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Hyperspectral Imaging Technology in Food and Agriculture

  • Bosoon Park
  • Renfu Lu

Part of the Food Engineering Series book series (FSES)

Table of contents

  1. Front Matter
    Pages i-x
  2. Image and Spectral Analysis Techniques

    1. Front Matter
      Pages 1-1
    2. Renfu Lu, Bosoon Park
      Pages 3-7
    3. Fernando Mendoza, Renfu Lu
      Pages 9-56
    4. Stephen R. Delwiche
      Pages 57-79
    5. Seung-Chul Yoon, Bosoon Park
      Pages 81-101
    6. James E. Burger, Aoife A. Gowen
      Pages 103-124
  3. Applications

    1. Front Matter
      Pages 125-125
    2. Haibo Yao, Zuzana Hruska, Robert L. Brown, Deepak Bhatnagar, Thomas E. Cleveland
      Pages 127-172
    3. Seung-Chul Yoon
      Pages 173-201
    4. Renfu Lu, Haiyan Cen
      Pages 203-226
    5. Jasper G. Tallada, Pepito M. Bato, Bim P. Shrestha, Taichi Kobayashi, Masateru Nagata
      Pages 227-249
    6. Govindarajan Konda Naganathan, Kim Cluff, Ashok Samal, Chris Calkins, Jeyamkondan Subbiah
      Pages 251-273
    7. Won Suk Lee
      Pages 275-288
    8. Bosoon Park, Seung-Chul Yoon
      Pages 305-329
    9. Changying Li, Weilin Wang
      Pages 331-357
  4. Back Matter
    Pages 391-403

About this book

Introduction

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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Keywords

Hyperspectral Imaging Technology Image Processing Imaging Spectroscopy Process Control Quality Evaluation

Editors and affiliations

  • Bosoon Park
    • 1
  • Renfu Lu
    • 2
  1. 1.Agricultural Research ServiceU.S. Department of AgricultureAthensUSA
  2. 2.Agricultural Research ServiceU.S. Department of AgricultureEast LansingUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-2836-1
  • Copyright Information Springer Science+Business Media New York 2015
  • Publisher Name Springer, New York, NY
  • eBook Packages Chemistry and Materials Science
  • Print ISBN 978-1-4939-2835-4
  • Online ISBN 978-1-4939-2836-1
  • Series Print ISSN 1571-0297
  • Buy this book on publisher's site