Natural resources like water are one of the essential elements for the survival of life on the globe. Due to increase in population, more water is required for agricultural purposes to assure food availability. This elevated demand not only consumes a considerable amount but also wastage of these resources has been perceived. One of the major causes for this wastage is adoption of conventional irrigation methods. Hence there is a need to upgrade the irrigation processes integrating the smart techniques for the optimum utilization of available resources. Therefore, this study intends to propose a smart irrigation system utilizing Artificial Intelligence approach. This research tends to present the advanced parameters for the enhancement of smart irrigation systems. The proposed model comprises three major modules including memory, analyzer and decision maker. This study contributed to present a roadmap towards smart decision making for a smart model keeping various constraints under consideration. The presented model would lead the trail of smart advancement to an innovative era. This has been done with the least involvement of humans, but the adaptive artificial intelligence is influenced by the internet of things.
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Mustafa et al. (2024) studied this question.
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