Investigation on the Capability of GreenSeeker Sensor in Predicting Nitrogen Status and Fractional Vegetation Cover of Spinach Crop

Fractional vegetation cover (FVC) and normalized difference vegetation index (NDVI) are the most important indicators of greenness and have a strong correlation with green biomass. The objective of this study was to evaluate a hand-held GreesnSeeker (GS) active remote sensing instrument to estimate...

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Autores principales: M Hashemi Jozani, H Bagherpour, J Hamzei
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Publicado: Ferdowsi University of Mashhad 2022
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Acceso en línea:https://doaj.org/article/6769bf17e0e14798b3472351576b3b04
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spelling oai:doaj.org-article:6769bf17e0e14798b3472351576b3b042021-11-29T06:32:46ZInvestigation on the Capability of GreenSeeker Sensor in Predicting Nitrogen Status and Fractional Vegetation Cover of Spinach Crop2228-68292423-394310.22067/jam.2021.68387.1013https://doaj.org/article/6769bf17e0e14798b3472351576b3b042022-03-01T00:00:00Zhttps://jame.um.ac.ir/article_40125_75d09b626de84c485f96896d0ac3227e.pdfhttps://doaj.org/toc/2228-6829https://doaj.org/toc/2423-3943Fractional vegetation cover (FVC) and normalized difference vegetation index (NDVI) are the most important indicators of greenness and have a strong correlation with green biomass. The objective of this study was to evaluate a hand-held GreesnSeeker (GS) active remote sensing instrument to estimate NDVI and FVC in the spinach plant. In this study, the color indices of the G-B index and Excess Green (ExG) were used as color vegetation indices to discriminate leaves from soil background. During 28 to 44 days after emergence (DAG), the results showed good correlations between chlorophyll yield and NDVI (R = 0.61 to 0.91), and the correlation between NDVI of GS and biomass was significant. In addition, in this growth stage, the results showed a good coefficient of correlation between NDVI of GS and FVC (R = 0.67 to 0.82). In assessing the nitrogen rate on the NDVI of GS, the results showed significant differences only at the short period of growth stage (28 to 36 DAG). The results revealed that GreenSeeker performed well for estimation both chlorophyll and biomass yield of spinach crop and it could be used as a suitable instrument for estimation of leaf area index in the middle of the plant growth period.M Hashemi JozaniH BagherpourJ HamzeiFerdowsi University of Mashhadarticlecanopychlorophylloptical sensorsegmentationAgriculture (General)S1-972Engineering (General). Civil engineering (General)TA1-2040ENFAJournal of Agricultural Machinery, Vol 12, Iss 1, Pp 95-106 (2022)
institution DOAJ
collection DOAJ
language EN
FA
topic canopy
chlorophyll
optical sensor
segmentation
Agriculture (General)
S1-972
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle canopy
chlorophyll
optical sensor
segmentation
Agriculture (General)
S1-972
Engineering (General). Civil engineering (General)
TA1-2040
M Hashemi Jozani
H Bagherpour
J Hamzei
Investigation on the Capability of GreenSeeker Sensor in Predicting Nitrogen Status and Fractional Vegetation Cover of Spinach Crop
description Fractional vegetation cover (FVC) and normalized difference vegetation index (NDVI) are the most important indicators of greenness and have a strong correlation with green biomass. The objective of this study was to evaluate a hand-held GreesnSeeker (GS) active remote sensing instrument to estimate NDVI and FVC in the spinach plant. In this study, the color indices of the G-B index and Excess Green (ExG) were used as color vegetation indices to discriminate leaves from soil background. During 28 to 44 days after emergence (DAG), the results showed good correlations between chlorophyll yield and NDVI (R = 0.61 to 0.91), and the correlation between NDVI of GS and biomass was significant. In addition, in this growth stage, the results showed a good coefficient of correlation between NDVI of GS and FVC (R = 0.67 to 0.82). In assessing the nitrogen rate on the NDVI of GS, the results showed significant differences only at the short period of growth stage (28 to 36 DAG). The results revealed that GreenSeeker performed well for estimation both chlorophyll and biomass yield of spinach crop and it could be used as a suitable instrument for estimation of leaf area index in the middle of the plant growth period.
format article
author M Hashemi Jozani
H Bagherpour
J Hamzei
author_facet M Hashemi Jozani
H Bagherpour
J Hamzei
author_sort M Hashemi Jozani
title Investigation on the Capability of GreenSeeker Sensor in Predicting Nitrogen Status and Fractional Vegetation Cover of Spinach Crop
title_short Investigation on the Capability of GreenSeeker Sensor in Predicting Nitrogen Status and Fractional Vegetation Cover of Spinach Crop
title_full Investigation on the Capability of GreenSeeker Sensor in Predicting Nitrogen Status and Fractional Vegetation Cover of Spinach Crop
title_fullStr Investigation on the Capability of GreenSeeker Sensor in Predicting Nitrogen Status and Fractional Vegetation Cover of Spinach Crop
title_full_unstemmed Investigation on the Capability of GreenSeeker Sensor in Predicting Nitrogen Status and Fractional Vegetation Cover of Spinach Crop
title_sort investigation on the capability of greenseeker sensor in predicting nitrogen status and fractional vegetation cover of spinach crop
publisher Ferdowsi University of Mashhad
publishDate 2022
url https://doaj.org/article/6769bf17e0e14798b3472351576b3b04
work_keys_str_mv AT mhashemijozani investigationonthecapabilityofgreenseekersensorinpredictingnitrogenstatusandfractionalvegetationcoverofspinachcrop
AT hbagherpour investigationonthecapabilityofgreenseekersensorinpredictingnitrogenstatusandfractionalvegetationcoverofspinachcrop
AT jhamzei investigationonthecapabilityofgreenseekersensorinpredictingnitrogenstatusandfractionalvegetationcoverofspinachcrop
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