January 26, 2021

Download Ebook Free Intelligent Data Mining And Fusion Systems In Agriculture

Intelligent Data Mining and Fusion Systems in Agriculture

Intelligent Data Mining and Fusion Systems in Agriculture
Author : Xanthoula-Eirini Pantazi,Dimitrios Moshou,Dionysis Bochtis
Publisher : Academic Press
Release Date : 2019-10-08
Category : Business & Economics
Total pages :330
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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

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

Proceedings of 15th International Conference on Electromechanics and Robotics
Author : Andrey Ronzhin,Vladislav Shishlakov
Publisher : Springer Nature
Release Date : 2020-09-01
Category : Technology & Engineering
Total pages :551
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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
Publisher : Academic Press
Release Date : 2020-11-13
Category : Technology & Engineering
Total pages :382
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Bio-economy and Agri-Production: Concepts and Evidence bridges the knowledge gap on sustainability and bio-economy aspects of agri-production over the last decade. It complements traditional aspects on the specific topic with advanced engineering and ICT approaches that have been recently applied in agri-business (e.g. knowledge-based agriculture) under the prism of sustainability and circular economy principles. Topics cover the circular economy in agri-business, lifecycle thinking, lean management, agri-chains, green production and waste management, and more. The book approaches aspects of sustainable bio-economy in agriculture in a holistic way, contributing to the development of integrated agricultural systems. Based on topics presented at the XXXVIII CIOSTA and CIGR V International Conference, and supplemented by targeted invited articles of key-scientists, this book recognizes that as technology advances, agricultural production management practices are now being called upon to address the need for sustainability in the bio-economy. Complements traditional aspects on specific topics with advanced engineering and ICT approaches Focuses on responsible management practices to protect the environment while producing needed resources Provides real-world insights into transitioning practices

Hybrid Artificial Intelligent Systems

Hybrid Artificial Intelligent Systems
Author : Francisco Javier de Cos Juez,José Ramón Villar,Enrique A. de la Cal,Álvaro Herrero,Héctor Quintián,José António Sáez,Emilio Corchado
Publisher : Springer
Release Date : 2018-07-07
Category : Computers
Total pages :755
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This volume constitutes the refereed proceedings of the 13th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2018, held in Oviedo, Spain, in June 2018. The 62 full papers published in this volume were carefully reviewed and selected from 104 submissions. They are organized in the following topical sections: Neurocomputing, fuzzy systems, rough sets, evolutionary algorithms, Agents andMultiagent Systems, and alike.

Intelligent Data Mining

Intelligent Data Mining
Author : Da Ruan,Guoqing Chen,Etienne E. Kerre,Geert Wets
Publisher : Springer Science & Business Media
Release Date : 2005-08-24
Category : Mathematics
Total pages :518
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"Intelligent Data Mining – Techniques and Applications" is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main objective of this book is to gather a number of peer-reviewed high quality contributions in the relevant topic areas. The focus is especially on those chapters that provide theoretical/analytical solutions to the problems of real interest in intelligent techniques possibly combined with other traditional tools, for data mining and the corresponding applications to engineers and managers of different industrial sectors. Academic and applied researchers and research students working on data mining can also directly benefit from this book.

Agricultural Internet of Things and Decision Support for Precision Smart Farming

Agricultural Internet of Things and Decision Support for Precision Smart Farming
Author : Annamaria Castrignano,Gabriele Buttafuoco,Raj Khosla,Abdul Mouazen,Dimitrios Moshou,Olivier Naud
Publisher : Academic Press
Release Date : 2020-01-09
Category : Business & Economics
Total pages :470
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Agricultural Internet of Things and Decision Support for Smart Farming reveals how a set of key enabling technologies (KET) related to agronomic management, remote and proximal sensing, data mining, decision-making and automation can be efficiently integrated in one system. Chapters cover how KETs enable real-time monitoring of soil conditions, determine real-time, site-specific requirements of crop systems, help develop a decision support system (DSS) aimed at maximizing the efficient use of resources, and provide planning for agronomic inputs differentiated in time and space. This book is ideal for researchers, academics, post-graduate students and practitioners who want to embrace new agricultural technologies. Presents the science behind smart technologies for agricultural management Reveals the power of data science and how to extract meaningful insights from big data on what is most suitable based on individual time and space Proves how advanced technologies used in agriculture practices can become site-specific, locally adaptive, operationally feasible and economically affordable

Computer and Computing Technologies in Agriculture

Computer and Computing Technologies in Agriculture
Author : Daoliang Li,Yingyi Chen
Publisher : Springer Science & Business Media
Release Date : 2012-01-12
Category : Computers
Total pages :540
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The three-volume set IFIP AICT 368-370 constitutes the refereed post-conference proceedings of the 5th IFIP TC 5, SIG 5.1 International Conference on Computer and Computing Technologies in Agriculture, CCTA 2011, held in Beijing, China, in October 2011. The 189 revised papers presented were carefully selected from numerous submissions. They cover a wide range of interesting theories and applications of information technology in agriculture, including simulation models and decision-support systems for agricultural production, agricultural product quality testing, traceability and e-commerce technology, the application of information and communication technology in agriculture, and universal information service technology and service systems development in rural areas. The 59 papers included in the third volume focus on simulation, optimization, monitoring, and control technology.

Programming Collective Intelligence

Programming Collective Intelligence
Author : Toby Segaran
Publisher : "O'Reilly Media, Inc."
Release Date : 2007-08-16
Category : Computers
Total pages :362
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Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details." -- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths." -- Tim Wolters, CTO, Collective Intellect

Intelligent Autonomous Vehicles

Intelligent Autonomous Vehicles
Author : Anonim
Publisher : Unknown
Release Date : 2001
Category : Robots
Total pages :129
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Intelligent Autonomous Vehicles 2001 (IAV 2001)

Intelligent Autonomous Vehicles 2001 (IAV 2001)
Author : Hajime Asama,Hirochika Inoue
Publisher : Pergamon
Release Date : 2002
Category : Technology & Engineering
Total pages :411
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This proceedings volume contains the papers from the 4th IFAC Symposium on Intelligent Autonomous Vehicles that was held in Sapporo, Japan, in September 2001. This collection covers various aspects of intelligent autonomous vehicles such as design, planning, computational scheme, architecture, vision, recognition, modelling and control. It also looks at system technologies such as emergence systems, co-operative robots, applications to agricultural vehicles, field robots, factory and office vehicles, soccer robots, nursing vehicles, marine vehicles, aero- and spacecrafts in the air.

Proceedings of the Second International Conference Geospatial Information in Agriculture and Forestry

Proceedings of the Second International Conference Geospatial Information in Agriculture and Forestry
Author : Anonim
Publisher : Unknown
Release Date : 2000
Category : Agricultural informatics
Total pages :129
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Data Mining in Agriculture

Data Mining in Agriculture
Author : Antonio Mucherino,Petraq Papajorgji,Panos M. Pardalos
Publisher : Springer Science & Business Media
Release Date : 2009-09-22
Category : Mathematics
Total pages :274
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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®.

Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing
Author : Ni-Bin Chang,Kaixu Bai
Publisher : CRC Press
Release Date : 2018-02-21
Category : Technology & Engineering
Total pages :528
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Combining versatile data sets from multiple satellite sensors with advanced thematic information retrieval is a powerful way for studying complex earth systems. The book Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing offers complete understanding of the basic scientific principles needed to perform image processing, gap filling, data merging, data fusion, machine learning, and feature extraction. Written by two experts in remote sensing, the book presents the required basic concepts, tools, algorithms, platforms, and technology hubs toward advanced integration. By merging and fusing data sets collected from different satellite sensors with common features, we are enabled to utilize the strength of each satellite sensor to the maximum extent. The inclusion of machine learning or data mining techniques to aid in feature extraction after gap filling, data merging and/or data fusion further empowers earth observation, leading to confirm the whole is greater than the sum of its parts. Contemporary applications discussed in this book make all essential knowledge seamlessly integrated by an interdisciplinary manner. These case-based engineering practices uniquely illustrate how to improve such an emerging field of importance to cope with the most challenging real-world environmental monitoring issues.

E-agriculture in action

E-agriculture in action
Author : Food and Agriculture Organization of the United Nations
Publisher : Food & Agriculture Org.
Release Date : 2019-07-15
Category : Technology & Engineering
Total pages :83
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According to Forbes, we generate almost 2.5 quintillion bytes of data every day. The next generation of agriculture heavily depends on data. The ability to capture, sort, analyze and extract actionable intelligence from large data sets to reveal patterns (human, climate, market) and related trends is an important emerging field. The increase in the use of Internet of Things (IoT) devices would only add to this data deluge. The Economist rightly called data as the world’s most valuable resource , while some calling data the new oil . Agriculture would be one of the major users of IoTs. How can individuals, organizations and governments build capacities and processes in place to take advantage of this huge influx of data. This coupled with existing data streams (weather, satellite imagery, markets etc.,) would create an ecosystem which if managed efficiently would provide rich dividents especially in the agriculture sector where the right information at the right time will make a great influence in the livelihoods of people involved in agriculture and allied activities. This publication looks at how various initiatives are leveraging data, related to agriculture value chains, to influence decision making and efficient service delivery together with addressing key building blocks such as interoperability, data sharing, data security and the necessary policies and regulations that are needed to be implemented to sustain the data ecosystem.

Data Mining and Knowledge Discovery Handbook

Data Mining and Knowledge Discovery Handbook
Author : Oded Maimon,Lior Rokach
Publisher : Springer Science & Business Media
Release Date : 2010-09-10
Category : Computers
Total pages :1285
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This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.