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Titlebook: Information and Communication Technologies for Agriculture—Theme II: Data; Dionysis D. Bochtis,Dimitrios E. Moshou,Panos M. P Book 2022 Sp

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發(fā)表于 2025-3-21 18:23:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Information and Communication Technologies for Agriculture—Theme II: Data
編輯Dionysis D. Bochtis,Dimitrios E. Moshou,Panos M. P
視頻videohttp://file.papertrans.cn/466/465806/465806.mp4
概述Discuses variety of knowledge regarding extensive and evolving data management in agricultural systems.Provides up-to-date information and knowledge on agricultural data management.Chapter authors are
叢書名稱Springer Optimization and Its Applications
圖書封面Titlebook: Information and Communication Technologies for Agriculture—Theme II: Data;  Dionysis D. Bochtis,Dimitrios E. Moshou,Panos M. P Book 2022 Sp
描述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 e
出版日期Book 2022
關(guān)鍵詞ontologies agriculture; open data; image processing agriculture; data management agriculture; data minin
版次1
doihttps://doi.org/10.1007/978-3-030-84148-5
isbn_softcover978-3-030-84150-8
isbn_ebook978-3-030-84148-5Series ISSN 1931-6828 Series E-ISSN 1931-6836
issn_series 1931-6828
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

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書目名稱Information and Communication Technologies for Agriculture—Theme II: Data網(wǎng)絡(luò)公開度學(xué)科排名




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Thymios Dimopoulos,Christos Vasilakos,Thanasis Kizos bottom up efforts toward a more critical approach to sustainability on campus.?We ground our recommendations on findings from campus-wide surveys that were taken by over 8,000 undergraduates in 2016, 2019, and978-3-031-30931-1978-3-031-30929-8Series ISSN 2523-3084 Series E-ISSN 2523-3092
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1931-6828 hine 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 e978-3-030-84150-8978-3-030-84148-5Series ISSN 1931-6828 Series E-ISSN 1931-6836
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Roberto F. Silva,Angel F. M. Paula,Gustavo M. Mosta?o,Anna H. R. Costa,Carlos E. Cugnasca
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Roberto F. Silva,Gustavo M. Mosta?o,Fernando Xavier,Antonio M. Saraiva,Carlos E. Cugnasca
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Machine Learning Technology and Its Current Implementation in Agriculture interaction. This chapter aims to an introduction towards?understanding what machine learning?is, by highlighting its differences with conventional programming and pointing out some of?its fundamental features. Moreover, different types of machine learning algorithms are described, and examples are
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