Abstract
The Artificial Intelligence of Things (AIoT), a combination of the Internet of Things (IoT) and Artificial Intelligence (AI), plays an increasingly important role in smart agriculture (SA). AIoT has been adopted in many applications including agriculture, such as crop yield estimation, soil and water conservation, pest and disease detection and supply chain management. While there are plenty of studies on AIoT applications in healthcare, smart cities, manufacturing, and transportation, SA still has a small share of the reported research. This paper presents a comprehensive review of the existing literature in AIoT and Federated Learning (FL) for SA. It identifies current and potential challenges and provides research direction for the future investment in both academia and industry.
Published in: https://www.sciencedirect.com/science/article/pii/S1084804524000821?via%3Dihub
Figure: Relation (overlap) between AIoT and SA.
•We finally identify challenges of using AIoT for SA and provide research direction for the future.
•We first review AIoT applications, architectures and technologies.
•We collate, review and analyze the existing AIoT-based solutions for SA.
•We collate, review and analyze the existing architectures using AIoT for SA.
•We collate, review and analyze the AIoT technologies have been used for SA.
