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Author: Jiangbo Li Publisher: Bentham Science Publishers ISBN: 981148578X Category : Technology & Engineering Languages : en Pages : 314
Book Description
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.
Author: Jiangbo Li Publisher: Bentham Science Publishers ISBN: 981148578X Category : Technology & Engineering Languages : en Pages : 314
Book Description
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.
Author: Jiangbo Li Publisher: Bentham Science Publishers ISBN: 9789811485794 Category : Science Languages : en Pages : 312
Book Description
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
Author: Jiangbo Li Publisher: Frontiers Media SA ISBN: 283252673X Category : Science Languages : en Pages : 117
Book Description
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)
Author: Avinash P. Ingle Publisher: Elsevier ISBN: 0323994474 Category : Technology & Engineering Languages : en Pages : 478
Book Description
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
Author: Zhao Zhang Publisher: Springer Nature ISBN: 9811920273 Category : Technology & Engineering Languages : en Pages : 139
Book Description
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.
Author: Te Ma Publisher: Frontiers Media SA ISBN: 2832553133 Category : Science Languages : en Pages : 258
Book Description
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.
Author: Xanthoula-Eirini Pantazi Publisher: Academic Press ISBN: 0128143924 Category : Business & Economics Languages : en Pages : 334
Book Description
Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. Sections cover the combination of sensors with artificial intelligence architectures in precision agriculture, including algorithms, bio-inspired hierarchical neural maps, and novelty detection algorithms capable of detecting sudden changes in different conditions. This book offers advanced students and entry-level professionals in agricultural science and engineering, geography and geoinformation science an in-depth overview of the connection between decision-making in agricultural operations and the decision support features offered by advanced computational intelligence algorithms. - Covers crop protection, automation in agriculture, artificial intelligence in agriculture, sensing and Internet of Things (IoTs) in agriculture - Addresses AI use in weed management, disease detection, yield prediction and crop production - Utilizes case studies to provide real-world insights and direction
Author: Yuxin Peng Publisher: Springer ISBN: 3030026981 Category : Computers Languages : en Pages : 692
Book Description
This book constitutes the proceedings of the 8th International Conference on Intelligence Science and Big DataEngineering, IScIDE 2018, held in Lanzhou, China, in August 2018.The 59 full papers presented in this book were carefully reviewed and selected from 121 submissions.They are grouped in topical sections on robots and intelligent systems; statistics and learning; deep learning; objects and language; classification and clustering; imaging; and biomedical signal processing.
Author: Robert L. Shewfelt Publisher: Academic Press ISBN: 0080925766 Category : Business & Economics Languages : en Pages : 375
Book Description
Postharvest Handling: A Systems Approach introduces a new concept in the handling of fresh fruits and vegetable. Traditional treatments have been either physiologically based with an emphasis on biological tissue or technologically based with an emphasis on storage and handling. This book integrates all processes from production practices through consumer consumption with an emphasis on understanding market forces and providing fresh product that meets consumer expectations. Postharvest physiologists and technologists across the disciplines of agricultural economics, agricultural engineering, food science and horticulture along with handlers of minially-processed products within the fresh produce fruit and vegetable processing industries will find this to be an invaluable source of information. - Uses a systems approach that provides a unique perspective on the handling of fresh fruits and vegetables - Designed with the applied perspective to complement the more basic perspectives provided in other treatments - Provides the integrated, interdisciplinary perspective needed in research to improve the quality of fresh and minimally processed products - Emphasizes that the design of handling systems should be market-driven rather than concentrating on narrow specifics
Author: Quansheng Chen Publisher: Springer Nature ISBN: 9811633606 Category : Technology & Engineering Languages : en Pages : 344
Book Description
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.
Author: Jiangbo Li
Author: Jiangbo Li
Author: Jiangbo Li
Author: Jiangbo Li
Author: Avinash P. Ingle
Author: Zhao Zhang
Author: Te Ma
Author: Xanthoula-Eirini Pantazi
Author: Yuxin Peng
Author: Robert L. Shewfelt
Author: Quansheng Chen