Editorial Board for section 'Cross Data'
- Biosensors Section
- Chemical Sensors Section
- Physical Sensors Section
- Intelligent Sensors Section
- Sensor Networks Section
- Remote Sensors Section
- Optical Sensors Section
- Electronic Sensors Section
- Sensor Materials Section
- Internet of Things Section
- Biomedical Sensors Section
- Communications Section
- Fault Diagnosis & Sensors Section
- Wearables Section
- Nanosensors Section
- Sensing and Imaging Section
- Sensors and Robotics Section
- Vehicular Sensing Section
- Radar Sensors Section
- Navigation and Positioning Section
- Smart Agriculture Section
- Environmental Sensing Section
- Industrial Sensors Section
- Sensors Development Section
- Cross Data Section
Please see the section webpage for more information on this section.
Please note that the order in which the Editors appear on this page is alphabetical, and follows the structure of the editorial board presented on the MDPI website under information for editors: editorial board responsibilities.
Members
1. College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, China
2. School of Engineering, College of Science, University of Lincoln, Lincoln LN6 7TS, UK
Interests: Internet of Things; sensor networks; green computing; cloud and fog computing; fault diagnosis; wireless sensor networks; multimedia communication; middleware; security
* Section: Cross Data
Special Issues, Collections and Topics in MDPI journals
2. School of Engineering, College of Science, University of Lincoln, Lincoln LN6 7TS, UK
Interests: Internet of Things; sensor networks; green computing; cloud and fog computing; fault diagnosis; wireless sensor networks; multimedia communication; middleware; security
* Section: Cross Data
Special Issues, Collections and Topics in MDPI journals
College of Engineering, China Agricultural University, Beijing 100083, China
Interests: smart urban agriculture; artificial intelligence; agricultural robotics; automated control; unmanned aerial vehicle; plant phenotyping; computer vision; crop plant signaling; machine (deep) learning; food processing and safety; fluorescence imaging; hyper/multispectral imaging; Vis/NIR/MIR imaging spectroscopy
Special Issues, Collections and Topics in MDPI journals
Interests: smart urban agriculture; artificial intelligence; agricultural robotics; automated control; unmanned aerial vehicle; plant phenotyping; computer vision; crop plant signaling; machine (deep) learning; food processing and safety; fluorescence imaging; hyper/multispectral imaging; Vis/NIR/MIR imaging spectroscopy
Special Issues, Collections and Topics in MDPI journals
