ARTIFICIAL INTELLIGENCE AND SUSTAINABLE DEVELOPMENT IN AGRICULTURAL ENGINEERING: A SYSTEMATIC REVIEW ON PRECISION AGRICULTURAL TECHNOLOGIES. (SMART FARMING)

Abstract

This study investigates the transformative role of Artificial Intelligence (AI) in promoting sustainable development within agricultural engineering. By applying the PRISMA methodology, we systematically review literatures from 2018 to 2024, focusing on AI applications that align with the three pillars of sustainability: economic viability, environmental stewardship, and social responsibility. The findings reveal that AI technologies; such as smart farming, machine learning, computer vision and predictive analytics are reshaping agricultural practices through precision farming, climate-resilient strategies, and smart resource management. The paper concludes with recommendations for future research and policy frameworks to enhance AI integration in sustainable agriculture.