Presenter Information

Li ZhangFollow

Location

Columbia Metropolitan Conference Center, South Carolina

Event Website

https://www.clemson.edu/public/sc_water_resources/index.html

Start Date

17-10-2018 3:50 PM

End Date

17-10-2018 4:15 PM

Session Name

Session 3 Track 6: Agriculture and Infrastructure Issues

Description

A mathematical model and optimization framework to aid farmers in selecting crop portfolios were proposed and discussed in (Bokhira et al. 2014; Chrispell et al. 2012). In this paper, we propose a refined mathematical model which reduces the number of constraints by nearly half while the number of decision variables is about the same. Also, the proposed model is easier to implement and maintain due to its generalized structure, and it provides more flexibility for us to expand the problem. Some key sensitive analysis is also provided.

Comments

The two papers cited in the abstract are as follows:

J. Bokhira, K. R. Fowler, and E. W. Jenkins. Modeling and optimization for crop portfolio management under limited irrigation strategies. J. Agircul. Environ. Sci., 2:1–14, 2014.

J. C. Chrispell, K. R. Fowler, E. W. Jenkins, M. Minik, T. Sendova, and S. E. Howington. Meeting a sustainable water yield for agricultural practices through crop rotation and catchment basin design. Proceedings of the 2012 SC Water Resources Conference, Columbia, SC.

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Oct 17th, 3:50 PM Oct 17th, 4:15 PM

A MATHEMATICAL REMODELING FOR CROP PORTFOLIO SELECTION UNDER LIMITED IRRIGATION RESOURCE

Columbia Metropolitan Conference Center, South Carolina

A mathematical model and optimization framework to aid farmers in selecting crop portfolios were proposed and discussed in (Bokhira et al. 2014; Chrispell et al. 2012). In this paper, we propose a refined mathematical model which reduces the number of constraints by nearly half while the number of decision variables is about the same. Also, the proposed model is easier to implement and maintain due to its generalized structure, and it provides more flexibility for us to expand the problem. Some key sensitive analysis is also provided.

https://open.clemson.edu/scwrc/2018/2018infrastructure/1