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

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 y...

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Main Authors: Abdelaziz Rhezali, Rachid Lahlali
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Journal of Imaging
Subjects:
Online Access:https://www.mdpi.com/2313-433X/3/4/51
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spelling doaj-e76d174113634e27812153381f1000d12020-11-24T21:15:23ZengMDPI AGJournal of Imaging2313-433X2017-11-01345110.3390/jimaging3040051jimaging3040051Nitrogen (N) Mineral Nutrition and Imaging Sensors for Determining N Status and Requirements of MaizeAbdelaziz Rhezali0Rachid Lahlali1Faculty Crop, Soil and Environmental Science, University of Arkansas, Fayetteville, AR 72701, USACanadian Light Source Inc., University of Saskatchewan, Saskatoon, SK S7N 2V3, CanadaNitrogen (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.https://www.mdpi.com/2313-433X/3/4/51nitrogenmaizemaximum yieldsensorsNDVIDGCI
collection DOAJ
language English
format Article
sources DOAJ
author Abdelaziz Rhezali
Rachid Lahlali
spellingShingle Abdelaziz Rhezali
Rachid Lahlali
Nitrogen (N) Mineral Nutrition and Imaging Sensors for Determining N Status and Requirements of Maize
Journal of Imaging
nitrogen
maize
maximum yield
sensors
NDVI
DGCI
author_facet Abdelaziz Rhezali
Rachid Lahlali
author_sort Abdelaziz Rhezali
title Nitrogen (N) Mineral Nutrition and Imaging Sensors for Determining N Status and Requirements of Maize
title_short Nitrogen (N) Mineral Nutrition and Imaging Sensors for Determining N Status and Requirements of Maize
title_full Nitrogen (N) Mineral Nutrition and Imaging Sensors for Determining N Status and Requirements of Maize
title_fullStr Nitrogen (N) Mineral Nutrition and Imaging Sensors for Determining N Status and Requirements of Maize
title_full_unstemmed Nitrogen (N) Mineral Nutrition and Imaging Sensors for Determining N Status and Requirements of Maize
title_sort nitrogen (n) mineral nutrition and imaging sensors for determining n status and requirements of maize
publisher MDPI AG
series Journal of Imaging
issn 2313-433X
publishDate 2017-11-01
description 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.
topic nitrogen
maize
maximum yield
sensors
NDVI
DGCI
url https://www.mdpi.com/2313-433X/3/4/51
work_keys_str_mv AT abdelazizrhezali nitrogennmineralnutritionandimagingsensorsfordeterminingnstatusandrequirementsofmaize
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