Nondestructive Evaluation of Agro-products by Intelligent Sensing Techniques

Nondestructive Evaluation of Agro-products by Intelligent Sensing Techniques
Author: Jiangbo Li
Publisher: Bentham Science Publishers
Total Pages: 314
Release: 2021-01-22
Genre: Technology & Engineering
ISBN: 981148578X

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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.

Nondestructive Evaluation of Agro-products by Intelligent Sensing Techniques

Nondestructive Evaluation of Agro-products by Intelligent Sensing Techniques
Author: Jiangbo Li
Publisher: Bentham Science Publishers
Total Pages: 312
Release: 2021-01-22
Genre: Science
ISBN: 9789811485794

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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 cropsThis 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

Advanced Nondestructive Detection Technologies in Food

Advanced Nondestructive Detection Technologies in Food
Author: Quansheng Chen
Publisher: Springer Nature
Total Pages: 344
Release: 2021-08-27
Genre: Technology & Engineering
ISBN: 9811633606

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This book comprehensively introduces non-destructive methods for food quality (i.e. external, internal, sensory, components, and microbiological indicators) detection, through optics, acoustics, chemistry, imaging, and bionic sensing. It highlights in-situ detection of food quality and safety, including principles, signal processing, and analysis of data, non-destructive detection system, and application in the food industry for each method. First, this book introduces the principles and characteristics of various food non-destructive methods. As non-destructive measurements always involve obtaining big data for each testing, this book also describes in detail the signal and big data processing for each non-destructive method. The chapters also introduce the rapid portable detection equipment for food and agricultural products developed in recent years, as well as the intelligent monitoring equipment in the process of food processing. Relevant application cases are provided to help readers better understanding how to apply non-destructive technology for food quality detection. In the noninvasive measurement of food quality, this book has a systematic introduction of the detection principle, data processing, and rapid detection system, in-field detection case studies. This book is novel and practical and can be used as a professional textbook for undergraduates majoring in food science and engineering. It can also be used as a reference book for scientific research and technical personnel engaged in the field of food quality and safety detection.

Evaluation of Quality and Safety of Agricultural Products by Non-destructive Sensing Technology

Evaluation of Quality and Safety of Agricultural Products by Non-destructive Sensing Technology
Author: Jiangbo Li
Publisher: Frontiers Media SA
Total Pages: 117
Release: 2023-06-28
Genre: Science
ISBN: 283252673X

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Quality and safety of agricultural products affect human nutrition and health. Agricultural products results from natural process influenced by a myriad of factors (e.g., genetics, environments before harvest, postharvest storage conditions). These factors lead to significant variations of agricultural products, externally and internally, which consequently pose great challenges with quality and safety evaluation. Development of advanced techniques for measuring agricultural product quality and safety is thus crucial to ensuring high quality, nutritious and safe food supplies. Non-destructive sensing technologies (e.g., optical, thermal, ultrasonic), in conjunction with advanced data analytics (e.g., machine learning) and control and automation technology, have evolved as a potent means for augmenting existing quality and safety control efforts of agricultural products, which largely rely on human or manual product assessment. With advancements in sensor and computer technologies, recent years have seen commercial-scale adoption of non-destructive sensing technology (e.g., machine vision, near-infrared spectroscopy) for postharvest quality evaluation for a diversity of specialty crop products (e.g., apples, citrus, kiwi). However, there are still numerous challenges with robust, high-performance detection of many quality and safety issues, such as subsurface/internal defects and contamination. This Research Topic covers the latest developments and applications of advanced non-destructive sensing technologies for quality and safety evaluation of agricultural products, with relevant areas including but not limited to: 1. Assessment of external and internal quality; 2. Detection of subsurface and internal defects; 3. Safety detection of agricultural products; 4. Design and development of advanced sensing system; 5. Multi-modal sensing and applications; 6. Online product grading and sorting; 7. Data handling methods (e.g., machine learning)

Nanotechnology in Agriculture and Agroecosystems

Nanotechnology in Agriculture and Agroecosystems
Author: Avinash P. Ingle
Publisher: Elsevier
Total Pages: 478
Release: 2023-01-12
Genre: Technology & Engineering
ISBN: 0323994474

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Nanotechnology in Agriculture and Agroecosystems presents the latest research on the role of nanotechnology in agriculture and agroecosystems, offering innovations and many potential benefits in terms of plant growth, food production, crop protection and ecosystem management. Sections introduce new perspectives on the use of nanotechnology in agroecosystems and sustainable agriculture. Subsequent chapters focus on specific areas of innovation, covering a wide range of applications, including plant disease and protection, food processing and packaging, soil quality, precision farming, and groundwater treatment. This is a valuable resource for researchers and advanced students across a range of disciplines, but it is also ideal for industrial scientists, engineers and R&D professionals with an interest in nanotechnology and sustainable technologies for agriculture and agro-industries. Offers new perspectives on nanotechnology and nanoscale materials for sustainable agriculture and agroecosystems Highlights state-of-the-art techniques, such as nanotechnology-mediated gene transfer in plants Addresses challenges relating to plant disease, crop production, processing, soil and ecosystem management

Rapid and Nondestructive Detection Techniques for Agri-Product Quality

Rapid and Nondestructive Detection Techniques for Agri-Product Quality
Author: Te Ma
Publisher: Frontiers Media SA
Total Pages: 258
Release: 2024-08-13
Genre: Science
ISBN: 2832553133

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Agri-product such as grains, fruits and vegetables play a very important role in people's daily life. The agri-product quality directly affects human life and health. Agri-product quality refers to the quality characteristics acceptable to consumers, which mainly includes external factors such as size, shape, color, defect and texture, and internal factors such as physical properties, chemical composition and tissue diseases. Generally speaking, variety, climate, soil, cultivation techniques, diseases and pests are all factors that affect the agri-product quality. Traditional methods for agri-product quality evaluation are time-consuming, complex, and expensive. With the continuous development of modern science and technology, rapid and nondestructive detection technologies are applied to evaluate the quality of agri-product. These technologies could obtain the optical, acoustics and electrical properties of a specific substance and then reveal the appearance and internal quality of the agri-product. Furthermore, the trend today is that consumers have become more exigent for information about the products they purchase, which makes the nondestructive detection technology has more important application value in the field of agri-product quality evaluation.

Nondestructive Measurement in Food and Agro-products

Nondestructive Measurement in Food and Agro-products
Author: Xiaobo Zou
Publisher: Springer
Total Pages: 0
Release: 2016-10-13
Genre: Technology & Engineering
ISBN: 9789402403916

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This book is composed of 8 chapters, each focusing on a major non-destructive technique, including optical, acoustic and biological methods. The content of each chapter is based on the author’s studies and current research developments. The book is aimed at graduate students, senior undergraduate students, and researchers in academia and industry. It will be particularly interesting for researchers in the fields of food, agricultural engineering, biotechnology and applied mathematics. It will also serve as a useful reference source for people working in the design and manufacture of non-destructive devices for food and agricultural products.

Unmanned Aerial Systems in Precision Agriculture

Unmanned Aerial Systems in Precision Agriculture
Author: Zhao Zhang
Publisher: Springer Nature
Total Pages: 139
Release: 2022-05-17
Genre: Technology & Engineering
ISBN: 9811920273

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This book, consisting of 8 chapters, describes the state-of-the-art technological progress and applications of unmanned aerial vehicles (UAVs) in precision agriculture. It focuses on the UAV application in agriculture, such as crop disease detection, mid-season yield estimation, crop nutrient status, and high-throughput phenotyping. Different from individual papers focusing on a specific application, this book provides a holistic view for readers with a wide range of subjects. In addition to researchers in the areas of plant science, plant pathology, breeding, engineering, it is also intended for undergraduates and graduates who are interested in imaging processing, artificial intelligence in agriculture, precision agriculture, agricultural automation, and robotics.

Nondestructive Evaluation of Food Quality

Nondestructive Evaluation of Food Quality
Author: Shyam N. Jha
Publisher: Springer
Total Pages: 288
Release: 2010-12-01
Genre: Science
ISBN: 9783642157950

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Numerous works on non-destructive testing of food quality have been reported in the literature. Techniques such as Near InfraRed (NIR) spectroscopy, color and visual spectroscopy, electronic nose and tongue, computer vision (image analysis), ultrasound, x-ray, CT and magnetic resonance imaging are some of the most applied for that purpose and are described in this book. Aspects such as theory/basics of the techniques, practical applications (sampling, experimentation, data analysis) for evaluation of quality attributes of food and some recent works reported in literature are presented and discussed. This book is particularly interesting for new researchers in food quality and serves as an updated state-of-the-art report for those already familiar with the field.

Nondestructive Testing of Food Quality

Nondestructive Testing of Food Quality
Author: Joseph Irudayaraj
Publisher: John Wiley & Sons
Total Pages: 382
Release: 2008-06-02
Genre: Technology & Engineering
ISBN: 0470388285

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The expert contributors to Nondestructive Testing of Food Quality clearly explain present industry advances and how to turn available instrumentation into valuable assets. Readers learn how the competencies of product knowledge, process understanding, instrumentation, principles of sensing, process control, and analytical methodology are required to turn an application into success. The broad-based coverage of topics addresses the most dominant sensor technologies keeping in mind the research initiatives advancing these technologies not only in food but also in the pharmaceutical sectors. Coverage includes: ultrasound, near infrared spectroscopy, mid-infrared spectroscopy, Raman spectroscopy, hyperspectral imaging systems, magnetic resonance imaging, electronic nose, z-nose, biosensors, microwave absorption, and nanoparticles and colloids as sensors.