Organic vs. non-organic: accurate fruit classification leveraging visible and thermal imaging with deep and traditional methods

Key Points

• Accurate classification of organic and non-organic fruits enhances market value and consumer trust.
• Visible imaging and thermal imaging combined yield results with an accuracy of over 90%.
• Analysis utilizes deep learning and traditional methods for classification in a variety of fruit types.
• Implications for improved agricultural practices may enable better consumer awareness of food origins.