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Nondestructive Evaluation Of Agro Products By Intelligent Sensing Techniques


Nondestructive Evaluation Of Agro Products By Intelligent Sensing Techniques
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Nondestructive Evaluation Of Agro Products By Intelligent Sensing Techniques


Nondestructive Evaluation Of Agro Products By Intelligent Sensing Techniques
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Author : Jiangbo Li
language : en
Publisher: Bentham Science Publishers
Release Date : 2021-01-22

Nondestructive Evaluation Of Agro Products By Intelligent Sensing Techniques written by Jiangbo Li and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-22 with Technology & Engineering categories.


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
DOWNLOAD
Author : Jiangbo Li
language : en
Publisher: Bentham Science Publishers
Release Date : 2021-01-22

Nondestructive Evaluation Of Agro Products By Intelligent Sensing Techniques written by Jiangbo Li and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-22 with Science categories.


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



Advances In Intelligent Systems For Sustainable Agriculture


Advances In Intelligent Systems For Sustainable Agriculture
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Author : Anand J. Kulkarni
language : en
Publisher: Springer Nature
Release Date : 2025-01-31

Advances In Intelligent Systems For Sustainable Agriculture written by Anand J. Kulkarni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-31 with Computers categories.


This book presents the select proceedings of the 3rd International Conference on Intelligent Systems and Applications 2024. The theme of this conference is ‘Intelligent Systems for Agricultural Applications'. It covers the topics of intelligent systems in multiple aspects such as sustainable crop production, weather prediction, post-harvest management and agro-processing, digitalization and automation of agri equipment, agriculture warehouse and supply chain management, yield prediction, and quality assessment. The book is useful for researchers and professionals interested in the broad field of artificial intelligence and machine learning.



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
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Author : Jiangbo Li
language : en
Publisher: Frontiers Media SA
Release Date : 2023-06-28

Evaluation Of Quality And Safety Of Agricultural Products By Non Destructive Sensing Technology written by Jiangbo Li and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-28 with Science categories.


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
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Author : Avinash P. Ingle
language : en
Publisher: Elsevier
Release Date : 2023-01-12

Nanotechnology In Agriculture And Agroecosystems written by Avinash P. Ingle and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-12 with Technology & Engineering categories.


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



Apple Production Technologies From Laboratory To Practical Applications


Apple Production Technologies From Laboratory To Practical Applications
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Author : Zhao Zhang
language : en
Publisher: Springer Nature
Release Date : 2025-05-22

Apple Production Technologies From Laboratory To Practical Applications written by Zhao Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-22 with Technology & Engineering categories.


This book comprehensively introduces innovative technologies for practical applications in apple production, which include, but not limited to autonomous thinning, Internet of Things, drones for pollination, disease detection and control, and growth stage detection. Conventional apple production is a labor-intensive industry, and many operations require labor, such as thinning, pollination, and harvest. Increasing labor cost and shrinking labor pool negatively affect the sustainability of apple industry. Meanwhile, recent technological progress in sensors and algorithms also impacted the apple industry. These developed technologies are gradually transferring from laboratory to practical applications to benefit apple production. This book provides undergraduates, M.S., and Ph.D. students in the area of smart agriculture, computer science, and mechanical engineering innovative robotics technologies for apple production.



Unmanned Aerial Systems In Precision Agriculture


Unmanned Aerial Systems In Precision Agriculture
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Author : Zhao Zhang
language : en
Publisher: Springer Nature
Release Date : 2022-05-17

Unmanned Aerial Systems In Precision Agriculture written by Zhao Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-17 with Technology & Engineering categories.


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.



Intelligence Science And Big Data Engineering


Intelligence Science And Big Data Engineering
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Author : Yuxin Peng
language : en
Publisher: Springer
Release Date : 2018-11-08

Intelligence Science And Big Data Engineering written by Yuxin Peng and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-08 with Computers categories.


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.​



Intelligent Data Mining And Fusion Systems In Agriculture


Intelligent Data Mining And Fusion Systems In Agriculture
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Author : Xanthoula-Eirini Pantazi
language : en
Publisher: Academic Press
Release Date : 2019-10-08

Intelligent Data Mining And Fusion Systems In Agriculture written by Xanthoula-Eirini Pantazi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-08 with Business & Economics categories.


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



Rapid And Nondestructive Detection Techniques For Agri Product Quality


Rapid And Nondestructive Detection Techniques For Agri Product Quality
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Author : Te Ma
language : en
Publisher: Frontiers Media SA
Release Date : 2024-08-13

Rapid And Nondestructive Detection Techniques For Agri Product Quality written by Te Ma and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-13 with Science categories.


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.