£119.75

Academic Press Spectroscopy and Machine Learning Tools Book

Name: Academic Press Spectroscopy and Machine Learning Tools Book
Brand: Academic Press
Price: 119.75 GBP
Availability: InStock

Microbiology

About as cheap as it gets. The only time it was cheaper was 2 months ago.

£120 today · all-time low £120 (Mar 2026) · usually the usual

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Description

Explore the intersection of advanced technology and food science with Spectroscopy and Machine Learning Tools for Food Quality and Safety. This academic resource, published by Academic Press, serves as Volume 115 in the Advances in Food and Nutrition Research series. This volume provides specialized knowledge for professionals and students working within biological sciences and microbiology. It focuses on the application of spectroscopy and machine learning techniques to address modern challenges in food safety and quality control. By integrating these technological tools, the text supports research and practical applications in maintaining high standards in food production and nutrition. This book is an essential addition to any academic or professional library dedicated to the study of food science and the evolving role of data-driven methodologies in the field.

Key Features

Part of the Advances in Food and Nutrition Research series, specifically Volume 115.

Published by Academic Press, a recognized name in academic and scientific literature.

Focuses on the application of spectroscopy and machine learning in food science.

Provides resources for subjects including microbiology and biological sciences.

Designed for professional and academic use in food quality and safety research.

Product Specifications

Brand: Academic Press
Format: hardcover
ASIN: 0443345937
Category: Books > Subjects > Science, Nature & Maths > Biological Sciences > Microbiology
Domain: Amazon UK
Release Date: 01 August 2025
Listed Since: 10 January 2025

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Academic Press Spectroscopy and Machine Learning Tools Book

About as cheap as it gets. The only time it was cheaper was 2 months ago.

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