Type of Document Dissertation Author Lopez-Collado, Jose Author's Email Address firstname.lastname@example.org URN etd-083099-155635 Title A Whole-Farm Planning Decision Support System for Preventive Integrated Pest Management and Nonpoint Source Pollution Control Degree PhD Department Entomology Advisory Committee
Advisor Name Title Stone, Nicholas D. Committee Chair Bosch, Darrell J. Committee Member Mack, Timothy P. Committee Member Roach, John W. Committee Member Wolfe, Mary Leigh Committee Member Keywords
- Whole-Farm Planning
- Preventive IPM
- Decision Support Systems
- Constraint Satisfaction
- Nonpoint Source Pollution Control
- Corn Rootworm Control
Date of Defense 1999-08-13 Availability unrestricted AbstractA decision support system for preventive integrated pest management (IPM) and nonpoint source (NPS) pollution control was designed, implemented and evaluated. The objective of the system was to generate plans at the farm level to satisfy economic and production goals while limiting risks of insect pest outbreaks, nitrate and pesticide leaching and runoff, and soil erosion.
The system is composed of a constraint satisfaction planner (CROPS-LT), a modified version of CROPS (Stone, 1995), a farm-level resource management system (FLAME), an NPS module, which includes a weather generator, CLIGEN (Nicks et al. 1995), and an NPS distributed-parameter model, ANSWERS (Bouraoui, 1994), databases, a database engine and utility programs.
The performance of the system was analyzed and performance enhancing features were added to increase the planner's ability to find near-optimal plans within a limited planning time. Using heuristics to sort potential crop rotations based on profit generally improved the planner's performance, as did removal of fields that were not suitable for growing target crops. Not surprisingly, the planner was best able to find plans for crops that can be grown in a variety of rotational systems. Throughout, the ability to apply environmental constraints selectively to individual fields greatly improved the planner's ability to find acceptable plans.
Preventive IPM (PIPM) heuristics to control corn rootworms CRW (Diabrotica virgifera virgifera and D. barberi) were added to the planner. The model was represented and solved as a constraint satisfaction problem. Results indicated that plans obtained using PIPM heuristics had less risk of CRW damage, reduced chemical control costs, higher profit and reduced soil erosion as compared to a control plan.
Linking the planner to the NPS model in a feedback control loop improved the planner's ability to reduce soil losses while preserving economic and production goals.
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