Advanced Optical Imaging and Sensing Techniques for Smart Farming and Food Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Food Science and Technology".
Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 399
Special Issue Editor
Interests: hyperspectral imaging; spectral imaging; real-time machine vision; non-destructive sensing; artificial intelligence; big image data
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Innovations for smart production and processing in the agriculture and food industries have been based in part on technical advancements in optical sensors and imaging devices for measurements of soil, water, light, humidity, temperature, location, distance, visual patterns, etc. in conjunction with network (connectivity via internet, wifi, Bluetooth, etc.), drones for remote sensing and monitoring, robotics for automation, and computing resources (efficient and effective algorithms including big data analytics, machine learning, and artificial intelligence). Especially, the techniques for optical measurements of raw agricultural materials and foods have been advanced in recent years to the point where the conventional assessments and monitoring for farming and food processing are becoming more digital and intelligent. Optical sensors and imaging devices can measure various optical phenomena such as reflectance, absorbance, and scattering from the interaction of a material with light. When combined with advanced data analytics such as machine learning and artificial intelligence, the analysis of the measured optical signals can become smarter. We invite researchers to contribute original research articles or critical survey/review articles highlighting the needs for smart farming and food processing with optical signal measurement and analysis. Potential topics in the area of optical imaging and sensing include, but are not limited to innovative techniques and instrument designs for optical imaging or sensing, novel data analysis methods, agriculture and food monitoring, detection and characterization of quality and safety attributes in agricultural and food products, high throughput sensing, and autonomous system.
Dr. Seung-Chul YoonGuest Editor
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Keywords
- Optical imaging
- Optical sensing
- Smart farming
- Smart agriculture
- Agriculture 4.0
- Smart food processing
- Optical sensors
- Spectral imaging
- Robots
- AI system
- Food quality
- Food safety
- Precision agriculture
- Drones
