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Intelligent Data Mining and Fusion Systems in Agriculture

2019-10-08 Business & Economics
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Release : 2019-10-08
Genre : Business & Economics
Kind : eBook
Book Rating : 924/5 ( reviews)

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Book Synopsis Intelligent Data Mining and Fusion Systems in Agriculture by : Xanthoula-Eirini Pantazi

Download or read book Intelligent Data Mining and Fusion Systems in Agriculture written by Xanthoula-Eirini Pantazi. This book was released on 2019-10-08. Available in PDF, EPUB and Kindle. 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

Information and Communication Technologies for Agriculture—Theme II: Data

2022-03-17 Business & Economics
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Release : 2022-03-17
Genre : Business & Economics
Kind : eBook
Book Rating : 480/5 ( reviews)

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Book Synopsis Information and Communication Technologies for Agriculture—Theme II: Data by : Dionysis D. Bochtis

Download or read book Information and Communication Technologies for Agriculture—Theme II: Data written by Dionysis D. Bochtis. This book was released on 2022-03-17. Available in PDF, EPUB and Kindle. Book excerpt: 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

Microbial Data Intelligence and Computational Techniques for Sustainable Computing

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Kind : eBook
Book Rating : 21X/5 ( reviews)

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Book Synopsis Microbial Data Intelligence and Computational Techniques for Sustainable Computing by : Aditya Khamparia

Download or read book Microbial Data Intelligence and Computational Techniques for Sustainable Computing written by Aditya Khamparia. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

Unmanned Aerial Systems in Agriculture

2023-08-11 Technology & Engineering
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Release : 2023-08-11
Genre : Technology & Engineering
Kind : eBook
Book Rating : 012/5 ( reviews)

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Book Synopsis Unmanned Aerial Systems in Agriculture by : Dionysis Bochtis

Download or read book Unmanned Aerial Systems in Agriculture written by Dionysis Bochtis. This book was released on 2023-08-11. Available in PDF, EPUB and Kindle. Book excerpt: Unmanned Aerial Systems in Agriculture: Eyes Above Fields bridges the gap between knowledge of concept and real-world use and operations of UASs in agri-production. Based on a valuable combination of themes presented at the 13th European Federation for Information Technology in Agriculture, Food and the Environment (EFITA) and supplemented by targeted invited articles of key-scientists, this book presents a full-spectrum view of the use of unmanned aerial systems (UAS) for agricultural applications. It integrates dispersed knowledge in the field, providing a holistic approach regarding UAVs and other UAS and their use in sustainable decisions. The integrated approach of the book provides a fresh look on contemporary agriculture-related issues, following precision farming approaches, by educating on a range of different issues of remote sensing and its use in agriculture. Furthermore, the operational planning aspects for UAS in agriculture focus part of the book provides information that is missing from other resources. - Addresses practical issues and the latest technology application insights - Provides specialized and comprehensive information for daily use-cases - Ties remote sensing using aerial systems and precision farming issues

AI, Edge and IoT-based Smart Agriculture

2021-11-10 Technology & Engineering
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Release : 2021-11-10
Genre : Technology & Engineering
Kind : eBook
Book Rating : 957/5 ( reviews)

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Book Synopsis AI, Edge and IoT-based Smart Agriculture by : Ajith Abraham

Download or read book AI, Edge and IoT-based Smart Agriculture written by Ajith Abraham. This book was released on 2021-11-10. Available in PDF, EPUB and Kindle. Book excerpt: AI, Edge, and IoT Smart Agriculture integrates applications of IoT, edge computing, and data analytics for sustainable agricultural development and introduces Edge of Thing-based data analytics and IoT for predictability of crop, soil, and plant disease occurrence for improved sustainability and increased profitability. The book also addresses precision irrigation, precision horticulture, greenhouse IoT, livestock monitoring, IoT ecosystem for agriculture, mobile robot for precision agriculture, energy monitoring, storage management, and smart farming. The book provides an overarching focus on sustainable environment and sustainable economic development through smart and e-agriculture. Providing a medium for the exchange of expertise and inspiration, contributions from both smart agriculture and data mining researchers around the world provide foundational insights. The book provides practical application opportunities for the resolution of real-world problems, including contributions from the data mining, data analytics, Edge of Things, and cloud research communities working in the farming production sector. The book offers broad coverage of the concepts, themes, and instruments of this important and evolving area of IOT-based agriculture, Edge of Things and cloud-based farming, Greenhouse IOT, mobile agriculture, sustainable agriculture, and big data analytics in agriculture toward smart farming. Integrates sustainable agriculture, Greenhouse IOT, precision agriculture, crops monitoring, crops controlling to prediction, livestock monitoring, and farm management Presents data mining techniques for precision agriculture, including weather prediction, plant disease prediction, and decision support for crop and soil selection Promotes the importance and uses in managing the agro ecosystem for food security Emphasizes low energy usage options for low cost and environmental sustainability

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