Information Technologies and Artificial Intelligence in Smart Agriculture

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: 15 April 2026 | Viewed by 3

Special Issue Editors

College of Artificial Intelligence, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
Interests: agriculture information technology; machine learning; MIMO; index modulation and signal processing for data transmission

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Guest Editor
College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China
Interests: agriculture information technology; artificial intelligence; underwater acoustic communication; networking

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Guest Editor
School of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China
Interests: wireless and molecular communications; machine learning; index modulation

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Guest Editor
Research Center of Intelligent Communication Engineering, School of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China
Interests: molecular communications; wireless communications
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Guest Editor
School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510640, China
Interests: index modulation; OTFS; OFDM; non-orthogonal multiple access; mobile edge computing; physical-layer security
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Special Issue Information

Dear Colleagues,

Agriculture is a highly uncertain and complex field due to the changes in environmental factors during the farming processes. With the rapid development of information technologies and artificial intelligence (AI), agriculture is undergoing a significant revolution from traditional agriculture to smart agriculture. In recent years, AI, Internet of Things (IoT), wireless communication, cloud computing, machine learning, big data and other innovative information technologies are accelerating the development of smart agriculture, which greatly reduce the cost of various kinds of data acquisition in agricultural scenarios and accelerate the popularization and development of smart agriculture, also promoting the use of robotics in agriculture.

AI is making a huge impact on all industries through its perception, reasoning and learning capabilities. With the aid of IoT and sensors, many long-lasting challenges in agriculture that might be better resolved by the integration of AI, such as animal/crop growth monitoring, pest and disease identification and control, farming management, quality evaluation, etc. In the future, for plant production or poultry farming, AI and robotics can be deeply integrated into processes to develop intelligent agricultural systems and unmanned farms.

This Special Issue aims to explore the frontiers of the groundbreaking advances, real-world applications, and critical challenges. Applications of information technologies and AI in smart agriculture. By encouraging interdisciplinary research and collaboration, research areas may include (but are not limited to) the following:

  • AI-driven smart farming
  • Internet of Things (IoT)
  • Machine learning in intelligent decision
  • Sensors networks in agriculture
  • Wireless data transmission
  • Big data and data mining
  • Data security in transmission
  • Data-driven decision making in agriculture
  • Application analysis

Dr. Zeng Hu
Dr. Mingyue Cheng
Dr. Xuan Chen
Dr. Yu Huang
Prof. Dr. Miaowen Wen
Guest Editors

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Keywords

  • artificial intelligence (AI)
  • Internet of Things (IoT)
  • machine learning
  • smart agriculture
  • sensors networks
  • wireless communication

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