Assessing Performance of Vegetation Indices to Estimate Nitrogen Nutrition Index in Pepper
Vegetation indices (VIs) can be useful tools to evaluate crop nitrogen (N) status. To be effective, VIs measurements must be related to crop N status. The nitrogen nutrition index (NNI) is a widely accepted parameter of crop N status. The present work evaluates the performance of several VIs to esti...
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MDPI AG
2020-02-01
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Online Access: | https://www.mdpi.com/2072-4292/12/5/763 |
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author | Romina de Souza M. Teresa Peña-Fleitas Rodney B. Thompson Marisa Gallardo Francisco M. Padilla |
author_facet | Romina de Souza M. Teresa Peña-Fleitas Rodney B. Thompson Marisa Gallardo Francisco M. Padilla |
author_sort | Romina de Souza |
collection | DOAJ |
description | Vegetation indices (VIs) can be useful tools to evaluate crop nitrogen (N) status. To be effective, VIs measurements must be related to crop N status. The nitrogen nutrition index (NNI) is a widely accepted parameter of crop N status. The present work evaluates the performance of several VIs to estimate NNI in sweet pepper (<i>Capsicum annuum</i>). The performance of VIs to estimate NNI was evaluated using parameters of linear regression analysis conducted for calibration and validation. Three different sweet pepper crops were grown with combined irrigation and fertigation, in Almería, Spain. In each crop, five different N concentrations in the nutrient solution were frequently applied by drip irrigation. Proximal crop reflectance was measured with Crop Circle ACS470 and GreenSeeker handheld sensors, approximately every ten days, throughout the crops. The relative performance of VIs differed between phenological stages. Relationships of VIs with NNI were strongest in the early fruit growth and flowering stages, and less strong in the vegetative and harvest stages. The green band-based VIs, GNDVI, and GVI, provided the best results for estimating crop NNI in sweet pepper, for individual phenological stages. GNDVI had the best performance in the vegetative, flowering, and harvest stages, and GVI had the best performance in the early fruit growth stage. Some of the VIs evaluated are promising tools to estimate crop N status in sweet pepper and have the potential to contribute to improving crop N management of sweet pepper crops. |
first_indexed | 2024-04-11T18:46:04Z |
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institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-04-11T18:46:04Z |
publishDate | 2020-02-01 |
publisher | MDPI AG |
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series | Remote Sensing |
spelling | doaj.art-303b67f43de74caf8ec4254b62a8e2572022-12-22T04:08:49ZengMDPI AGRemote Sensing2072-42922020-02-0112576310.3390/rs12050763rs12050763Assessing Performance of Vegetation Indices to Estimate Nitrogen Nutrition Index in PepperRomina de Souza0M. Teresa Peña-Fleitas1Rodney B. Thompson2Marisa Gallardo3Francisco M. Padilla4Department of Agronomy, University of Almeria, Carretera de Sacramento s/n, 04120 La Cañada, Almería, SpainDepartment of Agronomy, University of Almeria, Carretera de Sacramento s/n, 04120 La Cañada, Almería, SpainDepartment of Agronomy, University of Almeria, Carretera de Sacramento s/n, 04120 La Cañada, Almería, SpainDepartment of Agronomy, University of Almeria, Carretera de Sacramento s/n, 04120 La Cañada, Almería, SpainDepartment of Agronomy, University of Almeria, Carretera de Sacramento s/n, 04120 La Cañada, Almería, SpainVegetation indices (VIs) can be useful tools to evaluate crop nitrogen (N) status. To be effective, VIs measurements must be related to crop N status. The nitrogen nutrition index (NNI) is a widely accepted parameter of crop N status. The present work evaluates the performance of several VIs to estimate NNI in sweet pepper (<i>Capsicum annuum</i>). The performance of VIs to estimate NNI was evaluated using parameters of linear regression analysis conducted for calibration and validation. Three different sweet pepper crops were grown with combined irrigation and fertigation, in Almería, Spain. In each crop, five different N concentrations in the nutrient solution were frequently applied by drip irrigation. Proximal crop reflectance was measured with Crop Circle ACS470 and GreenSeeker handheld sensors, approximately every ten days, throughout the crops. The relative performance of VIs differed between phenological stages. Relationships of VIs with NNI were strongest in the early fruit growth and flowering stages, and less strong in the vegetative and harvest stages. The green band-based VIs, GNDVI, and GVI, provided the best results for estimating crop NNI in sweet pepper, for individual phenological stages. GNDVI had the best performance in the vegetative, flowering, and harvest stages, and GVI had the best performance in the early fruit growth stage. Some of the VIs evaluated are promising tools to estimate crop N status in sweet pepper and have the potential to contribute to improving crop N management of sweet pepper crops.https://www.mdpi.com/2072-4292/12/5/763canopy reflectancecrop n status<i>capsicum annuum</i>proximal optical sensors |
spellingShingle | Romina de Souza M. Teresa Peña-Fleitas Rodney B. Thompson Marisa Gallardo Francisco M. Padilla Assessing Performance of Vegetation Indices to Estimate Nitrogen Nutrition Index in Pepper Remote Sensing canopy reflectance crop n status <i>capsicum annuum</i> proximal optical sensors |
title | Assessing Performance of Vegetation Indices to Estimate Nitrogen Nutrition Index in Pepper |
title_full | Assessing Performance of Vegetation Indices to Estimate Nitrogen Nutrition Index in Pepper |
title_fullStr | Assessing Performance of Vegetation Indices to Estimate Nitrogen Nutrition Index in Pepper |
title_full_unstemmed | Assessing Performance of Vegetation Indices to Estimate Nitrogen Nutrition Index in Pepper |
title_short | Assessing Performance of Vegetation Indices to Estimate Nitrogen Nutrition Index in Pepper |
title_sort | assessing performance of vegetation indices to estimate nitrogen nutrition index in pepper |
topic | canopy reflectance crop n status <i>capsicum annuum</i> proximal optical sensors |
url | https://www.mdpi.com/2072-4292/12/5/763 |
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