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Article

Field Spectroscopy for Monitoring Nitrogen Fertilization and Estimating Cornstalk Nitrate Content in Maize

by
Jesús Val
1,
Iván González-Pérez
2,
Enoc Sanz-Ablanedo
2,
Ángel Maresma
1 and
José Ramón Rodríguez-Pérez
2,*
1
Research and Development Department, EuroChem Agro Iberia, S.L. C/Tànger, 98, 08018 Barcelona, Spain
2
Geomatics Engineering Research Group (GEOINCA), Universidad de León, Av. de Astorga, sn, 24401 Ponferrada-León, Spain
*
Author to whom correspondence should be addressed.
AgriEngineering 2025, 7(8), 264; https://doi.org/10.3390/agriengineering7080264 (registering DOI)
Submission received: 18 June 2025 / Revised: 5 August 2025 / Accepted: 12 August 2025 / Published: 14 August 2025

Abstract

Evaluating the response of maize crops to different nitrogen fertilization rates is essential to ensure their agronomic, environmental, and economic efficiency. In this study, the spectral information of maize plants subjected to five distinct nitrogen fertilization strategies was analyzed. The fertilization strategies were based on the practices commonly used in maize fields in the study area, with the aim of ensuring the research findings’ applicability. The spectral reflectance was measured using a spectroradiometer covering the 350–2500 nm range, and the results enabled the identification of optimal spectral regions for monitoring plants’ nitrogen status, particularly in the visible and infrared ranges. A Principal Component Analysis (PCA) of the reflectance data revealed the key wavelengths most sensitive to the nitrogen availability: 555 nm and 720 nm during the vegetative stage and 680 nm during the reproductive stage. This information will support the development of drone-mounted multispectral sensor systems for large-scale monitoring, as well as the design of low-cost sensors for early nitrogen deficiency detection. Furthermore, the study demonstrated the feasibility of estimating the cornstalk nitrate content based on direct reflectance measurements of maize stems. The prediction model showed satisfactory performance, with a coefficient of determination (R2) of 0.845 and a root mean square error of prediction (RMSECV) of 2035.3 ppm, indicating its strong potential for predicting the NO3–N concentrations in maize stems.
Keywords: field VIS-NIR-SWIR; corn nitrogen content; cornstalk NO3–N content field VIS-NIR-SWIR; corn nitrogen content; cornstalk NO3–N content

Share and Cite

MDPI and ACS Style

Val, J.; González-Pérez, I.; Sanz-Ablanedo, E.; Maresma, Á.; Rodríguez-Pérez, J.R. Field Spectroscopy for Monitoring Nitrogen Fertilization and Estimating Cornstalk Nitrate Content in Maize. AgriEngineering 2025, 7, 264. https://doi.org/10.3390/agriengineering7080264

AMA Style

Val J, González-Pérez I, Sanz-Ablanedo E, Maresma Á, Rodríguez-Pérez JR. Field Spectroscopy for Monitoring Nitrogen Fertilization and Estimating Cornstalk Nitrate Content in Maize. AgriEngineering. 2025; 7(8):264. https://doi.org/10.3390/agriengineering7080264

Chicago/Turabian Style

Val, Jesús, Iván González-Pérez, Enoc Sanz-Ablanedo, Ángel Maresma, and José Ramón Rodríguez-Pérez. 2025. "Field Spectroscopy for Monitoring Nitrogen Fertilization and Estimating Cornstalk Nitrate Content in Maize" AgriEngineering 7, no. 8: 264. https://doi.org/10.3390/agriengineering7080264

APA Style

Val, J., González-Pérez, I., Sanz-Ablanedo, E., Maresma, Á., & Rodríguez-Pérez, J. R. (2025). Field Spectroscopy for Monitoring Nitrogen Fertilization and Estimating Cornstalk Nitrate Content in Maize. AgriEngineering, 7(8), 264. https://doi.org/10.3390/agriengineering7080264

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