Hyperspectral Imaging Technology in Food and Agriculture

Nonfiction, Science & Nature, Technology, Food Industry & Science
Cover of the book Hyperspectral Imaging Technology in Food and Agriculture by , Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781493928361
Publisher: Springer New York Publication: September 29, 2015
Imprint: Springer Language: English
Author:
ISBN: 9781493928361
Publisher: Springer New York
Publication: September 29, 2015
Imprint: Springer
Language: English

Hyperspectral imaging or imaging spectroscopy is a novel technology for acquiring and analysing an image of a real scene by computers and other devices in order to obtain quantitative information for quality evaluation and process control. Image processing and analysis is the core technique in computer vision. With the continuous development in hardware and software for image processing and analysis, the application of hyperspectral imaging has been extended to the safety and quality evaluation of meat and produce. Especially in recent years, hyperspectral imaging has attracted much research and development attention, as a result rapid scientific and technological advances have increasingly taken place in food and agriculture, especially on safety and quality inspection, classification and evaluation of a wide range of food products, illustrating the great advantages of using the technology for objective, rapid, non-destructive and automated safety inspection as well as quality control. Therefore, as the first reference book in the area, Hyperspectral Imaging Technology in Food and Agriculture focuses on these recent advances. The book is divided into three parts, which begins with an outline of the fundamentals of the technology, followed by full covering of the application in the most researched areas of meats, fruits, vegetables, grains and other foods, which mostly covers food safety and quality as well as remote sensing applicable for crop production. Hyperspectral Imaging Technology in Food and Agriculture is written by international peers who have both academic and professional credentials, with each chapter addressing in detail one aspect of the relevant technology, thus highlighting the truly international nature of the work. Therefore the book should provide the engineer and technologist working in research, development, and operations in the food and agricultural industry with critical, comprehensive and readily accessible information on the art and science of hyperspectral imaging technology. It should also serve as an essential reference source to undergraduate and postgraduate students and researchers in universities and research institutions.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Hyperspectral imaging or imaging spectroscopy is a novel technology for acquiring and analysing an image of a real scene by computers and other devices in order to obtain quantitative information for quality evaluation and process control. Image processing and analysis is the core technique in computer vision. With the continuous development in hardware and software for image processing and analysis, the application of hyperspectral imaging has been extended to the safety and quality evaluation of meat and produce. Especially in recent years, hyperspectral imaging has attracted much research and development attention, as a result rapid scientific and technological advances have increasingly taken place in food and agriculture, especially on safety and quality inspection, classification and evaluation of a wide range of food products, illustrating the great advantages of using the technology for objective, rapid, non-destructive and automated safety inspection as well as quality control. Therefore, as the first reference book in the area, Hyperspectral Imaging Technology in Food and Agriculture focuses on these recent advances. The book is divided into three parts, which begins with an outline of the fundamentals of the technology, followed by full covering of the application in the most researched areas of meats, fruits, vegetables, grains and other foods, which mostly covers food safety and quality as well as remote sensing applicable for crop production. Hyperspectral Imaging Technology in Food and Agriculture is written by international peers who have both academic and professional credentials, with each chapter addressing in detail one aspect of the relevant technology, thus highlighting the truly international nature of the work. Therefore the book should provide the engineer and technologist working in research, development, and operations in the food and agricultural industry with critical, comprehensive and readily accessible information on the art and science of hyperspectral imaging technology. It should also serve as an essential reference source to undergraduate and postgraduate students and researchers in universities and research institutions.

More books from Springer New York

Cover of the book Neurobiology of Interval Timing by
Cover of the book Linear Mixed-Effects Models Using R by
Cover of the book The Political Economy of Regulation in Turkey by
Cover of the book Vaccines: A Biography by
Cover of the book Reform Processes and Policy Change by
Cover of the book Ultrasound of the Thyroid and Parathyroid Glands by
Cover of the book Attitudes and Behavioral Decisions by
Cover of the book Chronobiology and Obesity by
Cover of the book Parental Involvement in Childhood Education by
Cover of the book Global and Regional Geodynamics by
Cover of the book The Witness Stand and Lawrence S. Wrightsman, Jr. by
Cover of the book The Beginnings of Scholarly Economic Journalism by
Cover of the book Management of Castration Resistant Prostate Cancer by
Cover of the book Nitroazoles: Synthesis, Structure and Applications by
Cover of the book Landscape Ecology in Theory and Practice by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy