Exploring the Integration of Artificial Intelligence with IoT in Smart Farming: A Systematic Review

This study examines the integration of artificial intelligence (AI) and the Internet of Things (IoT) in smart
farming through a systematic literature review. This research focuses on the application of AI, the AIoT
architecture, the datasets used, and the problems solved by this technology. The main problems faced are the complexity of technology integration and the limitations of infrastructure in implementation in the field. The purpose of the research is to provide a comprehensive understanding of the advancements and challenges of AIoT technology in the agricultural sector. The method used follows the guidance of Kitchenham (2007) by reviewing the latest relevant literature. The results show that AIoT has great potential in improving the efficiency and sustainability of the agricultural sector through efficient data management and data- driven decision-making.
However, the success of the implementation of this technology is highly dependent on the availability of quality datasets and the adaptability of the technology at scale. This research provides practical recommendations for the development and application of AIoT in various smart agriculture scenarios in the future.