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Article

Assessing Performance of Vegetation Indices to Estimate Nitrogen Nutrition Index in Pepper

1
Department of Agronomy, University of Almeria, Carretera de Sacramento s/n, 04120 La Cañada, Almería, Spain
2
CIAIMBITAL Research Centre for Mediterranean Intensive Agrosystems and Agrifood Biotechnology, University of Almeria, 04120 La Cañada, Almería, Spain
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(5), 763; https://doi.org/10.3390/rs12050763
Received: 30 January 2020 / Revised: 24 February 2020 / Accepted: 25 February 2020 / Published: 26 February 2020
(This article belongs to the Special Issue Remote Sensing for Precision Nitrogen Management)
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 (Capsicum annuum). 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. View Full-Text
Keywords: canopy reflectance; crop N status; Capsicum annuum; proximal optical sensors canopy reflectance; crop N status; Capsicum annuum; proximal optical sensors
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MDPI and ACS Style

de Souza, R.; Peña-Fleitas, M.T.; Thompson, R.B.; Gallardo, M.; Padilla, F.M. Assessing Performance of Vegetation Indices to Estimate Nitrogen Nutrition Index in Pepper. Remote Sens. 2020, 12, 763. https://doi.org/10.3390/rs12050763

AMA Style

de Souza R, Peña-Fleitas MT, Thompson RB, Gallardo M, Padilla FM. Assessing Performance of Vegetation Indices to Estimate Nitrogen Nutrition Index in Pepper. Remote Sensing. 2020; 12(5):763. https://doi.org/10.3390/rs12050763

Chicago/Turabian Style

de Souza, Romina, M. T. Peña-Fleitas, Rodney B. Thompson, Marisa Gallardo, and Francisco M. Padilla 2020. "Assessing Performance of Vegetation Indices to Estimate Nitrogen Nutrition Index in Pepper" Remote Sensing 12, no. 5: 763. https://doi.org/10.3390/rs12050763

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