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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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 AT rachidlahlali nitrogennmineralnutritionandimagingsensorsfordeterminingnstatusandrequirementsofmaize |
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1716745465049907200 |