Logo
Please use this identifier to cite or link to this item: https://irju.jdvu.ac.in/jspui/handle/123456789/10615
Title: Quality evaluation of tea using chemical sensors and NIR spectroscopy: machine learning approach
Authors: Modak, Angiras
Advisors: Banerjee Roy, Runu, guide
Keywords: Black tea quality;MIP electrochemical sensor;NIR Spectroscopy;Machine Learning;Deep Learning
Issue Date: 2026
Publisher: Jadavpur University, Kolkata, West Bengal
Description: Supervisor(s): Banerjee Roy, Runu (Dept. of Instrumentation and Electronics Engineering, J.U.)
Awarded year: 2026
URI: https://irju.jdvu.ac.in/jspui/handle/123456789/10615
Appears in Collections:2026 (Awarded Year)

Files in This Item:
File Description SizeFormat 
PhD Thesis (IEE) Angiras Modak.pdf4.42 MBAdobe PDFView/Open
Synopsis Angiras Modak.pdf376.54 kBAdobe PDFView/Open
Abstract Angiras Modak.pdf365.72 kBAdobe PDFView/Open


Items in IR@JU are protected by copyright, with all rights reserved, unless otherwise indicated.