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An uncertainty-based comprehensive decision support system for site-specific crop management

Published online by Cambridge University Press:  01 June 2017

V. Adamchuk ,
R. Lacroix ,
S. Shinde ,
N. Tremblay  and
H. Huang
V. Adamchuk*
Affiliation:
McGill University, Ste-Anne-de-Bellevue, QC, H9X 3V9, Canada
R. Lacroix
Affiliation:
Valacta, Ste-Anne-de-Bellevue, QC, H9X 3R4, Canada
S. Shinde
Affiliation:
McGill University, Ste-Anne-de-Bellevue, QC, H9X 3V9, Canada
N. Tremblay
Affiliation:
Agriculture and Agri-Food Canada, Saint-Jean-sur-Richelieu, QC, J3B 3E6, Canada
H. Huang
Affiliation:
McGill University, Ste-Anne-de-Bellevue, QC, H9X 3V9, Canada
*
† E-mail: viacheslav.adamchuk@mcgill.ca
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Abstract

This paper presents a framework for the implementation of a decision support system that considers spatial, temporal and managerial factors in assessing the potential impact of crop amendments on the cost of a given production scenario. The proposed system includes a database and a numeric simulation model. The database is linked to previously recorded crop responses for a given agricultural input under different conditions while the numeric simulation model determines the probability of different levels of profit for each decision option. This system then determines the optimal uniform rate of application of an amendment to maximize profits, or to define the range of such rates for a case of variable rate application. Uncertainty-based treatment of each model input allows for a balance between the potential results of under-application or over-application.

Keywords

Crop fertilizationdecision support systemsproduction functionprofitabilityuncertainty
Type
Information and Decision Support Systems
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 625 - 629
Copyright
© The Animal Consortium 2017. This is a work of the U.S. Government and is not subject to copyright protection in the United States 

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