Improvement of Irrigation Water Management Using Simulation Models And Artificial Intelligence Under Dry Environment Conditions In Egypt: A Review

Document Type : Review Articles

Authors

Water Relations and Field Irrigation Department, Agricultural and Biological Institute, National Research Centre,33 EL Bohouth St., Dokki, Giza, Egypt, Postal Code: 12622.

Abstract

Agriculture is facing major challenges such as inefficient irrigation systems, climate change, groundwater intensity, food shortages as well as reuse of food and water wastes, and much more. The acceptance of different cognitive solutions has a significant impact on the fate of cultivating. With a growing population, there is a pressing need to provide more food and agricultural crops, which necessitates the supply of sufficient water. In agriculture and other human activities, water is still the most important factor.Traditional irrigation water management methods are insufficient to face the rising demand. Artificial intelligence and simulation models are two new technologies that can help with irrigation and water conservation. Farmers will benefit from the technology because it will help them achieve higher yields and a more consistent seasonal crop. Artificial intelligence is useful to be used in irrigation practice and to predict weather and other agricultural conditions. Most of the farmers' concerns would be alleviated by accurate projection or prediction using AI technology. AI-powered sensors are extremely useful for extracting essential agricultural data. The information will be helpful in improving efficiency of irrigation application. Those designing the next generation of agricultural systems models, data, and information systems should embrace new technologies and knowledge. Smart phones and networking, remote sensing, open source software tools, and cloud computing as a way of allowing wide access to powerful tools are all examples of modern technology.

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History

  • Receive Date: 19 July 2022
  • Revise Date: 10 December 2022
  • Accept Date: 14 June 2023

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