Artificial Intelligence in Agricultural Irrigation: An important revolution in agriculture in the future

Abstract

Agricultural productivity has experienced a marked escalation over the years, attributable to the intensification of agricultural practices, which have been significantly bolstered by the incorporation of mechanisation and automation technologies. The advent of artificial intelligence (AI) has further catalysed this advancement, with its integration into the agricultural sector becoming increasingly sophisticated and profound. With the rapid development of artificial intelligence (AI) technology, its application in the agricultural sector is becoming increasingly profound, bringing revolutionary changes to modern agriculture. Irrigation is a process in which water is applied to the soil in order to improve the growth of crops or fruit trees, to revegetate degraded soil, or to maintain landscapes in areas where rains are insufficient or irregular. (Gavali, M., Dhus, B, 2016) The application of AI technology in the agricultural sector, like irrigation, has not only improved the efficiency of agricultural production but also contributed to the sustainable development of agricultural irrigation, which is a critical component of food production, yet it is often inefficient and wasteful. The amalgamation of artificial intelligence within irrigation systems heralds a paradigmatic shift in the management of water resources within the agricultural domain. This article delves into the pivotal function of AI in augmenting the efficacy and sustainability of irrigation systems, with particular emphasis on the cultivation of decision support systems, prognostic analytics, and autonomous control frameworks.