Applications of deep learning in tea quality monitoring: a review

Gorde:

Xehetasun bibliografikoak
Argitaratua izan da:	The Artificial Intelligence Review vol. 58, no. 11 (Nov 2025), p. 342
Egile nagusia:	Wu, Tao
Beste egile batzuk:	Zhou, Lei, Zhao, Yiying, Qi, Hengnian, Pu, Yuanyuan, Zhang, Chu, Liu, Yufei
Argitaratua:	Springer Nature B.V.
Gaiak:	Quality management Fermentation Quality assessment Deep learning Tea Artificial intelligence Electronic noses Neural networks Sensors Sensory perception State-of-the-art reviews Consumption Data processing Polyphenols Malware Computer vision Algorithms Chromatography Chemical composition Plant diseases Local economy Cultivation Models Evaluation Customers Consumers Learning Data Uptake
Sarrera elektronikoa:	Citation/Abstract Full Text Full Text - PDF
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Izan zaitez lehena ohar bat uzten!