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Economic Land Utilization Optimization Model

Author

Listed:
  • Ossama A. Hosny

    (Department of Construction Engineering, American University in Cairo, Cairo 11835, Egypt)

  • Elkhayam M. Dorra

    (Department of Construction Engineering, American University in Cairo, Cairo 11835, Egypt)

  • Khaled A. Tarabieh

    (Department of Architecture, American University in Cairo, Cairo 11835, Egypt)

  • Ahmed El Eslamboly

    (Horticulture Research Institute, Giza 12619, Egypt)

  • Ibrahim Abotaleb

    (Department of Construction Engineering, American University in Cairo, Cairo 11835, Egypt)

  • Mariam Amer

    (Department of Architecture, American University in Cairo, Cairo 11835, Egypt)

  • Heba Kh. Gad

    (Department of Construction Engineering, American University in Cairo, Cairo 11835, Egypt)

  • Mostafa Farouk

    (Department of Construction Engineering, American University in Cairo, Cairo 11835, Egypt)

  • Youmna Abd El Raouf

    (Department of Construction Engineering, American University in Cairo, Cairo 11835, Egypt)

  • Adham Sherif

    (Department of Construction Engineering, American University in Cairo, Cairo 11835, Egypt)

  • Youssef Hussein

    (Department of Computer Science, American University in Cairo, Cairo 11835, Egypt)

Abstract

Recently, population growth and resource depletion have been matched by a growing demand for self-sustaining communities. Numerous studies promote sustainable solutions to the concerns of climate change and food scarcity. This study aims at creating an automated Economic Land Utilization Optimization Model (ELUOM) that identifies sustainable and cost-effective agricultural practices. Soil, water & climatic characteristics of over 400 crops are gathered in a relational database to build the model. Evolutionary algorithms are utilized to filter the database based on user input. Optimization process is then performed on all possible utilization plans of the filtered crops to maximize the 20-year return while minimizing water consumption. The model is verified on a case study in Giza, Egypt where it shows the potential of increasing the return/m 3 of water by 370% versus current practices. This research also studies the application of ELOUM on a vacant plot in the American university in Cairo, Egypt.

Suggested Citation

  • Ossama A. Hosny & Elkhayam M. Dorra & Khaled A. Tarabieh & Ahmed El Eslamboly & Ibrahim Abotaleb & Mariam Amer & Heba Kh. Gad & Mostafa Farouk & Youmna Abd El Raouf & Adham Sherif & Youssef Hussein, 2023. "Economic Land Utilization Optimization Model," Sustainability, MDPI, vol. 15(3), pages 1-21, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2594-:d:1053828
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    References listed on IDEAS

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    1. Wolfert, Sjaak & Ge, Lan & Verdouw, Cor & Bogaardt, Marc-Jeroen, 2017. "Big Data in Smart Farming – A review," Agricultural Systems, Elsevier, vol. 153(C), pages 69-80.
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    1. Maksym, Volodymyr & Chemerys, Vasyl & Kunytska-Iliash, Marta & Borshchevskyi, Viktor & Dushka, Vitalii, . "Modelling the economic potential of the agricultural sector in the Carpathian region of Ukraine," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 11(2).

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