機器學習與機器視覺實驗室
October 6th (Tue.)
Shin-Yi Lecture Hall, NTU
Taipei, Taiwan
Agricultural Field Machinery Advances for Improved Productivity, Quality, and Sustainability
University of Florida
From Observation to Decision-Making: Improving Crop Management Using Drones and Hyperspectral Imaging
Taiwan Agricultural Research Institute, Ministry of Agriculture
Artificial intelligence and robotics for monitoring crop status
Agricultural University of Athens
Advances in Smart Greenhouse Floriculture Systems: Insights from Phalaenopsis Production
Floral Industry Innovation Center, Ministry of Agriculture
A Study on the Latest Research Cases of Smart Agri-Food in South Korea (Computer vision & AI applications in post-harvest process and agriculture)
Seoul National University
Integrating Hyperspectral Imaging and AI for Real-time Food Defect Inspection
National Yunlin University of Science and Technology
Shedding light on palatability: Spectroscopic methods for non-destructive analysis of food and agricultural products
University of Tsukuba
Application of Spectral Imaging for Inspection of Food Quality and Safety
Taipei Medical University
