This research area promotes the application of digital data and tools, automation and robotics to improve the efficiency of crop production and processing.
The focus areas include:
- Sensors and mechatronics
- Application of Machine Vision, IoT, AI (including Machine Learning, Deep Learning and Reinforced Deep Learning) in Agriculture and processing
- Automation and robotics in cultivation, weed control, harvesting, post-harvest and processing (sorting, storage, etc)
- Web-based farming