Economic Land Utilization Optimization Model-Reference-Cited by-同舟云学术

Economic Land Utilization Optimization Model

Published:2023-02-01 Issue:3 Volume:15 Page:2594
ISSN:2071-1050
Container-title:Sustainability
language:en
Short-container-title:Sustainability

Author:

Hosny Ossama A.¹,Dorra Elkhayam M.¹,Tarabieh Khaled A.²^ORCID,El Eslamboly Ahmed³,Abotaleb Ibrahim¹^ORCID,Amer Mariam²,Gad Heba Kh.¹,Farouk Mostafa¹,Abd El Raouf Youmna¹,Sherif Adham¹,Hussein Youssef⁴^ORCID

Affiliation:

1. Department of Construction Engineering, American University in Cairo, Cairo 11835, Egypt

2. Department of Architecture, American University in Cairo, Cairo 11835, Egypt

3. Horticulture Research Institute, Giza 12619, Egypt

4. 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/m3 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.

Funder

Bartlett Fund for Critical Challenges

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Link

https://www.mdpi.com/2071-1050/15/3/2594/pdf

Reference21 articles.

1. Climate change vulnerability and adaptation strategies in Egypt’s agricultural sector;McCarl;Mitig. Adapt. Strateg. Glob. Chang.,2015

2. Hosny, O., Dorra, E., Tarabieh, K., Nassar, K., Zahran, S., and Amer, M. (2017, January 8–10). Quantifying the Social Impact of a Pilot Sustainable and Environmentally Friendly Optimizer for Urban Landscaping (SEOUL). Proceedings of the 3rd Energy for Sustainability International Conference, Funchal, Portugal.

3. ECPGR (2020, February 18). ECPGR Central Crop Databases and Other Crop Databases. Available online: https://www.ecpgr.cgiar.org/resources/germplasm-databases/ecpgr-central-crop-databases/.

4. FAO (2020, February 18). Land and Water, Food Agric. Organ. United Nations. Available online: http://www.fao.org/land-water/databases-and-software/crop-information/en/.

5. Ryu, M., Yun, J., Miao, T., Ahn, I., Choi, S., and Kim, J. (2015, January 1–4). Design and implementation of a connected farm for smart farming system. Proceedings of the 2015 IEEE SENSORS, Online.