Authors: Nitish Sharma, Dr Komal Garg
Abstract: The rising demand for food worldwide and declining freshwater resources have intensified the need for efficient agricultural practices. Smart irrigation, powered by the integration of the Internet of Things (IoT) and Artificial Intelligence (AI), offers a transformative solution for precise and sustainable water management. This review examines current advancements in smart irrigation technologies, concentrating on IoT-enabled sensor networks, real-time environmental monitoring, and AI-powered judgment models such as machine learning and predictive analytics. It examines the evolution among these technologies, their application in farming with accuracy, and the synergetic benefits of combining IoT and AI. Moreover, the review highlights implementation challenges, including high costs, energy constraints, data security, and region-specific limitations. The paper concludes with future research directions aimed at enhancing system efficiency, adaptability, and accessibility, especially in water-scarce and developing regions.
DOI: http://doi.org/10.5281/zenodo.16810519
