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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| Format: | Article |
| Language: | English |
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Ferdowsi University of Mashhad
2022-03-01
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| Series: | Journal of Agricultural Machinery |
| Subjects: | |
| Online Access: | https://jame.um.ac.ir/article_40125_75d09b626de84c485f96896d0ac3227e.pdf |
| _version_ | 1819013531343781888 |
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| author | M Hashemi Jozani H Bagherpour J Hamzei |
| author_facet | M Hashemi Jozani H Bagherpour J Hamzei |
| author_sort | M Hashemi Jozani |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-21T02:01:26Z |
| format | Article |
| id | doaj.art-6769bf17e0e14798b3472351576b3b04 |
| institution | Directory Open Access Journal |
| issn | 2228-6829 2423-3943 |
| language | English |
| last_indexed | 2024-12-21T02:01:26Z |
| publishDate | 2022-03-01 |
| publisher | Ferdowsi University of Mashhad |
| record_format | Article |
| series | Journal of Agricultural Machinery |
| spelling | doaj.art-6769bf17e0e14798b3472351576b3b042022-12-21T19:19:38ZengFerdowsi University of MashhadJournal of Agricultural Machinery2228-68292423-39432022-03-011219510610.22067/jam.2021.68387.101340125Investigation on the Capability of GreenSeeker Sensor in Predicting Nitrogen Status and Fractional Vegetation Cover of Spinach CropM Hashemi Jozani0H Bagherpour1J Hamzei2MSc graduated student, Department of Biosystems Engineering, Bu-Ali Sina University, Hamedan, IranDepartment of Biosystems Engineering, Bu-Ali Sina University, Hamedan, IranDepartment of Agronomy and Plant Breeding, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, IranFractional 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.https://jame.um.ac.ir/article_40125_75d09b626de84c485f96896d0ac3227e.pdfcanopychlorophylloptical sensorsegmentation |
| spellingShingle | 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 Journal of Agricultural Machinery canopy chlorophyll optical sensor segmentation |
| title | 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_short | 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 |
| topic | canopy chlorophyll optical sensor segmentation |
| url | https://jame.um.ac.ir/article_40125_75d09b626de84c485f96896d0ac3227e.pdf |
| work_keys_str_mv | AT mhashemijozani investigationonthecapabilityofgreenseekersensorinpredictingnitrogenstatusandfractionalvegetationcoverofspinachcrop AT hbagherpour investigationonthecapabilityofgreenseekersensorinpredictingnitrogenstatusandfractionalvegetationcoverofspinachcrop AT jhamzei investigationonthecapabilityofgreenseekersensorinpredictingnitrogenstatusandfractionalvegetationcoverofspinachcrop |