Work

Predicting Tea Quality Based on Antioxidant and Polyphenol Content Using Ensemble Machine Learning Model

Year: 2024

Type: conference-paper

Source: IEEE International Conference of Electron Devices Society Kolkata Chapter (EDKCON)

DOI: 10.1109/edkcon62339.2024.10870624

Authors: Pratyusha Chatterjee, Debajyoti Mitra, Tanima Bhowmik, Rosalin Nath, Kakoli Dutta, Arpan Deyasi

Institutions: University of Engineering & Management, RCC Institute of Information Technology, Maulana Abul Kalam Azad University of Technology, West Bengal

Language: English

Topic: Tea Polyphenols and Effects

Subfield: Pathology and Forensic Medicine

Field: Medicine

Domain: Health Sciences

SDG: Zero hunger

Open Access status: closed

OpenAlex ID: W4407475690

FWCI: 19.12

Cites: 22

Cited by: 2

Related to: 10