We use a few cookies

Essential cookies keep the library working. With your permission, we'd also like to use analytics to see what's useful and improve the experience. Read our Privacy Policy or Cookie Policy.

Skip to main content
Home/e-Resources/Artificial Intelligence & Machine Learning/Review of agricultural IoT technology
PeriodicalsArtificial Intelligence & Machine Learning

Review of agricultural IoT technology

Checking your access to this record.

Abstract & Overview

Agricultural Internet of Things (IoT) has brought new changes to agricultural production. It not only increases agricultural output but can also effectively improve the quality of agricultural products, reduce labor costs, increase farmers' income, and truly realize agricultural modernization and intelligence. This paper systematically summarizes the research status of agricultural IoT. Firstly, the current situation of agricultural IoT is illustrated and its system architecture is summarized. Then, the five key technologies of agricultural IoT are discussed in detail. Next, applications of agricultural IoT in five representative fields are introduced. Finally, the problems existing in agricultural IoT are analyzed and a forecast is given of the future development of agricultural IoT.

Cite this record

Jinyuan Xu, Baoxing Gu, Guangzhao Tian (2022). Review of agricultural IoT technology. Artificial Intelligence in Agriculture, 6, 10–22. https://doi.org/10.1016/j.aiia.2022.01.001

Copy in another style

Xu, J., Gu, B., & Tian, G. (2022). Review of agricultural IoT technology. Artificial Intelligence in Agriculture, 6, 10–22. https://doi.org/10.1016/j.aiia.2022.01.001
Author names are used as deposited, so check their order before you submit.

Metadata is harvested from open-access indexes and can be incomplete. Check a citation against the published version before relying on it — see our open access & attribution policy.