“Summarize the application foundation and development direction of artificial intelligence in quality agriculture, systematically summarize the research progress of intelligent detection and quality assurance of agricultural products, and focus on technologies such as machine vision, near-infrared hyperspectral, Raman surface enhanced Raman, electronic nose and electronic tongue, mass spectrometry, flexible sensing, Internet of Things, and knowledge graph. Summarize their applications in appearance grading, intrinsic quality, nutritional function, hazard screening, authenticity traceability, storage and processing monitoring, and standardization supervision, providing solutions to solve the problem of agricultural product quality assurance.”