The use of artificial intelligence (AI) has revolutionized the agricultural sector, enabling farmers to optimize their operations, increase crop yields, and reduce resource consumption. Areas where AI is being utilized include precision farming, crop monitoring, machine learning, predictive modeling, and data analysis. This review paper explores the varied applications of AI in agriculture. Different AI techniques and their applications in agriculture, including computer vision, robotics, and Internet of Things (IoT) based sensors have also been examined. The advantages and limitations of these applications and the challenges associated with implementing AI in agriculture have been discussed. In the end, the future outlook for AI in the agricultural sector has been overviewed.

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Keywords: Artificial Intelligence, Agriculture, Machine Learning, Data Analysis.