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Optimization of Land Use

Optimization of Land Use. In Panchmahal District, Gujarat, India. BE 431 Team Project. By Uruchaya Sonchaeng Amanda Haleen. Introduction. India is a society currently at the stage of evolution from Caste system.

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Optimization of Land Use

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  1. Optimization of Land Use In Panchmahal District, Gujarat, India BE 431 Team Project By Uruchaya Sonchaeng Amanda Haleen

  2. Introduction • India is a society currently at the stage of evolution from Caste system. • Removing the concepts of the Caste system allows a reasonable evaluation of the land reform process to be examined and allows maximum benefits of land use.

  3. Introduction (cont’) • An evaluation of goal programming is useful in determining the views of • agrarian • capitalist and • environmentalist on how to optimize the land use.

  4. Objectives To evaluate the optimal solution for the Capitalist, Environmentalist and Agrarian perspectives, we first did a nominal LP using the following objectives, and then we rated the objectives for the goal programming. • Crop Demand • Cost Limitations (referred to as “finances”) • Profit • Ecologic constraints • Technical and Land constraints

  5. Methods An area in Panchmahal district, Gujarat, India was selected for land use planning study.

  6. Land Use in Panchmahal, Gujarat, India. Source: Shukla et al (2002)

  7. Suitable area for conversion and investment for land transformation

  8. Other Costs and Profit Returns • Investments required for maintaining the current land use are 0, 10, 20, 40, and 90 rupees • Profits from land use activities are 0, 500, 10000, 25000, and 50000 rupees For wasteland, grassland, forest, single crop, and double crop, respectively

  9. Demands and yields of major crops in Panchmahal Note: the data with a are assumed empirically.

  10. Constraints Formulate LP and LGPs with the following constraints: • Land: Conservation of total area • Technical: Based on possible land transformation • Ecological: 75% of forest must be reserved • Financial: Total investment  22,000,000 rupees • Crop demand: Crop yield  demand • Profit return: set goal to 600,000,000 rupees

  11. Goal Setting • Capitalist • Profit & Land • Financial • Technical • Crop Demand • Ecology • Environmentalist • Ecology & Land • Technical • Crop Demand • Profit • Financial • Agrarian • Technical & Land • Crop Demand • Financial • Profit • Ecology

  12. Results

  13. Results (cont’)

  14. Results (cont’)

  15. Discussion • LP: • yielded profit of 525,355,117 rupees. • 1342.5 Ha of land transformation. • No violation of constraints. • LGP (Agrarian): • yielded profit of 522,795,964 rupees. • 1181.9 Ha of land transformation. • Violation of goal profit constraints.

  16. Discussion (cont’) • LGP (Capitalist): • yielded profit of 600,000,000 rupees. • 2663.1 Ha of land transformation. • Violation of ecological constraints. • LGP (Environmentalist): • yielded profit of 525,355,190 rupees. • 1342.5 Ha of land transformation. • Violation of goal profit constraints.

  17. Conclusion • The comparison of Linear Programming and Lexicographic goal programming show ways the land resources of Panchmahal district in Gujarat, India can be shaped to meet the needs of the people. • Land reform is an invasive technique that can be used by different people to meet their individual needs. It may allow for a better allocation of resources in places where agriculture is vitally important to survival.

  18. QUESTIONS ?

  19. Thank you

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