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Open AccessArticle
Field Spectroscopy for Monitoring Nitrogen Fertilization and Estimating Cornstalk Nitrate Content in Maize
by
Jesús Val
Jesús Val 1,
Iván González-Pérez
Iván González-Pérez 2
,
Enoc Sanz-Ablanedo
Enoc Sanz-Ablanedo 2
,
Ángel Maresma
Ángel Maresma 1 and
José Ramón Rodríguez-Pérez
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.
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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