機器學習與機器視覺實驗室
October 29th (Tue.)
Shin-Yi Lecture Hall, NTU
Taipei, Taiwan
Byoung-Kwan Cho
The Role of Digital Technologies in Transitioning Food and Agricultural Systems to a Circular Bioeconomy
University of Illinois at Urbana-Champaign
Crop Monitoring Using AI Technology on UAV Images
National Chung Hsing University
Advancing Sustainable Food Production Through AI-driven High-throughput Field Phenotyping
The University of Tokyo
Non-destructive Detection for the Early Drought Stress Status of Tomato (Solanum lycopersicum) by Spectroscopy and Deep Learning
Taiwan Agricultural Research Institute
Phenotyping Strategies for Agricultural Robots: Massive Sampling and Real-time Fruit Assessment
Polytechnic University of Valencia
AI-Powered Imaging and Spectral Techniques: From Crop Growth Monitoring to Flavor Analysis
National Taiwan University
Smart Agriculture, The Needs, Challenges and Approaches
Washington State University
Application of Image Texture Feature Distribution on Agriculture Field Type Classification
