Nisrine Lachgar, Hajar Saikouk, Moad Essabbar, Achraf Berrajaa, Ahmed El Hilali Alaoui
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引用次数: 0
Abstract
Sustainable agriculture requires immediate innovative strategies as climate change tightens its hold on the world's water resources, also referred to as the "blue gold" resources. This systematic review based on PRISMA guidelines explores how Artificial Intelligence and Embedded Systems alter the way we use this valuable resource. Two main areas are examined: (1) reference evapotranspiration estimation by AI for precision irrigation. In this work, we review current approaches and suggest a unique categorization strategy to direct future investigations in water management policy. (2) Smart agriculture using embedded systems, without more focus on irrigation systems. We analyze their components, characteristics, and the advancements, highlighting constraints and current gaps. By examining their synergistic adoption, insights into the growth of AI and Embedded Systems within smart farming is provided. The advanced system that uses AI to estimate ET accurately and combines it with embedded technologies for real-time irrigation control is fueled by this level of knowledge. This technology has enormous potential to enable sustainable water practices.
期刊介绍:
pure and applied geophysics (pageoph), a continuation of the journal "Geofisica pura e applicata", publishes original scientific contributions in the fields of solid Earth, atmospheric and oceanic sciences. Regular and special issues feature thought-provoking reports on active areas of current research and state-of-the-art surveys.
Long running journal, founded in 1939 as Geofisica pura e applicata
Publishes peer-reviewed original scientific contributions and state-of-the-art surveys in solid earth and atmospheric sciences
Features thought-provoking reports on active areas of current research and is a major source for publications on tsunami research
Coverage extends to research topics in oceanic sciences
See Instructions for Authors on the right hand side.