Artificial Intelligence of Things (AIoT) for smart agriculture: A review of architectures, technologies and solutions

被引：27

作者：

Muhammed, Dalhatu ^{[1
]}

Ahvar, Ehsan ^{[2
]}

Ahvar, Shohreh ^{[2
]}

Trocan, Maria ^{[1
]}

Montpetit, Marie-Jose ^{[3
]}

Ehsani, Reza ^{[4
]}

机构：

[1] Inst Super Elect Paris ISEP, 10 Rue Vanves, F-92130 Issy Les Moulineaux, France

[2] Nokia, F-91300 Massy, France

[3] Iowa State Univ, Ames, IA USA

[4] Univ Calif Merced, Merced, CA USA

来源：

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS | 2024年 / 228卷

关键词：

Artificial Intelligence of Things; Smart agriculture; Internet of Things; Machine learning; Sensors; DEEP LEARNING APPROACH; NEXT-GENERATION; REFERENCE EVAPOTRANSPIRATION; PRECISION AGRICULTURE; BIG DATA; INTERNET; CHALLENGES; SECURITY; IOT; PRIVACY;

D O I：

10.1016/j.jnca.2024.103905

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：27

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