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Internet of Things and Analytics for Agriculture, Volume 2 [[electronic resource] /] / edited by Prasant Kumar Pattnaik, Raghvendra Kumar, Souvik Pal



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Titolo: Internet of Things and Analytics for Agriculture, Volume 2 [[electronic resource] /] / edited by Prasant Kumar Pattnaik, Raghvendra Kumar, Souvik Pal Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (xii, 288 pages)
Disciplina: 338.10285
Soggetto topico: Robotics
Automation
Big data
Engineering—Data processing
Robotics and Automation
Big Data
Data Engineering
Big Data/Analytics
Persona (resp. second.): PattnaikPrasant Kumar
KumarRaghvendra
PalSouvik
Nota di contenuto: Preamble -- Preface -- Acknowledgments -- About the Authors -- IoT-Agro Paradigm -- IoT: Foundations and Applications -- Smart Monitoring for Irrigation and Water Level Retention Functional Framework for IoT-based Agricultural System -- Intelligent Agro-Food Chain System -- Case Studies and Applications in IoT based Agriculture System -- Glossary -- Index.
Sommario/riassunto: This book addresses major challenges faced by farmers and the technological solutions based on Internet of Things (IoT). A major challenge in agriculture is cultivating and supplying high-quality produce at the best. Currently, around 50% of global farm produce never reaches the end consumer due to wastage and suboptimal prices. The book presents solutions that reduce the transport costs, improve the predictability of prices based on data analytics and the current market conditions, and reduce the number of middle steps and agents between the farmer and the end consumer. It discusses the design of an IoT-based monitoring system to analyze crop environments and a method to improve the efficiency of decision-making by analyzing harvest statistics. Further, it explores climate-smart methods, known as smart agriculture, that have been adopted by a number of Indian farmers.
Titolo autorizzato: Internet of Things and Analytics for Agriculture, Volume 2  Visualizza cluster
ISBN: 981-15-0663-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910739463103321
Lo trovi qui: Univ. Federico II
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Serie: Studies in Big Data, . 2197-6503 ; ; 67