Artificial Intelligence (AI) has emerged as a focal point for researchers and industry experts, continuously redefined by technological advancements. AI encompasses the development of machines impersonating human cognitive processes, such as learning, reasoning, and self-correction. Its wide-ranging applications across industries have showcased its increasing precision and efficiency, and Agriculture has also embraced AI to increase income and efficiency. In this regard a literature review to comprehensively understand the concept, existing research, and projects related to AI in agriculture was performed. Moreover, this paper approaches the potential of AI in agriculture practically, addressing the emergence of new methods and practices, using a case study approach, and analyzing the perceptions of impacts of AI in agriculture, from experts, academics, and agriculture professionals regarding the application of AI. It contributes to real application development, offering insights that resonate within academic and practical dimensions.

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