Agricultural Management Options for Climate Variability and Change: Sensor-Based, Variable-Rate Nitrogen Management

Nitrogen fertilizer cost represents about 10%–15% of total farm costs for corn, cotton, and wheat in the Southeastern United States. The efficiency of nitrogen use can be highly variable for producers, so a sensor-based, variable-rate nitrogen application (SVNA) system has been developed for irrigat...

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Main Authors: Wesley Porter, Ahmad Khalilian, Daniel Dourte, Clyde Fraisse
Format: Article
Language:English
Published: The University of Florida George A. Smathers Libraries 2012-07-01
Series:EDIS
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Online Access:https://journals.flvc.org/edis/article/view/119969
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author Wesley Porter
Ahmad Khalilian
Daniel Dourte
Clyde Fraisse
author_facet Wesley Porter
Ahmad Khalilian
Daniel Dourte
Clyde Fraisse
author_sort Wesley Porter
collection DOAJ
description Nitrogen fertilizer cost represents about 10%–15% of total farm costs for corn, cotton, and wheat in the Southeastern United States. The efficiency of nitrogen use can be highly variable for producers, so a sensor-based, variable-rate nitrogen application (SVNA) system has been developed for irrigated and dryland row crops to reduce production costs. Using sensor-based N application, there is a minimum 20% reduction in N usage. If that rate reduction were applied to all the cotton, corn, and wheat grown in the United States, CO2 emissions from N fertilizer production would be decreased by 2.7 million tons. This 4-page fact sheet was written by Wesley Porter, Ahmad Khalilian, Daniel Dourte, and Clyde Fraisse, and published by the UF Department of Agricultural and Biological Engineering, July 2012.
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issn 2576-0009
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publisher The University of Florida George A. Smathers Libraries
record_format Article
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spelling doaj-art-17a93985adce4d648941071f5badf87c2025-02-08T06:06:05ZengThe University of Florida George A. Smathers LibrariesEDIS2576-00092012-07-0120127Agricultural Management Options for Climate Variability and Change: Sensor-Based, Variable-Rate Nitrogen ManagementWesley Porter0Ahmad Khalilian1Daniel DourteClyde Fraisse2Oklahoma State UniversityClemson UniversityUniversity of FloridaNitrogen fertilizer cost represents about 10%–15% of total farm costs for corn, cotton, and wheat in the Southeastern United States. The efficiency of nitrogen use can be highly variable for producers, so a sensor-based, variable-rate nitrogen application (SVNA) system has been developed for irrigated and dryland row crops to reduce production costs. Using sensor-based N application, there is a minimum 20% reduction in N usage. If that rate reduction were applied to all the cotton, corn, and wheat grown in the United States, CO2 emissions from N fertilizer production would be decreased by 2.7 million tons. This 4-page fact sheet was written by Wesley Porter, Ahmad Khalilian, Daniel Dourte, and Clyde Fraisse, and published by the UF Department of Agricultural and Biological Engineering, July 2012. https://journals.flvc.org/edis/article/view/119969AE487
spellingShingle Wesley Porter
Ahmad Khalilian
Daniel Dourte
Clyde Fraisse
Agricultural Management Options for Climate Variability and Change: Sensor-Based, Variable-Rate Nitrogen Management
EDIS
AE487
title Agricultural Management Options for Climate Variability and Change: Sensor-Based, Variable-Rate Nitrogen Management
title_full Agricultural Management Options for Climate Variability and Change: Sensor-Based, Variable-Rate Nitrogen Management
title_fullStr Agricultural Management Options for Climate Variability and Change: Sensor-Based, Variable-Rate Nitrogen Management
title_full_unstemmed Agricultural Management Options for Climate Variability and Change: Sensor-Based, Variable-Rate Nitrogen Management
title_short Agricultural Management Options for Climate Variability and Change: Sensor-Based, Variable-Rate Nitrogen Management
title_sort agricultural management options for climate variability and change sensor based variable rate nitrogen management
topic AE487
url https://journals.flvc.org/edis/article/view/119969
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AT ahmadkhalilian agriculturalmanagementoptionsforclimatevariabilityandchangesensorbasedvariableratenitrogenmanagement
AT danieldourte agriculturalmanagementoptionsforclimatevariabilityandchangesensorbasedvariableratenitrogenmanagement
AT clydefraisse agriculturalmanagementoptionsforclimatevariabilityandchangesensorbasedvariableratenitrogenmanagement