Near Real Time Monitoring of Potato Late Blight Disease Severity using Field Based Hyperspectral Observation

Field spectroscopic study was performed using a hand-held Field Spectroradiometer to examine spectral variability between healthy and late blight disease infected potato canopy. The purpose was to select a suitable spectral feature in the visible-near infrared region for late blight disease initiati...

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Autores principales:	Ramprasad Kundu, Dibyendu Dutta, Manoj Kumar Nanda, Abhisek Chakrabarty
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Potato Late Blight Field Spectro-radiometer Spectral Variable Disease Severity Agriculture (General) S1-972 Agricultural industries HD9000-9495
Acceso en línea:	https://doaj.org/article/8d1e518b31504b909e10bf6b9c8d3577
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spelling	oai:doaj.org-article:8d1e518b31504b909e10bf6b9c8d35772021-11-18T04:54:19ZNear Real Time Monitoring of Potato Late Blight Disease Severity using Field Based Hyperspectral Observation2772-375510.1016/j.atech.2021.100019https://doaj.org/article/8d1e518b31504b909e10bf6b9c8d35772021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2772375521000198https://doaj.org/toc/2772-3755Field spectroscopic study was performed using a hand-held Field Spectroradiometer to examine spectral variability between healthy and late blight disease infected potato canopy. The purpose was to select a suitable spectral feature in the visible-near infrared region for late blight disease initiation and severity during winter season. The spectral regions at which significant differences in bio-optical response was observed between healthy and diseased canopy include, 680-730nm (47.84%), 750-900nm (76.14%) and 860-1040nm (68.60%). Correlation study was carried out among different spectral variables, sensitive to PLB disease, and field measured PLB disease severity. Out of all the spectral variables, Red-Edge Normalised Difference Vegetation Index (NDVI705) and Disease Water Stress Index (DWSI) showed significant negative correlation (0.87 and 0.84 at 95% confidence level) and capable to predict the different level of potato late blight disease severity. A remote sensing based novel disease severity method was developed from the above mentioned spectral variables using multi-linear regression model and validated with very high correlation (R2 = 0.883). The scoring method developed could be a good proximal indicator for real-time field monitoring of potato late blight disease.Ramprasad KunduDibyendu DuttaManoj Kumar NandaAbhisek ChakrabartyElsevierarticlePotato Late BlightField Spectro-radiometerSpectral VariableDisease SeverityAgriculture (General)S1-972Agricultural industriesHD9000-9495ENSmart Agricultural Technology, Vol 1, Iss , Pp 100019- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Potato Late Blight Field Spectro-radiometer Spectral Variable Disease Severity Agriculture (General) S1-972 Agricultural industries HD9000-9495
spellingShingle	Potato Late Blight Field Spectro-radiometer Spectral Variable Disease Severity Agriculture (General) S1-972 Agricultural industries HD9000-9495 Ramprasad Kundu Dibyendu Dutta Manoj Kumar Nanda Abhisek Chakrabarty Near Real Time Monitoring of Potato Late Blight Disease Severity using Field Based Hyperspectral Observation
description	Field spectroscopic study was performed using a hand-held Field Spectroradiometer to examine spectral variability between healthy and late blight disease infected potato canopy. The purpose was to select a suitable spectral feature in the visible-near infrared region for late blight disease initiation and severity during winter season. The spectral regions at which significant differences in bio-optical response was observed between healthy and diseased canopy include, 680-730nm (47.84%), 750-900nm (76.14%) and 860-1040nm (68.60%). Correlation study was carried out among different spectral variables, sensitive to PLB disease, and field measured PLB disease severity. Out of all the spectral variables, Red-Edge Normalised Difference Vegetation Index (NDVI705) and Disease Water Stress Index (DWSI) showed significant negative correlation (0.87 and 0.84 at 95% confidence level) and capable to predict the different level of potato late blight disease severity. A remote sensing based novel disease severity method was developed from the above mentioned spectral variables using multi-linear regression model and validated with very high correlation (R2 = 0.883). The scoring method developed could be a good proximal indicator for real-time field monitoring of potato late blight disease.
format	article
author	Ramprasad Kundu Dibyendu Dutta Manoj Kumar Nanda Abhisek Chakrabarty
author_facet	Ramprasad Kundu Dibyendu Dutta Manoj Kumar Nanda Abhisek Chakrabarty
author_sort	Ramprasad Kundu
title	Near Real Time Monitoring of Potato Late Blight Disease Severity using Field Based Hyperspectral Observation
title_short	Near Real Time Monitoring of Potato Late Blight Disease Severity using Field Based Hyperspectral Observation
title_full	Near Real Time Monitoring of Potato Late Blight Disease Severity using Field Based Hyperspectral Observation
title_fullStr	Near Real Time Monitoring of Potato Late Blight Disease Severity using Field Based Hyperspectral Observation
title_full_unstemmed	Near Real Time Monitoring of Potato Late Blight Disease Severity using Field Based Hyperspectral Observation
title_sort	near real time monitoring of potato late blight disease severity using field based hyperspectral observation
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/8d1e518b31504b909e10bf6b9c8d3577
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Near Real Time Monitoring of Potato Late Blight Disease Severity using Field Based Hyperspectral Observation

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