Harnessing AI for Small-Scale Irrigation Systems: A Comprehensive Literature Review

Abstract

This research paper investigates the critical role of small-scale irrigation systems, particularly for smallholder farmers, through an extensive literature review sourced from the Scopus database. The study focuses on the essential elements of smart irrigation systems and the integration of artificial intelligence (AI) to enhance water management efficiency and boost agricultural productivity. The methodology encompasses a thorough review of existing literature to pinpoint challenges and limitations in small-scale irrigation, proposing potential solutions to these issues. By examining case studies and discussing AI technology implementations, the paper underscores the potential for automating decision-making processes using real-time data, which could lead to sustainable agricultural practices and improved crop yields. The findings illustrate how AI integration with innovative irrigation systems can transform traditional farming, enhancing efficiency and environmental sustainability. The discussion elaborates on the implications, advocating for further research and development to maximize the benefits of AI-driven irrigation for farmers worldwide. Recommendations include increased investment in AI technologies, knowledge sharing, and capacity building among smallholder farmers to adopt these advanced practices.