Intelligent Data Mining and Fusion Systems in Agriculture

Written By Xanthoula Eirini Pantazi
Intelligent Data Mining and Fusion Systems in Agriculture
  • Publsiher : Academic Press
  • Release : 08 October 2019
  • ISBN : 0128143924
  • Pages : 330 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled Intelligent Data Mining and Fusion Systems in Agriculture written by Xanthoula Eirini Pantazi which was release on 08 October 2019, this book published by Academic Press. Available in PDF, EPUB and Kindle Format. Book excerpt: 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

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
  • Total pages : 330
  • ISBN : 0128143924
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Summary : 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 ...

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
  • Publisher : Springer Nature
  • Release Date : 2020-09-01
  • Total pages : 551
  • ISBN : 0128143924
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Summary : 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, ...

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  • Author : Dionysis Bochtis,Charisios Achillas,Georgios Banias,Maria Lampridi
  • Publisher : Academic Press
  • Release Date : 2020-11-06
  • Total pages : 382
  • ISBN : 0128143924
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Summary : 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 ...

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  • Author : Dionysis Bochtis,Dimitrios Moshou,Giorgos Vasileiadis,Athanasios Balafoutis,Panos Pardalos
  • Publisher : Springer
  • Release Date : 2021-10-29
  • Total pages : 280
  • ISBN : 0128143924
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Summary : 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, ...

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  • Author : Latief Ahmad,Firasath Nabi
  • Publisher : CRC Press
  • Release Date : 2021-03-25
  • Total pages : 224
  • ISBN : 0128143924
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Summary : 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 ...

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Smart Sensors for Industrial Internet of Things
  • Author : Deepak Gupta,Victor Hugo C. de Albuquerque,Ashish Khanna,Purnima Lala Mehta
  • Publisher : Springer Nature
  • Release Date : 2021-02-01
  • Total pages : 306
  • ISBN : 0128143924
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Summary : 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 ...

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Biotechnology  Agriculture  Environment and Energy
  • Author : Fangli Zheng
  • Publisher : CRC Press
  • Release Date : 2014-11-18
  • Total pages : 456
  • ISBN : 0128143924
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Summary : 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 act...

Intelligent Data Analysis

Intelligent Data Analysis
  • Author : Deepak Gupta,Siddhartha Bhattacharyya,Ashish Khanna,Kalpna Sagar
  • Publisher : John Wiley & Sons
  • Release Date : 2020-04-17
  • Total pages : 432
  • ISBN : 0128143924
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Summary : 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 ...

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  • Author : Daoliang Li,Yingyi Chen
  • Publisher : Springer
  • Release Date : 2015-09-29
  • Total pages : 756
  • ISBN : 0128143924
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Summary : 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 ...

Data Mining in Agriculture

Data Mining in Agriculture
  • Author : Antonio Mucherino,Petraq J. Papajorgji,Panos M. Pardalos
  • Publisher : Springer Science & Business Media
  • Release Date : 2009-08-19
  • Total pages : 274
  • ISBN : 0128143924
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Summary : 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 ...

Smart Agricultural Services Using Deep Learning Big Data and IoT

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  • Author : Amit Kumar Gupta,Dinesh Goyal,Vijander Singh,Harish Sharma
  • Publisher : IGI Global
  • Release Date : 2020-08
  • Total pages : 280
  • ISBN : 0128143924
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Summary :

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 ...

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  • Author : Mostafa Ezziyyani
  • Publisher : Springer Nature
  • Release Date : 2020-02-05
  • Total pages : 407
  • ISBN : 0128143924
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Summary : 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 ...

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  • Author : Rashmi Agrawal,Marcin Paprzycki,Neha Gupta
  • Publisher : CRC Press
  • Release Date : 2020-07-29
  • Total pages : 337
  • ISBN : 0128143924
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Summary : The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools. This book ...

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Internet of Things and Analytics for Agriculture  Volume 3
  • Author : Prasant Kumar Pattnaik
  • Publisher : Springer Nature
  • Release Date : 2021-12-02
  • Total pages : 212
  • ISBN : 0128143924
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Summary : Download or read online Internet of Things and Analytics for Agriculture Volume 3 written by Prasant Kumar Pattnaik, published by Springer Nature which was released on . Get Internet of Things and Analytics for Agriculture Volume 3 Books now! Available in PDF, ePub and Kindle....

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
  • Total pages : 470
  • ISBN : 0128143924
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Summary : 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 ...