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A framework and system for a multi-m...

Vegesana, Kasi Bharath.

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A framework and system for a multi-model decision aid for sustainable farming practices.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A framework and system for a multi-model decision aid for sustainable farming practices./
Author:	Vegesana, Kasi Bharath.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2015,
Description:	155 p.
Notes:	Source: Dissertation Abstracts International, Volume: 77-10(E), Section: A.
Contained By:	Dissertation Abstracts International77-10A(E).
Subject:	Agricultural education. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10128806
ISBN:	9781339868066

A framework and system for a multi-model decision aid for sustainable farming practices.
Vegesana, Kasi Bharath.

A framework and system for a multi-model decision aid for sustainable farming practices. - Ann Arbor : ProQuest Dissertations & Theses, 2015 - 155 p.

Source: Dissertation Abstracts International, Volume: 77-10(E), Section: A.

Thesis (Ph.D.)--Old Dominion University, 2015.

Decision support systems (DSS) for farmers address the need for modeling multiple processes and scenarios that affect farmer decision making. Existing DSS have various drawbacks that stop them from being deployed as decision support tools. This research proposes a multi-model simulation framework that can be used to analyze farm management practices at the crop level, individual farm level and at the community level to show the impact and alternatives for smallholder farming practices. A generic crop growth model is proposed, based on existing equations. We run sensitivity analysis on the model to identify important variables. The outputs from the crop model are utilized in a series of linear programming models to estimate the optimal scheduling of crops. In addition to these models we build a rule-based fuzzy system to replicate existing trends among farmers. Predicting these trends help us in identifying the decision patterns of farmers and help us in conducting scenario analysis to gauge the farmers reactions to external stimuli. The various limitations and assumptions of the models are described, and we conclude with suggestions for improving these models.

ISBN: 9781339868066Subjects--Topical Terms:

612126
Agricultural education.

A framework and system for a multi-model decision aid for sustainable farming practices.
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502 $a Thesis (Ph.D.)--Old Dominion University, 2015.
520 $a Decision support systems (DSS) for farmers address the need for modeling multiple processes and scenarios that affect farmer decision making. Existing DSS have various drawbacks that stop them from being deployed as decision support tools. This research proposes a multi-model simulation framework that can be used to analyze farm management practices at the crop level, individual farm level and at the community level to show the impact and alternatives for smallholder farming practices. A generic crop growth model is proposed, based on existing equations. We run sensitivity analysis on the model to identify important variables. The outputs from the crop model are utilized in a series of linear programming models to estimate the optimal scheduling of crops. In addition to these models we build a rule-based fuzzy system to replicate existing trends among farmers. Predicting these trends help us in identifying the decision patterns of farmers and help us in conducting scenario analysis to gauge the farmers reactions to external stimuli. The various limitations and assumptions of the models are described, and we conclude with suggestions for improving these models.
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