[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
:: Volume 13, Issue 2 (12-2023) ::
JGST 2023, 13(2): 55-65 Back to browse issues page
Using collective intelligence to enhance agricultural plant cultivation through the use of virtual water calculations
Naser Mohammadi Varzaneh , Alireza Vafaeinejad * , Aliasghar Alesheikh , Zahra Azizi , Amirhoman Hemmasi
Abstract:   (112 Views)
The shortage and restriction of drinking water and even water consumption in many water-scarce countries of the globe, including Iran, has become an essential and vital issue. This is one of the key reasons that people and communities maximize the development of crops. The best management of crop production, taking into account the requirement for water in the agricultural sector, is one of the acceptable options in nations like Iran, which is also active in the field of agriculture. On the basis of this, it is vital to look at various analytical, planning, and decision-making techniques. Additionally, taking into account and calculating virtual water can significantly improve the cultivation pattern and decrease the amount of water currently consumed; as a result, optimizing the cultivation pattern using virtual water calculations can be highly beneficial. Coherent management and accurate decision-making in a variety of areas will result from the usage and implementation of spatial information systems, and taking into account virtual water will enhance navigation patterns and decrease water consumption. In order to achieve the best allocation of the cultivation pattern and as a result, the correct use of water in the agricultural lands of Ben-Rood district in the operations of Varzaneh city, located in the southeast of Isfahan province, was achieved in the current research by using the decision-making system that was created with the capabilities of GIS and artificial intelligence, along with the virtual water calculations of some agricultural plants. Using the collective intelligence algorithm of the ant community (ACO) in conjunction with the spatial information system, it was possible to achieve this goal after examining the optimization methods in decision-making using environmental parameters. This was done by taking into account the virtual water of cultivation and the growth of plants in the irrigation networks of the agricultural lands of the mentioned sector. Finally, the findings of this study demonstrate that the amount of water consumed may be decreased to 37% of the initial amount after optimizing the allocation of land for the cultivation of specific crops in that area, based on the virtual water of the crops.
Article number: 5
Keywords: Collective Intelligence, Ant Colony Algorithm, Virtual Water, Geographic Information System (GIS), Cultivation Pattern, Optimization
Full-Text [PDF 628 kb]   (65 Downloads)    
Type of Study: Research | Subject: GIS
Received: 2023/08/10
References
1. Mahdi Kolahi, Farhad Hosseinali, Mojtaba Karimaei Tabarestani, (2023). Determining the optimal cultivation pattern by considering the concept of virtual water and economic benefits (Case Study: Omrani Plain in Khorasan Razavi), Iranian Journal of Irrigation and Drainage, Volume 16, Issue 6 - Serial Number 96, March and April 2023, Pages 1221-1232
2. Maroufpoor, Saman; Bozorg-Haddad, Omid; Maroufpoor, Eisa; Gerbens-Leenes, P. Winnie; Loáiciga, Hugo A; Savic, Dragan; Singh, Vijay P. (2021). Optimal virtual water flows for improved food security in water-scarce countries. Scientific Reports, 11 (1), 21027. [DOI:10.1038/s41598-021-00500-6]
3. Qasemipour, Ehsan., Tarahomi, Farhad., Pahlow, Markus., Malek Sadati, Seyed Saeed., Abbasi, Ali., (2020). Assessment of Virtual Water Flows in Iran Using a Multi-Regional Input-Output Analysis. Sustainability 2020, 12(18), 7424; [DOI:10.3390/su12187424]
4. Bahrami, N., Kiavarz, M., Argany, M.(2020) "The Fusing of Satellite Images and Using Particle Swarm Optimization Algorithm to Improving Evaluation of Water Body, Focusing on Monitoring and Identifying Flood." Journal of Environmental Studies 46.2: 431-446.
5. Qasemipour, Ehsan., Abbasi, Ali., (2019) .Assessment of Agricultural Water Resources Sustainability in Arid Regions Using Virtual Water Concept: Case of South Khorasan Province, Iran. Water 2019, 11(3), 449; [DOI:10.3390/w11030449]
6. Bahrami, N., A Vafaeinejad, A., A Alesheikh, A., (2019). "Designing a spatio-temporal Decision Support System for tasks allocation planning to relief workers after the earthquake", Journal of Environmental Science and Technology, December 2019, Doi: 10.22034/JEST.2019.31884.4003
7. White, C. Davina, Lewis, M. Megan (2011). A new approach to monitoring spatial distribution and dynamics of wetlands and associated flows of Australian Great Artesian Basin springs using QuickBird satellite imagery, Journal of Hydrology, 408 (2011) 140-152 [DOI:10.1016/j.jhydrol.2011.07.032]
8. Yingchun Ge, Xin Li, Chunlin Huang, Zhuotong Nan (2013). A Decision Support System for irrigation water allocation along the middle reaches of the Heihe River Basin, Northwest China, Environmental Modelling & Software 47(2013) 182-192 [DOI:10.1016/j.envsoft.2013.05.010]
9. Yong Zeng, Yanpeng Cai, Peng Jia, Hoogkee Jee (2012). Development of a web-based decision support system for supporting integrated water resources management in Daegu city, South Korea, Expert Systems with Applications, 39(2012) 10091-10102 [DOI:10.1016/j.eswa.2012.02.065]
10. Bahrami, N., Argany, M., Samani, NN., Vafaei Nejad, AR., (2019). "Designing a context-aware recommender system in the optimization of the relief and rescue", The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume 42, Pages 171-177. [DOI:10.5194/isprs-archives-XLII-4-W18-171-2019]
11. Akhwan-Kazemzadeh, M., Yamani, M. (2016). Meta-heuristic optimization algorithms. Publisher: Jihad University, branch of Amirkabir University of Technology, 428 pages, 10-digit reference number: 9642100789, 13-digit reference number: 9789642100781.
12. Alizadeh, A. (2002). Principles of applied hydrology. Imam Reza University Publications.
13. Rangzen, K. (2005). The use of remote sensing in improving the management and optimal use of agriculture in the irrigation network. Seminar on the application of geographic information system - remote sensing, Ahvaz Sugarcane Planting and By-Industries Company, pp. 5-3
14. Virtual Water in Agriculture, https://palayeshcood.com
15. Virtual Water, Country Water and Wastewater Company, https://www.nww.ir
16. Bahrami, N., (2019). "Using Tabu Search Algorithm and Geospatial Information System for Managing of the Relief and Rescue Teams", Journal of Geomatics Science and Technology, Volume 8, Issue 3, Pages 179-188.
17. Bahrami, N., Argany, M., Jelokhani Neyaraki, M., Vafaeinezhad, A.R., (2019). "Providing a spatial approach in the rescue and relief management after the earthquake", Environmental Management Hazards, Volume 6, Issue 2, Pages 117-129.
18. Bahrami, N., Argany, M., Neysani Samani, N., Vafaei Nejad, AR., (2021), "Designing a Context-aware Recommender System in the Optimization of the Relief and Rescue by Ant Colony Optimization Algorithm and Geospatial Information System", Journal of Geomatics Science and Technology, Volume 11, Issue 2, Pages 153-162.
19. Water Footprint, (2021). Water Footprint Network, https://www.waterfootprint.org
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA



XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Mohammadi Varzaneh N, Vafaeinejad A, Alesheikh A, Azizi Z, Hemmasi A. Using collective intelligence to enhance agricultural plant cultivation through the use of virtual water calculations. JGST 2023; 13 (2) : 5
URL: http://jgst.issgeac.ir/article-1-1158-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 13, Issue 2 (12-2023) Back to browse issues page
نشریه علمی علوم و فنون نقشه برداری Journal of Geomatics Science and Technology