AI-Driven Innovations in Farming: A Systematic Literature Review on Advancing Sustainable Agriculture
Outlet Title
6th International Conference on Agriculture Food Security & Safety
Document Type
Conference Proceeding
Publication Date
2025
Abstract
The rapid adoption of artificial intelligence (AI) is transforming modern farming practices, offering new pathways to achieve sustainable agriculture and long-term food security. This study presents a systematic literature review that examines the application of AI-driven innovations in farming, focusing on enhancing efficiency, environmental sustainability, and resource optimisation. Following PRISMA guidelines, academic and industry sources from major scientific databases were analysed to identify trends in precision agriculture, smart irrigation, crop health monitoring, and predictive analytics for yield forecasting. The review highlights how machine learning, computer vision, and decisionsupport algorithms are increasingly utilised to monitor soil health, detect crop diseases, optimise input usage, and reduce environmental impact. Additionally, the study synthesises emerging evidence on AI enabled integration with Internet of Things (IoT) devices, drones, and satellite systems for real time data collection and actionable insights. The findings emphasise the potential of AI to support climate-resilient farming practices, minimise resource wastage, and improve decision making in sustainable food production systems. By consolidating current research and identifying knowledge gaps, this review provides a comprehensive foundation for future studies and guides policymakers, agronomists, and technology developers in leveraging AI for sustainable agriculture.
Recommended Citation
Kollipara, Yesu and El-Gayar, Omar, "AI-Driven Innovations in Farming: A Systematic Literature Review on Advancing Sustainable Agriculture" (2025). Research & Publications. 473.
https://scholar.dsu.edu/bispapers/473