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United States Department of Agriculture

Agricultural Research Service

Research Project: MANAGING LIMITED IRRIGATION AND RAINFALL FOR CROP PRODUCTION IN SEMI-ARID ENVIRONMENTS

Location: Wind Erosion and Water Conservation Research

Title: Precision Agriculture and Nutrient Cycling

Authors
item Lascano, Robert
item Booker, J -

Submitted to: Encyclopedia of Environmental Management
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: April 27, 2011
Publication Date: May 1, 2013
Citation: Lascano, R.J., Booker, J.D. 2013. Precision Agriculture and Nutrient Cycling. In: Encyclopedia of Environmental Management. Taylor and Francis: New York, NY. 2217-2223.

Interpretive Summary: Precision agriculture (PA) refers to the practice of managing agronomic inputs according to specific needs across the landscape. The major impediment to implement the adoption of PA is the development of decision-support systems. One way to achieve this objective is to integrate crop simulation models with geographic information data of soil and elevation, real-time weather, and management information systems to provide a framework to manage crops. An example of this is the combination of the Precision Agricultural Landscape Modeling System with a cotton simulation model to calculate the energy, water, energy and carbon balance at a 5-10 m scale. This integration provides a framework to manage agronomic inputs to maximize economic crop yield while minimizing environmental hazards. Adoption of PA will continue to increase given the demand for a safe food supply of high quality.

Technical Abstract: Precision agriculture (PA) refers to the practice of managing agronomic inputs according to specific needs across the landscape. The major impediment to implement the adoption of PA is the development of decision-support systems. One way to achieve this objective is to integrate crop simulation models with geographic information data of soil and elevation, real-time weather, and management information systems to provide a framework to manage crops. An example of this is the combination of the Precision Agricultural Landscape Modeling System with a cotton simulation model to calculate the energy, water, energy and carbon balance at a 5-10 m scale. This integration provides a framework to manage agronomic inputs to maximize economic crop yield while minimizing environmental hazards. Adoption of PA will continue to increase given the demand for a safe food supply of high quality.

Last Modified: 8/29/2014
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