Artificial Intelligence and Smart Agriculture Applications

Artificial Intelligence and Smart Agriculture Applications
Author: Utku Kose,V.B. Surya Prasath,M.Rubaiyat Hossain Mondal,Prajoy Podder,Subrato Bharati
Publsiher: CRC Press
Total Pages: 355
Release: 2022-09-07
ISBN: 1000644375
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Smart Agriculture Applications Book Excerpt:

An essential resource work for understanding how to design and develop smart applications for present and future problems of the field of agriculture.— Dr. Deepak Gupta, Maharaja Agrasen Institute of Technology, Delhi, India As a result of the advances in Artificial Intelligence (AI), many aspects of daily life have been transformed by smart digital technology. Advanced intelligent algorithms can provide powerful solutions to real-world problems. Smart applications have become commonplace. All areas of life are being changed by smart tools developed to deal with complex issues challenging both humanity and the earth. Artificial Intelligence and Smart Agriculture Applications presents the latest smart agriculture applications developed across the globe. It covers a broad array of solutions using data science and AI to attack problems facing agriculture worldwide. Features: Application of drones and sensors in advanced farming A cloud-computing model for implementing smart agriculture Conversational AI for farmer's advisory communications Intelligent fuzzy logic to predict global warming’s effect on agriculture Machine learning algorithms for mapping soil macronutrient elements variability A smart IoT framework for soil fertility enhancement AI applications in pest management A model using Python for predicting rainfall The book examines not only present solutions but also potential future outcomes. It looks at the role of AI-based algorithms and the almost infinite combinations of variables for agricultural applications. Researchers, public and private sector representatives, agriculture scientists, and students can use this book to develop sustainable and solutions for smart agriculture. This book’s findings are especially important as the planet is facing unprecedented environmental challenges from over-farming and climate change due to global warming.

Machine Learning and Knowledge Extraction

Machine Learning and Knowledge Extraction
Author: Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl
Publsiher: Springer Nature
Total Pages: 552
Release: 2020-08-19
ISBN: 3030573214
Category: Computers
Language: EN, FR, DE, ES & NL

Machine Learning and Knowledge Extraction Book Excerpt:

This book constitutes the refereed proceedings of the 4th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2020, held in Dublin, Ireland, in August 2020. The 30 revised full papers presented were carefully reviewed and selected from 140 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity. Due to the Corona pandemic CD-MAKE 2020 was held as a virtual event.

Artificial Intelligence Applications in Agriculture and Food Quality Improvement

Artificial Intelligence Applications in Agriculture and Food Quality Improvement
Author: Khan, Mohammad Ayoub,Khan, Rijwan,Praveen, Pushkar
Publsiher: IGI Global
Total Pages: 335
Release: 2022-05-27
ISBN: 1668451433
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence Applications in Agriculture and Food Quality Improvement Book Excerpt:

Food is a necessary aspect of human life, and agriculture is crucial to any country’s global economy. Because the food business is essential to both a country’s economy and global economy, artificial intelligence (AI)-based smart solutions are needed to assure product quality and food safety. The agricultural sector is constantly under pressure to boost crop output as a result of population growth. This necessitates the use of AI applications. Artificial Intelligence Applications in Agriculture and Food Quality Improvement discusses the application of AI, machine learning, and data analytics for the acceleration of the agricultural and food sectors. It presents a comprehensive view of how these technologies and tools are used for agricultural process improvement, food safety, and food quality improvement. Covering topics such as diet assessment research, crop yield prediction, and precision farming, this premier reference source is an essential resource for food safety professionals, quality assurance professionals, agriculture specialists, crop managers, agricultural engineers, food scientists, computer scientists, AI specialists, students, libraries, government officials, researchers, and academicians.

Artificial Intelligence Applications and Innovations

Artificial Intelligence Applications and Innovations
Author: Lazaros Iliadis,Ilias Maglogiannis
Publsiher: Springer
Total Pages: 711
Release: 2016-09-02
ISBN: 3319449443
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence Applications and Innovations Book Excerpt:

This book constitutes the refereed proceedings of the 12th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2016, and three parallel workshops, held in Thessaloniki, Greece, in September 2016. The workshops are the Third Workshop on New Methods and Tools for Big Data, MT4BD 2016, the 5th Mining Humanistic Data Workshop, MHDW 2016, and the First Workshop on 5G - Putting Intelligence to the Network Edge, 5G-PINE 2016.The 30 revised full papers and 8 short papers presented at the main conference were carefully reviewed and selected from 65 submissions. The 17 revised full papers and 7 short papers presented at the 3 parallel workshops were selected from 33 submissions. The papers cover a broad range of topics such as artificial neural networks, classification, clustering, control systems - robotics, data mining, engineering application of AI, environmental applications of AI, feature reduction, filtering, financial-economics modeling, fuzzy logic, genetic algorithms, hybrid systems, image and video processing, medical AI applications, multi-agent systems, ontology, optimization, pattern recognition, support vector machines, text mining, and Web-social media data AI modeling.

Formal Ontology in Information Systems

Formal Ontology in Information Systems
Author: R. Ferrario,W. Kuhn
Publsiher: IOS Press
Total Pages: 392
Release: 2016-07-06
ISBN: 1614996601
Category: Computers
Language: EN, FR, DE, ES & NL

Formal Ontology in Information Systems Book Excerpt:

Ontology, originally a fundamental part of philosophical enquiry, is concerned with the analysis and categorization of what exists. The advent of complex information systems which rely on robust and coherent formal representations of their subject matter has led to a renewed focus on ontological enquiry, and the systematic study of such representations are at the center of the modern discipline of formal ontology. This is now a research focus in domains as diverse as conceptual modeling, database design, software engineering, artificial intelligence, computational linguistics, the life sciences, bioinformatics, geographic information science, knowledge engineering, information retrieval and the semantic web. This book presents the proceedings of the 9th edition of the Formal Ontology in Information Systems conference (FOIS 2016) held in Annecy, France, in July 2016. It contains the 25 full papers delivered at the conference (an acceptance rate of 30.9% for the main track), as well as the abstracts of the 3 keynotes by Gilberto Câmara, Stephen Mumford and Friederike Moltmann. The remainder of the book is divided into the sections: Foundations; Space, Time and Change; Cognition, Language and Semantics; Empiricism and Measurement; Ontology for Engineering; Biomedical Ontologies; and Ontology of Social Reality. The domains addressed by the papers include geography, biomedicine, economics, social reality and engineering, and the book will be of interest to all those working in these fields, as well as to anybody with an interest in formal ontology.

Application of Machine Learning in Agriculture

Application of Machine Learning in Agriculture
Author: Mohammad Ayoub Khan,Rijwan Khan,Mohammad Aslam Ansari
Publsiher: Academic Press
Total Pages: 330
Release: 2022-05-27
ISBN: 0323906680
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Application of Machine Learning in Agriculture Book Excerpt:

Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspective, providing important knowledge and insights for effective and efficient implementation and utilization of machine learning. As artificial intelligence techniques are being used to increase yield through optimal planting, fertilizing, irrigation, and harvesting, these are only part of the complex picture which must also take into account the economic investment and its optimized return. The performance of machine learning models improves over time as the various mathematical and statistical models are proven. Presented in three parts, Application of Machine Learning in Smart Agriculture looks at the fundamentals of smart agriculture; the economics of the technology in the agricultural marketplace; and a diverse representation of the tools and techniques currently available, and in development. This book is an important resource for advanced level students and professionals working with artificial intelligence, internet of things, technology and agricultural economics. Addresses the technology of smart agriculture from a technical perspective Reveals opportunities for technology to improve and enhance not only yield and quality, but the economic value of a food crop Discusses physical instruments, simulations, sensors, and markets for machine learning in agriculture

The Digitalisation of Science Technology and Innovation Key Developments and Policies

The Digitalisation of Science  Technology and Innovation Key Developments and Policies
Author: OECD
Publsiher: OECD Publishing
Total Pages: 182
Release: 2020-02-11
ISBN: 9264501770
Category: Electronic Book
Language: EN, FR, DE, ES & NL

The Digitalisation of Science Technology and Innovation Key Developments and Policies Book Excerpt:

This report examines digitalisation’s effects on science, technology and innovation and the associated consequences for policy. In varied and far-reaching ways, digital technologies are changing how scientists work, collaborate and publish.

Principles of Responsible Management Education PRME in the Age of Artificial Intelligence AI

Principles of Responsible Management Education  PRME  in the Age of Artificial Intelligence  AI
Author: Agata Stachowicz-Stanusch,Wolfgang Amann,Radha R. Sharma,Fauzia Jabeen
Publsiher: IAP
Total Pages: 207
Release: 2021-08-01
ISBN: 1648025455
Category: Computers
Language: EN, FR, DE, ES & NL

Principles of Responsible Management Education PRME in the Age of Artificial Intelligence AI Book Excerpt:

Artificial intelligence (AI) technologies are one of the top investment priorities in these days. We expect that by 2030, some 800 million jobs will have disappeared and taken over by machines, and artificial intelligence will reach human levels by around 2029. Continuing this train of thought to 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold. The time of machines requires new forms of work and new ways of business education. This book is authored by a range of international experts with a diversity of backgrounds and perspectives hopefully bringing us closer to the responses for the questions like how may AI be used /or is a threat for PRME implementation, how will AI impact the business education world or what we should teach in business school in the time of AI (what the ‘right’ set of future skills is)? In our book, we address the following questions: 1. How will AI impact the business education world? 2. How will AI be used in business schools and management learning? 3. Is AI a threat for the successful implementation of PRME? 4. What should new learning goals be? 5. How should we create next generation learning journeys?

Current Trends and Advances in Computer Aided Intelligent Environmental Data Engineering

Current Trends and Advances in Computer Aided Intelligent Environmental Data Engineering
Author: Goncalo Marques,Joshua O. Ighalo
Publsiher: Academic Press
Total Pages: 474
Release: 2022-03-20
ISBN: 0323855989
Category: Computers
Language: EN, FR, DE, ES & NL

Current Trends and Advances in Computer Aided Intelligent Environmental Data Engineering Book Excerpt:

Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These tools include fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial neural networks, support vector machine, boosted regression tree, simulated annealing, ant colony algorithm, decision tree, immune algorithm, and imperialist competitive algorithm. This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overview of the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering. Captures the application of data science and artificial intelligence for a broader spectrum of environmental engineering problems Presents methods and procedures as well as case studies where state-of-the-art technologies are applied in actual environmental scenarios Offers a compilation of essential and critical reviews on the application of data science and artificial intelligence to the entire spectrum of environmental engineering

Artificial Intelligence and Speech Technology

Artificial Intelligence and Speech Technology
Author: Amita Dev,Arun Sharma,S.S. Agarwal
Publsiher: CRC Press
Total Pages: 521
Release: 2021-06-30
ISBN: 1000472957
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Speech Technology Book Excerpt:

The 2nd International Conference on Artificial Intelligence and Speech Technology (AIST2020) was organized by Indira Gandhi Delhi Technical University for Women, Delhi, India on November 19–20, 2020. AIST2020 is dedicated to cutting-edge research that addresses the scientific needs of academic researchers and industrial professionals to explore new horizons of knowledge related to Artificial Intelligence and Speech Technologies. AIST2020 includes high-quality paper presentation sessions revealing the latest research findings, and engaging participant discussions. The main focus is on novel contributions which would open new opportunities for providing better and low-cost solutions for the betterment of society. These include the use of new AI-based approaches like Deep Learning, CNN, RNN, GAN, and others in various Speech related issues like speech synthesis, speech recognition, etc.

Advanced Informatics for Computing Research

Advanced Informatics for Computing Research
Author: Ashish Kumar Luhach,Dharm Singh Jat,Kamarul Bin Ghazali Hawari,Xiao-Zhi Gao,Pawan Lingras
Publsiher: Springer Nature
Total Pages: 477
Release: 2019-09-16
ISBN: 9811501084
Category: Computers
Language: EN, FR, DE, ES & NL

Advanced Informatics for Computing Research Book Excerpt:

This two-volume set (CCIS 1075 and CCIS 1076) constitutes the refereed proceedings of the Third International Conference on Advanced Informatics for Computing Research, ICAICR 2019, held in Shimla, India, in June 2019. The 78 revised full papers presented were carefully reviewed and selected from 382 submissions. The papers are organized in topical sections on computing methodologies; hardware; information systems; networks; software and its engineering.

Pattern Recognition Applications and Methods

Pattern Recognition  Applications and Methods
Author: Ana Fred,Maria De Marsico,Mário Figueiredo
Publsiher: Springer
Total Pages: 301
Release: 2016-01-08
ISBN: 3319276778
Category: Computers
Language: EN, FR, DE, ES & NL

Pattern Recognition Applications and Methods Book Excerpt:

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Pattern Recognition, ICPRAM 2015, held in Lisbon, Portugal, in January 2015. The 20 revised full papers were carefully reviewed and selected from 145 submissions and describe up-to-date applications of pattern recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance pattern recognition methods.

HPC Big Data and AI Convergence Towards Exascale

HPC  Big Data  and AI Convergence Towards Exascale
Author: Olivier Terzo,Jan Martinovič
Publsiher: CRC Press
Total Pages: 322
Release: 2022-01-14
ISBN: 1000485110
Category: Computers
Language: EN, FR, DE, ES & NL

HPC Big Data and AI Convergence Towards Exascale Book Excerpt:

HPC, Big Data, AI Convergence Towards Exascale provides an updated vision on the most advanced computing, storage, and interconnection technologies, that are at basis of convergence among the HPC, Cloud, Big Data, and artificial intelligence (AI) domains. Through the presentation of the solutions devised within recently founded H2020 European projects, this book provides an insight on challenges faced by integrating such technologies and in achieving performance and energy efficiency targets towards the exascale level. Emphasis is given to innovative ways of provisioning and managing resources, as well as monitoring their usage. Industrial and scientific use cases give to the reader practical examples of the needs for a cross-domain convergence. All the chapters in this book pave the road to new generation of technologies, support their development and, in addition, verify them on real-world problems. The readers will find this book useful because it provides an overview of currently available technologies that fit with the concept of unified Cloud-HPC-Big Data-AI applications and presents examples of their actual use in scientific and industrial applications.

AI Based Services for Smart Cities and Urban Infrastructure

AI Based Services for Smart Cities and Urban Infrastructure
Author: Lyu, Kangjuan,Hu, Min,Du, Juan,Sugumaran, Vijayan
Publsiher: IGI Global
Total Pages: 353
Release: 2020-09-04
ISBN: 1799850250
Category: Computers
Language: EN, FR, DE, ES & NL

AI Based Services for Smart Cities and Urban Infrastructure Book Excerpt:

Cities are the next frontier for artificial intelligence to permeate. As smart urban environments become possible, probable, and even preferred, artificial intelligence offers the chance for even further advancement through infrastructure and industry boosting. Opportunity overflows, but without thorough research to guide a complicated development and implementation process, urban environments can become disorganized and outright dangerous for citizens. AI-Based Services for Smart Cities and Urban Infrastructure is a collection of innovative research that explores artificial intelligence (AI) applications in urban planning. In addition, the book looks at how the internet of things and AI can work together to enable a real smart city and discusses state-of-the-art techniques in urban infrastructure design, construction, operation, maintenance, and management. While highlighting a broad range of topics including construction management, public transportation, and smart agriculture, this book is ideally designed for engineers, entrepreneurs, urban planners, architects, policymakers, researchers, academicians, and students.

Advances in Big Data

Advances in Big Data
Author: Plamen Angelov,Yannis Manolopoulos,Lazaros Iliadis,Asim Roy,Marley Vellasco
Publsiher: Springer
Total Pages: 348
Release: 2016-10-20
ISBN: 3319478982
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advances in Big Data Book Excerpt:

The book offers a timely snapshot of neural network technologies as a significant component of big data analytics platforms. It promotes new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms); implementations on different computing platforms (e.g. neuromorphic, graphics processing units (GPUs), clouds, clusters); and big data analytics applications to solve real-world problems (e.g. weather prediction, transportation, energy management). The book, which reports on the second edition of the INNS Conference on Big Data, held on October 23–25, 2016, in Thessaloniki, Greece, depicts an interesting collaborative adventure of neural networks with big data and other learning technologies.

Automation and Control

Automation and Control
Author: Elmer P. Dadios
Publsiher: BoD – Books on Demand
Total Pages: 140
Release: 2022-05-25
ISBN: 1839691735
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Automation and Control Book Excerpt:

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.

Cyber Security Cryptology and Machine Learning

Cyber Security  Cryptology  and Machine Learning
Author: Shlomi Dolev,Jonathan Katz,Amnon Meisels
Publsiher: Springer Nature
Total Pages: 508
Release: 2022-06-23
ISBN: 3031076893
Category: Computers
Language: EN, FR, DE, ES & NL

Cyber Security Cryptology and Machine Learning Book Excerpt:

This book constitutes the refereed proceedings of the 6th International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2022, held in Be'er Sheva, Israel, in June - July 2022. The 24 full and 11 short papers presented together with a keynote paper in this volume were carefully reviewed and selected from 53 submissions. They deal with the theory, design, analysis, implementation, or application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas.

Artificial Intelligence Applications in Specialty Crops

Artificial Intelligence Applications in Specialty Crops
Author: Yiannis Ampatzidis,Reza Ehsani,Spyros Fountas,Panos M. Pardalos
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2022-03-02
ISBN: 2889745570
Category: Science
Language: EN, FR, DE, ES & NL

Artificial Intelligence Applications in Specialty Crops Book Excerpt:

Directory of Published Proceedings

Directory of Published Proceedings
Author: Anonim
Publsiher: Unknown
Total Pages: 135
Release: 1999
ISBN: 1928374650XXX
Category: Engineering
Language: EN, FR, DE, ES & NL

Directory of Published Proceedings Book Excerpt:

Geospatial Intelligence

Geospatial Intelligence
Author: Fatimazahra Barramou,El Hassan El Brirchi,Khalifa Mansouri,Youness Dehbi
Publsiher: Springer Nature
Total Pages: 180
Release: 2021-11-10
ISBN: 3030804585
Category: Computers
Language: EN, FR, DE, ES & NL

Geospatial Intelligence Book Excerpt:

This book explores cutting-edge methods combining geospatial technologies and artificial intelligence related to several fields such as smart farming, urban planning, geology, transportation, and 3D city models. It introduces techniques which range from machine and deep learning to remote sensing for geospatial data analysis. The book consists of two main parts that include 13 chapters contributed by promising authors. The first part deals with the use of artificial intelligence techniques to improve spatial data analysis, whereas the second part focuses on the use of artificial intelligence with remote sensing in various fields. Throughout the chapters, the interest for the use of artificial intelligence is demonstrated for different geospatial technologies such as aerial imagery, drones, Lidar, satellite remote sensing, and more. The work in this book is dedicated to the scientific community interested in the coupling of geospatial technologies and artificial intelligence and exploring the synergetic effects of both fields. It offers practitioners and researchers from academia, the industry and government information, experiences and research results about all aspects of specialized and interdisciplinary fields on geospatial intelligence.