Artificial Intelligence and Machine Learning Applications in Modern Agriculture: A Review of Current Trends and Future Prospects

Abstract

Agriculture is changing as a result of artificial intelligence (AI) and machine learning (ML), which increase productivity, decrease expenses, and improve efficiency. AI-powered solutions assist farmers with weather forecasting, crop monitoring, and farming process automation. By evaluating vast volumes of agricultural data, machine learning makes intelligent decision-making possible. This study examines the most recent uses of AI and ML in agriculture, such as yield prediction, crop monitoring, precision farming, and pest control. It also covers difficulties including exorbitant prices, a lack of technological expertise, and concerns about data protection. The study concludes by outlining the prospects for the future, with a focus on enhanced sustainability and automation powered by AI.