Hyperspectral Imaging and Deep Learning for Quality and Safety Inspection of Fruits and Vegetables: A Review
Jiangsu University · University of Leeds · +1 more institution
Abstract
Quality inspection of fruits and vegetables linked to food safety monitoring and quality control. Traditional chemical analysis and physical measurement techniques are reliable, they are also time-consuming, costly, and susceptible to environmental and sample changes. Hyperspectral imaging technology combined with deep learning methods can effectively overcome these problems. Compared with human evaluation, automated inspection improves inspection efficiency, reduces subjective error, and promotes the intelligent and precise fruit and vegetable quality inspection. This paper reviews reports on the application of hyperspectral imaging technology combined to deep learning methods in various aspects of fruits and…
Citation impact
- FWCI
- 43.07
- Percentile
- 100%
- References
- 102
Authors
7Topics & keywords
- Hyperspectral imaging
- Quality (philosophy)
- Artificial intelligence
- Computer science
- Environmental science