Innovative integration of computer vision, IoT, and digital twin in food quality and safety assessment
Year: 2025
Type: article
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Funders: National Natural Science Foundation of China, Natural Science Foundation of Hubei Province, Chinese Academy of Agricultural Sciences, Agricultural Science and Technology Innovation Program, Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences
OpenAlex ID: W4412453368
