Hyperspectral Imaging Technology in Food and Agriculture
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 conventiona
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Bosoon Park Renfu Lu Editors
Hyperspectral Imaging Technology in Food and Agriculture
Food Engineering Series Series Editor Gustavo V. Barbosa-Ca´novas, Washington State University, USA
Advisory Board Jose´ Miguel Aguilera, Catholic University, Chile Kezban Cando gan, Ankara University, Turkey Richard W. Hartel, University of Wisconsin, USA Albert Ibarz, University of Lleida, Spain Jozef Kokini, Purdue University, USA Michael McCarthy, University of California, USA Keshavan Niranjan, University of Reading, United Kingdom Micha Peleg, University of Massachusetts, USA Shafiur Rahman, Sultan Qaboos University, Oman M. Anandha Rao, Cornell University, USA Yrj€ o Roos, University College Cork, Ireland Jorge Welti-Chanes, Monterrey Institute of Technology, Mexico
Springer’s Food Engineering Series is essential to the Food Engineering profession, providing exceptional texts in areas that are necessary for the understanding and development of this constantly evolving discipline. The titles are primarily reference-oriented, targeted to a wide audience including food, mechanical, chemical, and electrical engineers, as well as food scientists and technologists working in the food industry, academia, regulatory industry, or in the design of food manufacturing plants or specialized equipment.
More information about this series at http://www.springer.com/series/5996
Bosoon Park • Renfu Lu Editors
Hyperspectral Imaging Technology in Food and Agriculture
Editors Bosoon Park U.S. Department of Agriculture Agricultural Research Service Athens, GA, USA
Renfu Lu U.S. Department of Agriculture Agricultural Research Service East Lansing, MI, USA
ISSN 1571-0297 Food Engineering Series ISBN 978-1-4939-2835-4 ISBN 978-1-4939-2836-1 DOI 10.1007/978-1-4939-2836-1
(eBook)
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