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4155. A Simulation Study for Agricultural Production Optimization
Invited abstract in session TC-12: DSS in Agriculture, stream OR in Agriculture and Forestry .
Tuesday, 12:30-14:00Room: 13 (building: 116)
Authors (first author is the speaker)
| 1. | Zehra Kamisli Ozturk
|
| Industrial Engineering Department, Eskisehir Technical University | |
| 2. | Gurkan Ozturk
|
| Industrial Engineering, Eskisehir Technical University |
Abstract
The aggravation of agricultural land misuse, alongside climate change and population growth, intensifies the pressure on agriculture to fulfill food demand. To address this challenge, urgent action is needed to implement sustainable land and forest management practices, expand cultivation areas, and enforce effective agricultural policies. Agriculture has historically been pivotal in sustaining livelihoods and economies, necessitating optimization in production planning and productivity to unlock its full potential.
There is limited research on agricultural production planning, particularly in Turkey.
In this study, the focus is on conducting a 2-3 year simulation study to maximize revenue from agricultural products in a specific region. Using mixed integer programming, the study designs crop patterns for selected parcels and plans production accordingly. The GAMS software is utilized to solve the model.
In conclusion, addressing agricultural challenges through optimization models and simulation studies is crucial for fostering sustainable and efficient agriculture. This study contributes to optimizing agricultural production in Eskisehir, Turkey, underscoring the importance of customized solutions in agricultural planning and management.
Keywords
- Scheduling
- Programming, Mixed-Integer
- Simulation
Status: accepted
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