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

Abstract

Abstract – 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 datadriven
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.