A recent study led by Dr. Shahidul Islam at the University of Arkansas at Pine Bluff showcases the growing integration of artificial intelligence in agriculture. This research reviews 95 peer-reviewed studies from 2021 to 2025, highlighting AI’s applications in monitoring crops, managing irrigation, detecting pests and diseases, predicting yields, and guiding agricultural robots. The move toward ‘Agriculture 4.0’ combines sensors, computer models, and automation to enhance real-time decision-making, promoting resource efficiency and climate resilience. Challenges remain, including costs, data privacy, and the need for real-world testing, but the potential benefits for farmers and sustainability are significant.
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