Intelligent Data Mining and Fusion Systems in Agriculture

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  • Author : Xanthoula Eirini Pantazi
  • Publisher : Academic Press
  • Pages : 330 pages
  • ISBN : 0128143924
  • Rating : /5 from reviews
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Download or Read online Intelligent Data Mining and Fusion Systems in Agriculture full in PDF, ePub and kindle. this book written by Xanthoula Eirini Pantazi and published by Academic Press which was released on 08 October 2019 with total page 330 pages. We cannot guarantee that Intelligent Data Mining and Fusion Systems in Agriculture book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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 : 08 October 2019
GET THIS BOOK Intelligent Data Mining and Fusion Systems in Agriculture

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

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  • Publisher : Springer Nature
  • Release : 01 September 2020
GET THIS BOOK Proceedings of 15th International Conference on Electromechanics and Robotics Zavalishin s Readings

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

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  • Publisher : Academic Press
  • Release : 06 November 2020
GET THIS BOOK Bio economy and Agri production

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

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GET THIS BOOK Information and Communication Technologies for Agriculture Theme II Data

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  • Release : 25 March 2021
GET THIS BOOK Agriculture 5 0

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GET THIS BOOK Smart Sensors for Industrial Internet of Things

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  • Release : 18 November 2014
GET THIS BOOK Biotechnology Agriculture Environment and Energy

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

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GET THIS BOOK Cloud IoT Systems for Smart Agricultural Engineering

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.

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  • Publisher : Springer
  • Release : 29 September 2015
GET THIS BOOK Computer and Computing Technologies in Agriculture VIII

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

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GET THIS BOOK Intelligent Data Analysis

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GET THIS BOOK Smart Agricultural Services Using Deep Learning Big Data and IoT

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

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GET THIS BOOK Data Mining in Agriculture

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GET THIS BOOK Computer and Computing Technologies in Agriculture XI

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GET THIS BOOK Big Data IoT and Machine Learning

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