Applications of Communication Technologies in Agriculture: IoT, Machine Learning, and Big Data
A special issue of Telecom (ISSN 2673-4001).
Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 8829
Special Issue Editors
Interests: antenna design; microwave components design; wireless communications; evolutionary algorithms; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: antenna radiation patterns; antenna phased arrays; array signal processing; antenna arrays
Special Issues, Collections and Topics in MDPI journals
Interests: mobile and wireless communication systems; channel characterization and propagation models; performance modeling of wireless networks; opportunistic mobile networks; cooperative communications; satellite and aerial networks
Special Issues, Collections and Topics in MDPI journals
Interests: Internet of Things (IoT); edge computing; machine learning; computer vision; cyber physical systems; future Internet architecture and smart-energy
Special Issues, Collections and Topics in MDPI journals
Interests: wireless sensor networks; Internet of Things; broadband communications; non-ionizing radiation protection; broadband fiber-optic networks; antenna design and optimization; 5G communication networks; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The world of agriculture is undergoing a profound transformation. Applications of emerging communications in the agricultural industry are continuously developing. Smart agriculture has the ability to deliver a new era of innovative cultivation systems that will be based on a combination of new information and communication technologies. In order to do so, several technological challenges have to be met. New types of sensors, the Internet of Things (IoT), machine learning (ML), and big data analysis (BDA) will help farmers to sustainably and profitably manage their holdings. We invite researchers to contribute original papers describing applications and systems on the emerging trends of communication technologies for addressing various issues in the agricultural domain.
Potential topics include but are not limited to the following:
- IoT applications in agriculture;
- Cloud-, fog-, and edge-based systems in smart farming;
- Crop models and decision support systems in smart farming;
- Utilization of big data in sustainable agriculture;
- Big data innovation in sustainable agriculture;
- Machine learning for agricultural applications;
- Deep learning for agricultural applications;
- Communication technologies in smart agriculture;
- Smart irrigation systems for yield improvement;
- Use of robotics and IoT for cultivation processes automation;
- Use of IoT in forestry management;
- RF energy harvesting applications in agriculture;
- UAV/FANET for agricultural applications;
- Gamification in smart agriculture.
Prof. Sotirios K. Goudos
Prof. Paolo Rocca
Prof. Demosthenes Vouyioukas
Prof. Shaohua Wan
Dr. Achilles D. Boursianis
Guest Editors
Manuscript Submission Information
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Keywords
- smart agriculture
- IoT
- machine learning
- big data
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