Prediction of starch content in adulterated fresh cheese using Partial Least Squares Regression, Multiple Linear Regression and Hyperspectral Imaging | Zendy

AI Assistant Blog Pricing

Open Access

Prediction of starch content in adulterated fresh cheese using Partial Least Squares Regression, Multiple Linear Regression and Hyperspectral Imaging

Author(s) -

Greta Tejada,

Cinthya Velasquez,

Víctor Aredo,

J.P. CruzTirado,

Raúl Siché

Publication year - 2021

Publication title -

journal of agro-industry sciences

Language(s) - English

Resource type - Journals

ISSN - 2707-7373

DOI - 10.17268/jais.2021.002

Subject(s) - mathematics , partial least squares regression , linear regression , statistics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom

About

About Careers Publisher Partners Contact Us Get Organisational Trial or Quote

Learn

FAQs Blog Terms of Use Privacy Policy

Download the Zendy App

Download on the

Discover

Explore

Copyright Knowledge E © 2026. All Rights Reserved.