Intelligent Data Mining and Fusion Systems in Agriculture

Intelligent Data Mining and Fusion Systems in Agriculture
Author: Xanthoula Eirini Pantazi,Dimitrios Moshou,Dionysis Bochtis
Publsiher: Academic Press
Total Pages: 330
Release: 2019-10-08
Genre: Business & Economics
ISBN: 9780128143926

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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

Automation and Control

Automation and Control
Author: Elmer P. Dadios
Publsiher: BoD – Books on Demand
Total Pages: 140
Release: 2022-05-25
Genre: Technology & Engineering
ISBN: 9781839691737

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Advances in automation and control today cover many areas of technology where human input is minimized. This book discusses numerous types and applications of automation and control. Chapters address topics such as building information modeling (BIM)–based automated code compliance checking (ACCC), control algorithms useful for military operations and video games, rescue competitions using unmanned aerial-ground robots, and stochastic control systems.

Proceedings of 15th International Conference on Electromechanics and Robotics Zavalishin s Readings

Proceedings of 15th International Conference on Electromechanics and Robotics  Zavalishin s Readings
Author: Andrey Ronzhin,Vladislav Shishlakov
Publsiher: Springer Nature
Total Pages: 551
Release: 2020-09-01
Genre: Technology & Engineering
ISBN: 9789811555800

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This book features selected papers presented at the 15th International Conference on Electromechanics and Robotics “Zavalishin's Readings” – ER(ZR) 2020, held in Ufa, Russia, on 15–18 April 2020. The contributions, written by professionals, researchers and students, cover topics in the field of automatic control systems, electromechanics, electric power engineering and electrical engineering, mechatronics, robotics, automation and vibration technologies. The Zavalishin's Readings conference was established as a tribute to the memory of Dmitry Aleksandrovich Zavalishin (1900–1968) – a Russian scientist, corresponding member of the USSR Academy of Sciences and founder of the school of valve energy converters based on electric machines and valve converters energy. The first conference was organized by the Institute of Innovative Technologies in Electromechanics and Robotics at the Saint Petersburg State University of Aerospace Instrumentation in 2006.

Bio economy and Agri production

Bio economy and Agri production
Author: Dionysis Bochtis,Charisios Achillas,Georgios Banias,Maria Lampridi
Publsiher: Academic Press
Total Pages: 382
Release: 2020-11-06
Genre: Technology & Engineering
ISBN: 9780128211434

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Bio-Economy and Agri-Production: Concepts and Evidence bridges the knowledge gap between sustainability and bio-economy aspects of agri-production. It complements traditional perspectives of agri-production with advanced engineering, information and communication technologies recently applied in agri-business. Including knowledgebased agriculture and reflecting sustainability and circular economy principles, the book presents a holistic view of sustainable bio-economy, contributing to the development of integrated agricultural systems. As technology advances, agricultural production management practices are now being called upon to address the need for sustainability in the bio-economy. Bio-Economy and Agri-Production: Concepts and Evidence presents information to broaden the awareness and promotion of practices and technology to reduce the use of inputs, protect health and environment and improve resource-use efficiency. Topics that are addressed include circular economy in agri-business, lifecycle thinking, lean management, agri-chains, green production, and waste management. Bio-Economy and Agri-Production: Concepts and Evidence is a valuable reference for professionals, consultants, and policy making stakeholders in biosystems engineering and agricultural industries Focuses on responsible management practices to protect the environment while producing needed resources Application based for those in agricultural sectors seeking to integrate bioeconomic strategies Provides real-world insights into transitioning practices

Advanced Intelligent Systems for Sustainable Development AI2SD 2019

Advanced Intelligent Systems for Sustainable Development  AI2SD   2019
Author: Mostafa Ezziyyani
Publsiher: Springer Nature
Total Pages: 407
Release: 2020-02-05
Genre: Technology & Engineering
ISBN: 9783030366643

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This book highlights the latest research in the fields of health care and agriculture, presented at the second installment of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2019), held on July 08–11, 2019 in Marrakech, Morocco. Gathering contributions by respected researchers in the field of agriculture, the book is intended to stimulate debate in this field, and proposes new solutions, tools and effective techniques concerning various current topics in the field of agriculture, such as ICT, IoT and big data analytics for agriculture, smart systems for plant productivity, and data analytics of socio-economic dimensions for sustainable agriculture and aquaculture. With regard to the field of health, the book addresses several areas of research, including E-health services in smart environments (smart homes, smart medical institutions, smart cities), E-health and big data analysis, IoT for health, network interoperability in E-health ecosystems, current and emerging web norms and communication technologies for E-health, heterogeneity of E-health environments and platforms (sensors and actuators, heterogeneous access technologies, security), human–computer interaction, RFID and localization techniques, E-health virtual communities, and business intelligence in health care. This book is intended for academic and professional researchers, decision-makers and all stakeholders in the fields of health and agriculture whose work involves the development and improvement of this field with modern I4.0 technologies and approaches. The authors of each chapter report on the state of the art and present the outcomes of their own research, laboratory experiments, and successful applications. The purpose of the book is to combine the idea of advanced intelligent systems with appropriate tools and techniques for modeling, management, and decision support in the fields of health and agriculture.

Agriculture 5 0

Agriculture 5 0
Author: Latief Ahmad,Firasath Nabi
Publsiher: CRC Press
Total Pages: 224
Release: 2021-03-25
Genre: Technology & Engineering
ISBN: 9781000364439

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Agriculture 5.0: Artificial Intelligence, IoT & Machine Learning provides an interdisciplinary, integrative overview of latest development in the domain of smart farming. It shows how the traditional farming practices are being enhanced and modified by automation and introduction of modern scalable technological solutions that cut down on risks, enhance sustainability, and deliver predictive decisions to the grower, in order to make agriculture more productive. An elaborative approach has been used to highlight the applicability and adoption of key technologies and techniques such WSN, IoT, AI and ML in agronomic activities ranging from collection of information, analysing and drawing meaningful insights from the information which is more accurate, timely and reliable.It synthesizes interdisciplinary theory, concepts, definitions, models and findings involved in complex global sustainability problem-solving, making it an essential guide and reference. It includes real-world examples and applications making the book accessible to a broader interdisciplinary readership. This book clarifies hoe the birth of smart and intelligent agriculture is being nurtured and driven by the deployment of tiny sensors or AI/ML enabled UAV’s or low powered Internet of Things setups for the sensing, monitoring, collection, processing and storing of the information over the cloud platforms. This book is ideal for researchers, academics, post-graduate students and practitioners of agricultural universities, who want to embrace new agricultural technologies for Determination of site-specific crop requirements, future farming strategies related to controlling of chemical sprays, yield, price assessments with the help of AI/ML driven intelligent decision support systems and use of agri-robots for sowing and harvesting. The book will be covering and exploring the applications and some case studies of each technology, that have heavily made impact as grand successes. The main aim of the book is to give the readers immense insights into the impact and scope of WSN, IoT, AI and ML in the growth of intelligent digital farming and Agriculture revolution 5.0.The book also focuses on feasibility of precision farming and the problems faced during adoption of precision farming techniques, its potential in India and various policy measures taken all over the world. The reader can find a description of different decision support tools like crop simulation models, their types, and application in PA. Features: Detailed description of the latest tools and technologies available for the Agriculture 5.0. Elaborative information for different type of hardware, platforms and machine learning techniques for use in smart farming. Elucidates various types of predictive modeling techniques available for intelligent and accurate agricultural decision making from real time collected information for site specific precision farming. Information about different type of regulations and policies made by all over the world for the motivation farmers and innovators to invest and adopt the AI and ML enabled tools and farming systems for sustainable production.

Information and Communication Technologies for Agriculture Theme II Data

Information and Communication Technologies for Agriculture   Theme II  Data
Author: Dionysis D. Bochtis,Dimitrios E. Moshou,Giorgos Vasileiadis,Athanasios Balafoutis,Panos M. Pardalos
Publsiher: Springer
Total Pages: 288
Release: 2022-03-18
Genre: Business & Economics
ISBN: 3030841472

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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

Smart Sensors for Industrial Internet of Things

Smart Sensors for Industrial Internet of Things
Author: Deepak Gupta,Victor Hugo C. de Albuquerque,Ashish Khanna,Purnima Lala Mehta
Publsiher: Springer Nature
Total Pages: 306
Release: 2021-02-01
Genre: Technology & Engineering
ISBN: 9783030526245

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This book brings together the latest research in smart sensors technology and exposes the reader to myriad industrial applications that this technology has enabled. The book emphasizes several topics in the area of smart sensors in industrial real-world applications. The contributions in this book give a broader view on the usage of smart sensor devices covering a wide range of interdisciplinary areas like Intelligent Transport Systems, Healthcare, Agriculture, Drone communications and Security. By presenting an insight into Smart Sensors for Industrial IoT, this book directs the readers to explore the utility and advancement in smart sensors and their applications into numerous research fields. Lastly, the book aims to reach through a mass number of industry experts, researchers, scientists, engineers, and practitioners and help them guide and evolve to advance research practices.

Cloud IoT Systems for Smart Agricultural Engineering

Cloud IoT Systems for Smart Agricultural Engineering
Author: Saravanan Krishnan,J Bruce Ralphin Rose,N R Rajalakshmi,Narayanan Prasanth
Publsiher: CRC Press
Total Pages: 280
Release: 2022-02-14
Genre: Computers
ISBN: 9781000535136

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Agriculture plays a vital role in a country’s growth. Modern-day technologies drive every domain toward smart systems. The use of traditional agricultural procedures to satisfy modern-day requirements is a challenging task. Cloud IoT Systems for Smart Agricultural Engineering provides substantial coverage of various challenges of the agriculture domain through modern technologies such as the Internet of Things (IoT), cloud computing, and many more. This book offers various state-of-the-art procedures to be deployed in a wide range of agricultural activities. The concepts are discussed with the necessary implementations and clear examples. Necessary illustrations are depicted in the chapters to ensure the effective delivery of the proposed concepts. It presents the rapid advancement of the technologies in the existing agricultural model by applying the cloud IoT techniques. A wide variety of novel architectural solutions are discussed in various chapters of this book. This book provides comprehensive coverage of the most essential topics, including: New approaches on urban and vertical farming Smart crop management for Indian farmers Smart livestock management Precision agriculture using geographical information systems Machine learning techniques combined with IoT for smart agriculture Effective use of drones in smart agriculture This book provides solutions for the diverse domain of problems in agricultural engineering. It can be used at the basic and intermediary levels for agricultural science and engineering graduate students, researchers, and practitioners.

Biotechnology Agriculture Environment and Energy

Biotechnology  Agriculture  Environment and Energy
Author: Fangli Zheng
Publsiher: CRC Press
Total Pages: 442
Release: 2014-11-18
Genre: Nature
ISBN: 9781138026544

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The 2014 International Conference on Biotechnology, Agriculture, Environment and Energy (ICBAEE 2014) was held May 22-23, 2014 in Beijing, China. The objective of ICBAEE 2014 was to provide a platform for researchers, engineers, academics as well as industry professionals from all over the world to present their research results and development activities in Biotechnology, Agriculture, Environment and Energy. This conference provided opportunities for the delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration. The program consisted of invited sessions and technical workshops and discussions with eminent speakers, and contributions to this proceedings volume cover a wide range of topics in Biotechnology, Agriculture, Environment and Energy.

Computer and Computing Technologies in Agriculture VIII

Computer and Computing Technologies in Agriculture VIII
Author: Daoliang Li,Yingyi Chen
Publsiher: Springer
Total Pages: 756
Release: 2015-09-29
Genre: Computers
ISBN: 9783319196206

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This book constitutes the refereed post-conference proceedings of the 8th IFIP WG 5.14 International Conference on Computer and Computing Technologies in Agriculture, CCTA 2014, held in Beijing, China, in September 2014. The 81 revised papers included in this volume were carefully selected from 216 submissions. They cover a wide range of interesting theories and applications of information technology in agriculture, including intelligent sensing, monitoring and automatic control technology; key technology and models of the Internet of things; intelligent technology for agricultural equipment; computer vision; computer graphics and virtual reality; computer simulation, optimization and modeling; cloud computing and agricultural applications; agricultural big data; decision support systems and expert systems; 3s technology and precision agriculture; quality and safety of agricultural products: detection and tracing technology; and agricultural electronic commerce technology.

Intelligent Data Analysis

Intelligent Data Analysis
Author: Deepak Gupta,Siddhartha Bhattacharyya,Ashish Khanna,Kalpna Sagar
Publsiher: John Wiley & Sons
Total Pages: 432
Release: 2020-04-17
Genre: Technology & Engineering
ISBN: 9781119544449

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This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools.

Sensing Data Managing and Control Technologies for Agricultural Systems

Sensing  Data Managing  and Control Technologies for Agricultural Systems
Author: Shaochun Ma,Tao Lin,Enrong Mao,Zhenghe Song,Kuan-Chong Ting
Publsiher: Springer Nature
Total Pages: 332
Release: 2022-06-06
Genre: Technology & Engineering
ISBN: 9783031038341

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Agricultural automation is the emerging technologies which heavily rely on computer-integrated management and advanced control systems. The tedious farming tasks had been taken over by agricultural machines in last century, in new millennium, computer-aided systems, automation, and robotics has been applied to precisely manage agricultural production system. With agricultural automation technologies, sustainable agriculture is being developed based on efficient use of land, increased conservation of water, fertilizer and energy resources. The agricultural automation technologies refer to related areas in sensing & perception, reasoning & learning, data communication, and task planning & execution. Since the literature on this diverse subject is widely scattered, it is necessary to review current status and capture the future challenges through a comprehensive monograph. In this book we focus on agricultural automation and provide critical reviews of advanced control technologies, their merits and limitations, application areas and research opportunities for further development. This collection thus serves as an authoritative treatise that can help researchers, engineers, educators, and students in the field of sensing, control, and automation technologies for production agriculture.

Smart Agricultural Services Using Deep Learning Big Data and IoT

Smart Agricultural Services Using Deep Learning  Big Data  and IoT
Author: Gupta, Amit Kumar,Goyal, Dinesh,Singh, Vijander,Sharma, Harish
Publsiher: IGI Global
Total Pages: 280
Release: 2020-10-30
Genre: Technology & Engineering
ISBN: 9781799850045

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The agricultural sector can benefit immensely from developments in the field of smart farming. However, this research area focuses on providing specific fixes to particular situations and falls short on implementing data-driven frameworks that provide large-scale benefits to the industry as a whole. Using deep learning can bring immense data and improve our understanding of various earth sciences and improve farm services to yield better crop production and profit. Smart Agricultural Services Using Deep Learning, Big Data, and IoT is an essential publication that focuses on the application of deep learning to agriculture. While highlighting a broad range of topics including crop models, cybersecurity, and sustainable agriculture, this book is ideally designed for engineers, programmers, software developers, agriculturalists, farmers, policymakers, researchers, academicians, and students.

Data Mining in Agriculture

Data Mining in Agriculture
Author: Antonio Mucherino,Petraq J. Papajorgji,Panos M. Pardalos
Publsiher: Springer Science & Business Media
Total Pages: 274
Release: 2009-08-19
Genre: Mathematics
ISBN: 9780387886145

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Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining technique rather intuitively with ample concrete examples represented graphically and with algorithms written in MATLAB®.