The week's pick
Reseach Article
An Intelligent System for Optimizing Irrigation Water Usage for Cucumber Crop in Egypt
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 186 - Number 10 |
| Year of Publication: 2024 |
| Authors: Nevien Moawad, Tarek Heggi, Susan F. Ellakwa, Manal M.H. Gad El-Moula, Ayman Mohamed |
10.5120/ijca2024923456
|
Nevien Moawad, Tarek Heggi, Susan F. Ellakwa, Manal M.H. Gad El-Moula, Ayman Mohamed . An Intelligent System for Optimizing Irrigation Water Usage for Cucumber Crop in Egypt. International Journal of Computer Applications. 186, 10 ( Feb 2024), 34-41. DOI=10.5120/ijca2024923456
Abstract
Nowadays, Egypt is confronting many challenges in providing fresh water per capita. According to CAPMAS (the Central Agency for Public Mobilization and Statistics), Egypt's yearly water share per person fell to 570 m3 in 2018, while the global average is 1000 m3 annually. There are multiple reasons that cause Egypt's lack of water, including but not limited to climate changes such as the temperature increase, low rate of rainfall, increase in population, and the unplanned management of the existing resources, such as Ethiopia's building of the Grand Renaissance Dam without arranging with the affected countries. This article aims to build a web application using an irrigation expert system to reduce the quantity of cucumber irrigation water. It serves the designers of an irrigation expert system to facilitate the rapid development of an irrigation component by offering a template that can be easily filled. It also helps growers save irrigated water. The system has been applied to the cucumber crop in the greenhouse. It is among the most significant crops in Egypt. The outcomes of the experiment show a highly significant impact in calculating the needed irrigation water requirements, and there are two effective outcomes. The first outcome is achieving 20 reductions in the quantity of irrigation water used. The second outcome is the capability of using the expert system for irrigation in locations that have a shortage of experts in this domain. In addition to that, other related irrigation parameters, such as nutrition elements, should be considered in future research.
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