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J. Imaging 2017, 3(4), 51; doi:10.3390/jimaging3040051

Nitrogen (N) Mineral Nutrition and Imaging Sensors for Determining N Status and Requirements of Maize

Faculty Crop, Soil and Environmental Science, University of Arkansas, Fayetteville, AR 72701, USA
Canadian Light Source Inc., University of Saskatchewan, Saskatoon, SK S7N 2V3, Canada
Currently Department of Crop Protection, Phytopathology Unit, Ecole Nationale d’Agriculture de Meknès, BP/S 40, Meknès 50001, Morocco
Author to whom correspondence should be addressed.
Received: 18 June 2017 / Revised: 8 November 2017 / Accepted: 9 November 2017 / Published: 14 November 2017
(This article belongs to the Special Issue Remote and Proximal Sensing Applications in Agriculture)
View Full-Text   |   Download PDF [237 KB, uploaded 14 November 2017]


Nitrogen (N) is one of the most limiting factors for maize (Zea mays L.) production worldwide. Over-fertilization of N may decrease yields and increase NO3 contamination of water. However, low N fertilization will decrease yields. The objective is to optimize the use of N fertilizers, to excel in yields and preserve the environment. The knowledge of factors affecting the mobility of N in the soil is crucial to determine ways to manage N in the field. Researchers developed several methods to use N efficiently relying on agronomic practices, the use of sensors and the analysis of digital images. These imaging sensors determine N requirements in plants based on changes in Leaf chlorophyll and polyphenolics contents, the Normalized Difference Vegetation Index (NDVI), and the Dark Green Color index (DGCI). Each method revealed limitations and the scope of future research is to draw N recommendations from the Dark Green Color Index (DGCI) technology. Results showed that more effort is needed to develop tools to benefit from DGCI. View Full-Text
Keywords: nitrogen; maize; maximum yield; sensors; NDVI; DGCI nitrogen; maize; maximum yield; sensors; NDVI; DGCI
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Rhezali, A.; Lahlali, R. Nitrogen (N) Mineral Nutrition and Imaging Sensors for Determining N Status and Requirements of Maize. J. Imaging 2017, 3, 51.

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