Performance of vision transformer and swin transformer models for lemon quality classification in fruit juice factories

Assessing the quality of agricultural products holds vital significance in enhancing production efficiency and market viability. The adoption of artificial intelligence (AI) has notably surged for this purpose, employing deep learning and machine learning techniques to process and classify agricultu...

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Veröffentlicht in:	European food research & technology 2024-09, Vol.250 (9), p.2291-2302
Hauptverfasser:	Dümen, Sezer, Kavalcı Yılmaz, Esra, Adem, Kemal, Avaroglu, Erdinç
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Agricultural production Agricultural products Agriculture Analytical Chemistry Artificial intelligence Biotechnology Chemistry Chemistry and Materials Science Classification Computer engineering data collection Datasets Deep learning Discriminant analysis Disease economic sustainability Efficiency Food Science Forestry Fruit juices Image enhancement Image quality Lemons Machine learning Original Paper Quality assessment Quality control Rescaling Success vision
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