Abstract

Traditional farming has been completely transformed by the application of Artificial Intelligence (AI) in agriculture, which makes precise techniques and data-driven decision-making possible. Artificial intelligence (AI) tools including robotics, computer vision, and machine learning aid in crop production forecasting, disease detection, irrigation optimization, and industrial automation. An outline of the current uses, most recent developments, and potential future applications of AI in agriculture is provided in this mini review. In order to close the technology gap in rural farming communities, the study also identifies important implementation obstacles and offers solutions. All things considered, artificial intelligence holds promise as a tool to improve the productivity, sustainability, and efficiency of agriculture. This review highlights not only the technological progress but also the practical relevance of AI adoption in farming. It emphasizes that future agricultural growth will largely depend on how effectively AI innovations are made accessible to small and marginal farmers.

Keywords: Artificial intelligence; Precision agriculture; Disease detection; Crop monitoring