Applications Of Image Processing And Soft Computing Systems In Agriculture

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Applications of Image Processing and Soft Computing Systems in Agriculture

Author : Razmjooy, Navid,Estrela, Vania Vieira
Publisher : IGI Global
Page : 337 pages
File Size : 40,9 Mb
Release : 2019-02-22
Category : Technology & Engineering
ISBN : 9781522580287

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Applications of Image Processing and Soft Computing Systems in Agriculture by Razmjooy, Navid,Estrela, Vania Vieira Pdf

The variety and abundance of qualitative characteristics of agricultural products have been the main reasons for the development of different types of non-destructive methods (NDTs). Quality control of these products is one of the most important tasks in manufacturing processes. The use of control and automation has become more widespread, and new approaches provide opportunities for production competition through new technologies. Applications of Image Processing and Soft Computing Systems in Agriculture examines applications of artificial intelligence in agriculture and the main uses of shape analysis on agricultural products such as relationships between form and genetics, adaptation, product characteristics, and product sorting. Additionally, it provides insights developed through computer vision techniques. Highlighting such topics as deep learning, agribusiness, and augmented reality, it is designed for academicians, researchers, agricultural practitioners, and industry professionals.

Cognitive Systems and Signal Processing in Image Processing

Author : Yu-Dong Zhang,Arun Kumar Sangaiah
Publisher : Academic Press
Page : 398 pages
File Size : 49,9 Mb
Release : 2021-11-28
Category : Computers
ISBN : 9780323860093

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Cognitive Systems and Signal Processing in Image Processing by Yu-Dong Zhang,Arun Kumar Sangaiah Pdf

Cognitive Systems and Signal Processing in Image Processing presents different frameworks and applications of cognitive signal processing methods in image processing. This book provides an overview of recent applications in image processing by cognitive signal processing methods in the context of Big Data and Cognitive AI. It presents the amalgamation of cognitive systems and signal processing in the context of image processing approaches in solving various real-word application domains. This book reports the latest progress in cognitive big data and sustainable computing. Various real-time case studies and implemented works are discussed for better understanding and more clarity to readers. The combined model of cognitive data intelligence with learning methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues for computer vision in real-time. Presents cognitive signal processing methodologies that are related to challenging image processing application domains Provides the state-of-the-art in cognitive signal processing approaches in the area of big-data image processing Focuses on other technical aspects and alternatives to traditional tools, algorithms and methodologies Discusses various real-time case studies and implemented works

IoT and WSN Applications for Modern Agricultural Advancements: Emerging Research and Opportunities

Author : Mukherjee, Proshikshya,Pattnaik, Prasant Kumar,Panda, Surya Narayan
Publisher : IGI Global
Page : 145 pages
File Size : 55,8 Mb
Release : 2019-07-05
Category : Technology & Engineering
ISBN : 9781522590064

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IoT and WSN Applications for Modern Agricultural Advancements: Emerging Research and Opportunities by Mukherjee, Proshikshya,Pattnaik, Prasant Kumar,Panda, Surya Narayan Pdf

Currently, the demand by consumption of agricultural products may be predicted quantitatively; moreover, the variation of harvest and production by the change of a farm's cultivated area, weather change, disease, insect damage, etc. is a challenge that has led to improper control of the supply and demand of agricultural products. Advancements in IoT and wireless sensor networks in precision agriculture and the cloud computing technology needed to deploy them can be used to address and solve these issues. IoT and WSN Applications for Modern Agricultural Advancements: Emerging Research and Opportunities is an essential research book that focuses on the development of effective data-computing operations on agricultural advancements that are fully supported by IoT, cloud computing, and wireless sensor network systems and explores prospective applications of computing, analytics, and networking in various interdisciplinary domains of engineering. Featuring a range of topics such as power monitoring, healthcare, and GIS, this book is ideal for IT practitioners, farmers, network analysts, researchers, professionals, academicians, industry experts, and students.

Recent Advances on Soft Computing and Data Mining

Author : Rozaida Ghazali,Nazri Mohd Nawi,Mustafa Mat Deris,Jemal H. Abawajy
Publisher : Springer Nature
Page : 491 pages
File Size : 42,5 Mb
Release : 2019-12-04
Category : Technology & Engineering
ISBN : 9783030360566

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Recent Advances on Soft Computing and Data Mining by Rozaida Ghazali,Nazri Mohd Nawi,Mustafa Mat Deris,Jemal H. Abawajy Pdf

This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies. It discusses data-analytical thinking, which is essential to extract useful knowledge and obtain commercial value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad interdisciplinary range of scientific methods and processes. The book provides readers with sufficient knowledge to tackle a wide range of issues in complex systems, bringing together the scopes that integrate soft computing and data mining in various combinations of applications and practices, since to thrive in these data-driven ecosystems, researchers, data analysts and practitioners must understand the design choice and options of these approaches. This book helps readers to solve complex benchmark problems and to better appreciate the concepts, tools and techniques used.

Intelligent Healthcare Systems

Author : Vania V. Estrela
Publisher : CRC Press
Page : 492 pages
File Size : 54,5 Mb
Release : 2023-08-04
Category : Computers
ISBN : 9781000954395

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Intelligent Healthcare Systems by Vania V. Estrela Pdf

The book sheds light on medical cyber-physical systems while addressing image processing, microscopy, security, biomedical imaging, automation, robotics, network layers’ issues, software design, and biometrics, among other areas. Hence, solving the dimensionality conundrum caused by the necessity to balance data acquisition, image modalities, different resolutions, dissimilar picture representations, subspace decompositions, compressed sensing, and communications constraints. Lighter computational implementations can circumvent the heavy computational burden of healthcare processing applications. Soft computing, metaheuristic, and deep learning ascend as potential solutions to efficient super-resolution deployment. The amount of multi-resolution and multi-modal images has been augmenting the need for more efficient and intelligent analyses, e.g., computer-aided diagnosis via computational intelligence techniques. This book consolidates the work on artificial intelligence methods and clever design paradigms for healthcare to foster research and implementations in many domains. It will serve researchers, technology professionals, academia, and students working in the area of the latest advances and upcoming technologies employing smart systems’ design practices and computational intelligence tactics for medical usage. The book explores deep learning practices within particularly difficult computational types of health problems. It aspires to provide an assortment of novel research works that focuses on the broad challenges of designing better healthcare services.

Metaheuristics and Optimization in Computer and Electrical Engineering

Author : Navid Razmjooy,Mohsen Ashourian,Zahra Foroozandeh
Publisher : Springer Nature
Page : 311 pages
File Size : 55,9 Mb
Release : 2020-11-16
Category : Technology & Engineering
ISBN : 9783030566890

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Metaheuristics and Optimization in Computer and Electrical Engineering by Navid Razmjooy,Mohsen Ashourian,Zahra Foroozandeh Pdf

The use of artificial intelligence, especially in the field of optimization is increasing day by day. The purpose of this book is to explore the possibility of using different kinds of optimization algorithms to advance and enhance the tools used for computer and electrical engineering purposes.

Soft Computing and Optimization Techniques for Sustainable Agriculture

Author : Debesh Mishra,Suchismita Satapathy,Prasenjit Chatterjee
Publisher : Walter de Gruyter GmbH & Co KG
Page : 192 pages
File Size : 53,9 Mb
Release : 2022-07-18
Category : Computers
ISBN : 9783110745368

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Soft Computing and Optimization Techniques for Sustainable Agriculture by Debesh Mishra,Suchismita Satapathy,Prasenjit Chatterjee Pdf

This book covers the emerging applications of different computational and optimization techniques in order to achieve a sustainable agriculture. A sustainable agricultural management requires tools in providing integrated, area-specifi c, and interpreted prediction or forecasting and guidance in every aspect in agriculture.

Translational Bioinformatics in Healthcare and Medicine

Author : Anonim
Publisher : Academic Press
Page : 254 pages
File Size : 47,5 Mb
Release : 2021-05-13
Category : Business & Economics
ISBN : 9780323898904

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Translational Bioinformatics in Healthcare and Medicine by Anonim Pdf

Translational Bioinformatics in Healthcare and Medicine offers an overview of main principles of bioinformatics, biological databases, clinical informatics, health informatics, viroinformatics and real-case applications of translational bioinformatics in healthcare. Written by experts from both technology and clinical sides, the content brings together essential knowledge to make the best of recent advancements of the field. The book discusses topics such as next generation sequence analysis, genomics in clinical care, IoT applications, blockchain technology, patient centered interoperability of EHR, health data mining, and translational bioinformatics methods for drug discovery and drug repurposing. In addition, it discusses the role of bioinformatics in cancer research and viroinformatics approaches to counter viral diseases through informatics. This is a valuable resource for bioinformaticians, clinicians, healthcare professionals, graduate students and several members of biomedical field who are interested in learning more about how bioinformatics can impact in their research and practice. Covers recent advancements in translational bioinformatics and its healthcare applications Discusses integrative and multidisciplinary approaches to U-healthcare systems development and management Bridges the gap among various knowledge domains in the field, integrating both technological and clinical knowledge into practical content

Applications of Remote Image Capture System in Agriculture

Author : Ginés García-Mateos,José Miguel Molina-Martínez
Publisher : MDPI
Page : 310 pages
File Size : 52,6 Mb
Release : 2020-12-04
Category : Technology & Engineering
ISBN : 9783039438051

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Applications of Remote Image Capture System in Agriculture by Ginés García-Mateos,José Miguel Molina-Martínez Pdf

Remote image capture systems are a key element in efficient and sustainable agriculture nowadays. They are increasingly being used to obtain information of interest from the crops, the soil and the environment. It includes different types of capturing devices: from satellites and drones, to in-field devices; different types of spectral information, from visible RGB images, to multispectral images; different types of applications; and different types of techniques in the areas of image processing, computer vision, pattern recognition and machine learning. This book covers all these aspects, through a series of chapters that describe specific recent applications of these techniques in interesting problems of agricultural engineering.

Proceedings of Second Doctoral Symposium on Computational Intelligence

Author : Deepak Gupta,Ashish Khanna,Vineet Kansal,Giancarlo Fortino,Aboul Ella Hassanien
Publisher : Springer Nature
Page : 902 pages
File Size : 50,7 Mb
Release : 2021-09-19
Category : Technology & Engineering
ISBN : 9789811633461

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Proceedings of Second Doctoral Symposium on Computational Intelligence by Deepak Gupta,Ashish Khanna,Vineet Kansal,Giancarlo Fortino,Aboul Ella Hassanien Pdf

This book features high-quality research papers presented at Second Doctoral Symposium on Computational Intelligence (DoSCI-2021), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on 6 March 2021. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, decision support and decision making.

Advances in Multidisciplinary Medical Technologies ─ Engineering, Modeling and Findings

Author : Abdeldjalil Khelassi,Vania Vieira Estrela
Publisher : Springer Nature
Page : 270 pages
File Size : 52,6 Mb
Release : 2020-11-07
Category : Technology & Engineering
ISBN : 9783030575526

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Advances in Multidisciplinary Medical Technologies ─ Engineering, Modeling and Findings by Abdeldjalil Khelassi,Vania Vieira Estrela Pdf

This book collects the proceedings of the International Congress on Health Sciences and Medical Technologies (ICHSMT), held in Tlemcen, Algeria, from December 5 to 7, 2019. The proceedings present a forum for the latest projects and research in scientific and technological development with an emphasis on smart healthcare system design and future technologies. ICHSMT brings together researchers, students, and professionals from the healthcare, corporate, and academic sectors. It includes a far-reaching program supported by a variety of technical tracks that seek to promote medical technologies and innovation at a nationwide level.

Data Science for Agricultural Innovation and Productivity

Author : S. Gowrishankar, Hamidah Ibrahim, A. Veena, K.P. Asha Rani, A.H. Srinivasa
Publisher : Bentham Science Publishers
Page : 229 pages
File Size : 45,7 Mb
Release : 2024-02-12
Category : Technology & Engineering
ISBN : 9789815196184

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Data Science for Agricultural Innovation and Productivity by S. Gowrishankar, Hamidah Ibrahim, A. Veena, K.P. Asha Rani, A.H. Srinivasa Pdf

Data Science for Agricultural Innovation and Productivity explores the transformation of agriculture through data-driven practices. This comprehensive book delves into the intersection of data science and farming, offering insights into the potential of big data analytics, machine learning, and IoT integration. Readers will find a wide range of topics covered in 10 chapters, including smart farming, AI applications, hydroponics, and robotics. Expert contributors, including researchers, practitioners, and academics in the fields of data science and agriculture, share their knowledge to provide readers with up-to-date insights and practical applications. The interdisciplinary emphasis of the book gives a well-rounded view of the subject. With real-world examples and case studies, this book demonstrates how data science is being successfully applied in agriculture, inspiring readers to explore new possibilities and contribute to the ongoing transformation of the agricultural sector. Sustainability and future outlook are the key themes, as the book explores how data science can promote environmentally conscious agricultural practices while addressing global food security concerns. Key Features: - Focus on data-driven agricultural practices - Comprehensive coverage of modern farming topics with an interdisciplinary perspective - Expert insights - Sustainability and future outlook -Highlights practical applications Data Science for Agricultural Innovation and Productivity is an essential resource for researchers, data scientists, farmers, agricultural technologists, students, educators, and anyone with an interest in the future of farming through data-driven agriculture.

Handbook of Artificial Intelligence

Author : Dumpala Shanthi,B. Madhuravani,Ashwani Kumar
Publisher : Bentham Science Publishers
Page : 297 pages
File Size : 46,7 Mb
Release : 2023-11-13
Category : Computers
ISBN : 9789815124521

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Handbook of Artificial Intelligence by Dumpala Shanthi,B. Madhuravani,Ashwani Kumar Pdf

Artificial Intelligence (AI) is an interdisciplinary science with multiple approaches to solve a problem. Advancements in machine learning (ML) and deep learning are creating a paradigm shift in virtually every tech industry sector. This handbook provides a quick introduction to concepts in AI and ML. The sequence of the book contents has been set in a way to make it easy for students and teachers to understand relevant concepts with a practical orientation. This book starts with an introduction to AI/ML and its applications. Subsequent chapters cover predictions using ML, and focused information about AI/ML algorithms for different industries (health care, agriculture, autonomous driving, image classification and segmentation, SEO, smart gadgets and security). Each industry use-case demonstrates a specific aspect of AI/ML techniques that can be used to create pipelines for technical solutions such as data processing, object detection, classification and more. Additional features of the book include a summary and references in every chapter, and several full-color images to visualize concepts for easy understanding. It is an ideal handbook for both students and instructors in undergraduate level courses in artificial intelligence, data science, engineering and computer science who are required to understand AI/ML in a practical context.

Machine Learning and Deep Learning for Smart Agriculture and Applications

Author : Avinash G. Keskar
Publisher : Engineering Science Reference
Page : 0 pages
File Size : 52,7 Mb
Release : 2023-08-29
Category : Computers
ISBN : 1668499754

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Machine Learning and Deep Learning for Smart Agriculture and Applications by Avinash G. Keskar Pdf

"As health monitoring of plants and fruits is essential for sustainable agriculture. In the agriculture farming business, plant diseases are the major reason for monetary misfortunes around the globe. Automated detection and identification of plant diseases using sophisticated image processing coupled with advanced computer vision techniques results in accurate and fast identification with less human effort and labor cost. This book is to to provide an efficient solution for the detection of plants and fruit diseases, using various machine learning and deep learning techniques. The objective of the book is to find out how agriculture is involved with prepared and efficient profound learning algorithms. There are huge prospects for agriculture administration through the proper use of Machine Learning, Deep Learning, Big Data, and IoT structures. The majority of agricultural research institutes have already adopted Internet of Things for the monitoring of a variety of farm services"--

Information and Communication Technologies for Agriculture—Theme II: Data

Author : Dionysis D. Bochtis,Dimitrios E. Moshou,Giorgos Vasileiadis,Athanasios Balafoutis,Panos M. Pardalos
Publisher : Springer Nature
Page : 296 pages
File Size : 46,6 Mb
Release : 2022-03-17
Category : Business & Economics
ISBN : 9783030841485

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Information and Communication Technologies for Agriculture—Theme II: Data by Dionysis D. Bochtis,Dimitrios E. Moshou,Giorgos Vasileiadis,Athanasios Balafoutis,Panos M. Pardalos Pdf

This volume is the second (II) of four under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT). The four volumes cover rapidly developing processes including Sensors (I), Data (II), Decision (III), and Actions (IV). Volumes are related to ‘digital transformation” within agricultural production and provision systems, and in the context of Smart Farming Technology and Knowledge-based Agriculture. Content spans broadly from data mining and visualization to big data analytics and decision making, alongside with the sustainability aspects stemming from the digital transformation of farming. The four volumes comprise the outcome of the 12th EFITA Congress, also incorporating chapters that originated from select presentations of the Congress. The first part of this book (II) focuses on data technologies in relation to agriculture and presents three key points in data management, namely, data collection, data fusion, and their uses in machine learning and artificial intelligent technologies. Part 2 is devoted to the integration of these technologies in agricultural production processes by presenting specific applications in the domain. Part 3 examines the added value of data management within agricultural products value chain. The book provides an exceptional reference for those researching and working in or adjacent to agricultural production, including engineers in machine learning and AI, operations management, decision analysis, information analysis, to name just a few. Specific advances covered in the volume: Big data management from heterogenous sources Data mining within large data sets Data fusion and visualization IoT based management systems Data Knowledge Management for converting data into valuable information Metadata and data standards for expanding knowledge through different data platforms AI - based image processing for agricultural systems Data - based agricultural business Machine learning application in agricultural products value chain