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
Interests: agriculture information technology; machine learning; MIMO; index modulation and signal processing for data transmission
Interests: agriculture information technology; artificial intelligence; underwater acoustic communication; networking
Interests: wireless and molecular communications; machine learning; index modulation
Interests: molecular communications; wireless communications
Special Issues, Collections and Topics in MDPI journals
Interests: index modulation; OTFS; OFDM; non-orthogonal multiple access; mobile edge computing; physical-layer security
Special Issues, Collections and Topics in MDPI journals
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
Manuscript Submission Information
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Keywords
- artificial intelligence (AI)
- Internet of Things (IoT)
- machine learning
- smart agriculture
- sensors networks
- wireless communication
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