Editors: Jiangbo Li, Zhao Zhang

Nondestructive Evaluation of Agro-products by Intelligent Sensing Techniques

eBook: US $79 Special Offer (PDF + Printed Copy): US $145
Printed Copy: US $105
Library License: US $316
ISBN: 978-981-14-8578-7 (Print)
ISBN: 978-981-14-8580-0 (Online)
Year of Publication: 2021
DOI: 10.2174/97898114858001210101

Introduction

With rapid progress being made in both theory and practical applications, Artificial Intelligence (AI) is transforming every aspect of life and leading the world towards a sustainable future. AI technology is fundamentally and radically affecting agriculture with a move towards smart systems. The outcome of this transition is improved efficiency, reduced environmental pollution, and enhanced productivity of crops.

Nondestructive Evaluation of Agro-products by Intelligent Sensing Techniques is a reference which provides readers timely updates in the progress of intelligent sensing techniques used for nondestructive evaluation of agro-products. Chapters, each contributed by experts in food safety and technology, describe existing and innovative techniques that could be or have been applied to agro-products quality and safety evaluation, processing, harvest, traceability, and so on. The book includes 11 individual chapters, with each chapter focusing on a specific aspect of intelligent sensing techniques applied in agriculture. Specifically, the first chapter introduces the reader to representative techniques and methods for nondestructive evaluation. Subsequent chapters present detailed information about the processing and quality evaluation of agro-products (e.g., fruits, and vegetables), food grading, food tracing, and the use of robots for harvesting specialty crops.

Key Features:

- 11 chapters, contributed by experts that cover basic and applied research in agriculture

- introduces readers to nondestructive evaluation techniques

- covers food quality evaluation processes

- covers food grading and traceability systems

- covers frontier topics that represent future trends (robots and UAVs used in agriculture)

- familiarizes the readers with several intelligent sensing technologies used in the agricultural sector (including machine vision, near-infrared spectroscopy, hyperspectral/multispectral imaging, bio-sensing, multi-technology fusion detection)

- provides bibliographic references for further reading

- gives applied examples on both common and specialty crops

This reference is intended as a source of updated information for consultants, students and academicians involved in agriculture, crops science and food biotechnology. Professionals involved in food safety and security planning and policymaking will also benefit from the information presented by the authors.

Contributors

Editor(s):
Jiangbo Li
Beijing Research Center of Intelligent Equipment for Agriculture
Beijing Academy of Agriculture and Forestry Sciences
Beijing
China


Zhao Zhang
Department of Agricultural and Biosystems Engineering
North Dakota State University
North Dakota
USA




Contributor(s):
Aichen Wang
School of Agricultural Engineering
Jiangsu University
Zhenjiang 212013, Jiangsu
PR China


Brian J. Steffenson
Department of Plant Pathology
University of Minnesota
Saint Paul, MN55108
USA


Byoung-Kwan Cho
Department of Biosystems Machinery Engineering College of Agricultural and Life Science
Chungnam National University
99 Daehak-ro, Yuseoung-gu, Daejeon 34134
Republic of Korea


Ce Yang
Department of Bioproducts and Biosystems Engineering
University of Minnesota
Saint Paul,MN 55108
USA


Cory D. Hirsch
Department of Plant Pathology
University of Minnesota
Saint Paul, MN55108
USA


Devrim Ünay
Electrical-Electronics Engineering
Faculty of Engineering, İzmir Demokrasi University
İzmir
Turkey


Dong Hu
School of Engineering
Zhejiang A&F University
Hangzhou 311300
China


Fangfang Gao
College of Mechanical and Electronic Engineering
Northwest A&F University
Yangling 712100
China


Feifei Tao
Geosystems Research Institute
Mississippi State University
Stennis SpaceCenter, Hancock, MS 39529
USA


Haibo Yao
Geosystems Research Institute
Mississippi State University
Stennis SpaceCenter, Hancock, MS 39529
USA


Insuck Baek
Environmental Microbial and Food Safety Laboratory
Agricultural Research Service, U.S. Department of Agriculture
Powder Mill Rd. Bldg. 303, BARC-East, Beltsville, MD 20705
USA


Jiangbo Li
Beijing Research Center of Intelligent Equipment for Agriculture
Beijing Academy of Agriculture and Forestry Sciences
Beijing
China


Jianwei Qin
Environmental Microbial and Food Safety Laboratory
Agricultural Research Service, U.S. Department of Agriculture
Powder Mill Rd. Bldg. 303, BARC-East, Beltsville, MD 20705
USA


Kanniah Rajasekaran
USDA-ARS
Southern Regional Research Center
New Orleans, LA 70124
USA


Lin Zhang
College of Biosystems Engineering and Food Science
Zhejiang University
Hangzhou, 310058
China


Longsheng Fu
College of Mechanical and Electronic Engineering
Northwest A&F University
Yangling 712100
China
/
Key Laboratory of Agricultural Internet of Things
Ministry of Agriculture and Rural Affairs
Yangling 712100
China
/
Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service
Yangling 712100
China
/
Centre for Precision and Automated Agricultural Systems
Washington State University
Prosser, WA 99350
USA


Moon S. Kim
Environmental Microbial and Food Safety Laboratory
Agricultural Research Service, U.S. Department of Agriculture
Powder Mill Rd. Bldg. 303, BARC-East, Beltsville, MD 20705
USA


Paulo Flores
Department of Agricultural and Biosystems Engineering
North Dakota State University
North Dakota
USA


Rae Page
Department of Plant Pathology
University of Minnesota
Saint Paul, MN55108
USA


Ryan Johnson
Department of Plant Pathology
University of Minnesota
Saint Paul, MN55108
USA


Tamas Szinyei
Department of Plant Pathology
University of Minnesota
Saint Paul, MN55108
USA


Tong Sun
School of Engineering
Zhejiang A&F University
Hangzhou 311300
China


Wen Zhang
School of Life Science and Engineering
Southwest University of Science and Technology
Mianyang 621010, Sichuan
PR China


Wen-Hao Su
Department of Bioproducts and Biosystems Engineering
University of Minnesota
Saint Paul,MN 55108
USA


Yanhong Dong
Department of Plant Pathology
University of Minnesota
Saint Paul, MN55108
USA


Yingchun Fu
College of Biosystems Engineering and Food Science
Zhejiang University
Hangzhou, 310058
China


Zhao Zhang
Department of Agricultural and Biosystems Engineering
North Dakota State University
North Dakota
USA


Zhiming Guo
School of Food and Biological Engineering
Jiangsu University
Zhenjiang 212013
China
/
International Research Center for Food Nutrition and Safety
Jiangsu University
Zhenjiang 212013
China


Zuzana Hruska
Geosystems Research Institute
Mississippi State University
Stennis SpaceCenter, Hancock, MS 39529
USA




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