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

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 mechanization and automation technologies. The advent of Artificial Intelligence (AI) has further catalyzed this advancement, with itsinte-gration into the agricultural sector becoming increasingly sophisticat-ed and profound. With the rapid development of Artificial Intelli-gence (AI) technology, its application in the agricultural sector is be-coming increasingly profound, bringing revolutionary changes to modern agriculture. Irrigation is a process in which water is applying on the soil in order to improve the growth of crops or fruit trees, to revegetate degradedsoil, or to maintain landscapes in areas where rains are insufficient or irregular.(Gavali, M., Dhus, B, 2016)The application of AI technology in 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 inef- ficient and wasteful. The amalgamation of Artificial Intelligence within irrigation systems heralds a paradigmatic shift in the manage-ment 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 au-tonomous control frameworks.

Authors

Publication Details

Journal
The Journal of Artificial Intelligence and Business
Published
2024-11-26
DOI
https://doi.org/10.71460/ffxv3109
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

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

Y Luo
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The Journal of Artificial Intelligence and Business
Smart Agriculture and AI
article

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

Y Luo
article en

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 mechanization and automation technologies. The advent of Artificial Intelligence (AI) has further catalyzed this advancement, with itsinte-gration into the agricultural sector becoming increasingly sophisticat-ed and profound. With the rapid development of Artificial Intelli-gence (AI) technology, its application in the agricultural sector is be-coming increasingly profound, bringing revolutionary changes to modern agriculture. Irrigation is a process in which water is applying on the soil in order to improve the growth of crops or fruit trees, to revegetate degradedsoil, or to maintain landscapes in areas where rains are insufficient or irregular.(Gavali, M., Dhus, B, 2016)The application of AI technology in 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 inef- ficient and wasteful. The amalgamation of Artificial Intelligence within irrigation systems heralds a paradigmatic shift in the manage-ment 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 au-tonomous control frameworks.

The Journal of Artificial Intelligence and BusinessVol. 22(4)
Openalex Percentile: Top 84%
Smart Agriculture and AI
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