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Hyperspectral Imaging Technology in Food and Agriculture

ISBN-13: 9781493928354 / Angielski / Twarda / 2015 / 403 str.

Bosoon Park; Renfu Lu; Yang Liu
Hyperspectral Imaging Technology in Food and Agriculture Bosoon Park Renfu Lu Yang Liu 9781493928354 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Hyperspectral Imaging Technology in Food and Agriculture

ISBN-13: 9781493928354 / Angielski / Twarda / 2015 / 403 str.

Bosoon Park; Renfu Lu; Yang Liu
cena 645,58
(netto: 614,84 VAT:  5%)

Najniższa cena z 30 dni: 616,85
Termin realizacji zamówienia:
ok. 22 dni roboczych
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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.

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Food Science - General
Wydawca:
Springer
Seria wydawnicza:
Food Engineering
Język:
Angielski
ISBN-13:
9781493928354
Rok wydania:
2015
Wydanie:
2015
Numer serii:
000156611
Ilość stron:
403
Waga:
0.95 kg
Wymiary:
24.16 x 15.9 x 2.77
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Bibliografia
Wydanie ilustrowane

Introduction to Image and Spectral Analysis Techniques.- Basics of Image Analysis.- Basics of Spectroscopic Analysis.- Hyperspectral Image Processing Methods.- Classification and Prediction Methods.- Safety Inspection of Plant Products.- Food Pathogen Detection.- Food Optical Property Characterization.- Quality Evaluations of Animal Products.- Plant Health Detection and Monitoring.- Precision Agriculture.- Real-time Hyperspectral Imaging.- LCTF Hyperspectral Imaging for Vegetable Quality Evaluation.- AOTF Hyperspectral Imaging for Foodborne Pathogen Detection.

Yang Liu wurde 1976 in Beijing geboren. Im Alter von 13 Jahren zog sie mit ihrer Familie nach Deutschland.
Mit 17 Jahren wurde sie na der Universität der Künste in Berlin aufgenommen. Nach ihrem Studium arbeitete sie als Designerin in Singapur, London, berlin und New York. 2004 gründete sie ihr eigenes Design Studio. neben Workshops und Vorträgen auf internationalen Konferenzen lehrte sie an der Central Academy of Fine Art in Beijing un der Glasgow School of Art.
Ihre Arbeiten wurden in internationalen Wettbewerben mehrfach prämiert. Sie sind weltweit in Museen ausgestellt und in Sammlungen aufgenommen worden.

Hyperspectral imaging, as an emerging technology, acquires and analyzes a large amount of spectral and spatial information from a real scene in the form of three-dimensional images. The technology offers unprecedented capabilities, compared to conventional imaging and spectroscopy, for a wide range of applications from satellite remote sensing to biomedical imaging and to product quality and safety inspection. Image processing and analysis is thus at the core of the technology. With rapid developments both in hardware and software in recent years and increased demands for better quality and safer food products, we have witnessed expanding R&D activities and applications of hyperspectral imaging technology in objective, rapid, non-destructive and automated safety inspection and quality control for a variety of food and agricultural products and production.

Hyperspectral Imaging Technology in Food and Agriculture is focused on major recent advances in research and applications of hyperspectral imaging technology in food and agriculture. The book begins with the fundamentals of the technology, followed by a comprehensive coverage of food quality and safety evaluation in meats, fruits, vegetables, grains and other foods, as well as remote sensing for crop production. This book is written by international peers who have academic and professional credentials, with each chapter addressing a particular topic or specific application of the technology. The book provides the engineer and technologist working in the food and agricultural industry with critical, comprehensive and readily accessible information on hyperspectral imaging technology. It also serves as an essential reference source to undergraduate and postgraduate students and researchers in universities and research institutions.

 

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