status and Future Perspectives Annual Review of Virology, 2019 DOI:10.1146/annurev-virology-092818-015606

[14]	Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery Remote Sensing, 2019 DOI:10.3390/rs11070846

[15]	Detecting advanced stages of winter wheat yellow rust and aphid infection using RapidEye data in North China Plain GIScience & Remote Sensing, 2019 DOI:10.1080/15481603.2019.1613804

[16]	Sensoriamento remoto multiespectral na identificação e mapeamento das variáveis bióticas e abióticas do cafeeiro Revista Ceres, 2019 DOI:10.1590/0034-737x201966020009

[17]	Detecting symptoms of Phytophthora cinnamomi infection in Australian native vegetation using reflectance spectrometry: complex effects of water stress and species susceptibility Australasian Plant Pathology, 2019 DOI:10.1007/s13313-019-00642-2

[18]	Identification of purple spot disease on asparagus crops across spatial and spectral scales Computers and Electronics in Agriculture, 2018 DOI:10.1016/j.compag.2018.03.035

[19]	Identification of purple spot disease on asparagus crops across spatial and spectral scales Computers and Electronics in Agriculture, 2018 DOI:10.1016/j.compag.2018.03.035

[20]	Identification of purple spot disease on asparagus crops across spatial and spectral scales Computers and Electronics in Agriculture, 2018 DOI:10.1016/j.compag.2018.03.035

[21]	Identification of purple spot disease on asparagus crops across spatial and spectral scales Computers and Electronics in Agriculture, 2018 DOI:10.1016/j.compag.2018.03.035

[22]	Practical Tools for Plant and Food Biosecurity 2017 DOI:10.1007/978-3-319-46897-6_10

[23]	Relationships Between Early Wheat Streak Mosaic Severity Levels and Grain Yield: Implications for Management Decisions Plant Disease, 2017 DOI:10.1094/PDIS-02-17-0176-RE

[24]	Phenomic Approaches and Tools for Phytopathologists Phytopathology®, 2017 DOI:10.1094/PHYTO-02-16-0082-RVW

[25]	Advanced methods of plant disease detection. A review Agronomy for Sustainable Development, 2015 DOI:10.1007/s13593-014-0246-1

[26]	Comparative analysis of product-level fusion, support vector machine, and artificial neural network approaches for land cover mapping Arabian Journal of Geosciences, 2015 DOI:10.1007/s12517-015-1915-3

[27]	Trends in plant virus epidemiology: Opportunities from new or improved technologies Virus Research, 2014 DOI:10.1016/j.virusres.2013.11.003

Follow SCIRP

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

	Paper Publishing WeChat

Advances in Remote Sensing

Advances in Remote Sensing

Journals Menu

Home

About SCIRP

Service

Policies