Sprache: Englisch
Verlag: Springer Nature Singapore, 2021
ISBN 10: 9811550751 ISBN 13: 9789811550751
Anbieter: moluna, Greven, Deutschland
EUR 294,19
Anzahl: Mehr als 20 verfügbar
In den WarenkorbKartoniert / Broschiert. Zustand: New.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 347,79
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In den WarenkorbZustand: New. In.
Taschenbuch. Zustand: Neu. New Developments of IT, IoT and ICT Applied to Agriculture | Proceedings of ICAIT 2019 | Kazumi Nakamatsu (u. a.) | Taschenbuch | xvi | Englisch | 2021 | Springer | EAN 9789811550751 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer, Palgrave Macmillan, 2021
ISBN 10: 9811550751 ISBN 13: 9789811550751
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The proceedings publishes new research results of scholars from the First International Conference on Agriculture and Information (ICAIT2019) organized by IRNet International Academic Communication Center, held during November 22-24, 2019. The book covers works from active researchers who are working on collaboration of agriculture and various information technologies such as ICT (Information and Communication Technologies) applicable/applied to agricultural produce, manufacturing preservation and distribution of agricultural products, etc. The book focuses on theory, design, development, testing and evaluation of all information technologies applicable/applied to various parts of agriculture and its infrastructure. The topics included are information technologies applicable to smart agriculture, intelligent information systems for smart farm systems, web-based intelligent information systems on agriculture, ICT-based marketing of agricultural products, agricultural product consumptionnetwork systems, IoT for agricultural produce and products, soft computing theories, intelligent management for agriculture, data science techniques for agriculture.