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Earth Observation Open Science and Innovation

Overview of attention for book
Cover of 'Earth Observation Open Science and Innovation'

Table of Contents

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    Book Overview
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    Chapter 1 The Changing Landscape of Geospatial Information Markets
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    Chapter 2 The Digital Transformation of Education
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    Chapter 3 The Open Science Commons for the European Research Area
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    Chapter 4 Citizen Science for Observing and Understanding the Earth
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    Chapter 5 Fostering Cross-Disciplinary Earth Science Through Datacube Analytics
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    Chapter 6 Mind the Gap: Big Data vs. Interoperability and Reproducibility of Science
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    Chapter 7 Cyber-Infrastructure for Data-Intensive Geospatial Computing
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    Chapter 8 Machine Learning Applications for Earth Observation
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    Chapter 9 New Generation Platforms for Exploration of Crowdsourced Geo-Data
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    Chapter 10 Mapping Land Use Dynamics Using the Collective Power of the Crowd
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    Chapter 11 The Emergence of the GeoSharing Economy
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    Chapter 12 Sustainable Agriculture and Smart Farming
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    Chapter 13 Earth Observation Data for Enterprise Business Applications
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    Chapter 14 Development of an Earth Observation Cloud Platform in Support to Water Resources Monitoring
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    Chapter 15 Putting Big Data Innovation into Action for Development
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    Chapter 16 Mapping Floods and Assessing Flood Vulnerability for Disaster Decision-Making: A Case Study Remote Sensing Application in Senegal
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    Chapter 17 Earth Observation and Geospatial Implementation: Fueling Innovation in a Changing World
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    Chapter 18 Artificial Intelligence and Earth Observation to Explore Water Quality in the Wadden Sea
Attention for Chapter 12: Sustainable Agriculture and Smart Farming
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25 Dimensions

Readers on

58 Mendeley
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Chapter title
Sustainable Agriculture and Smart Farming
Chapter number 12
Book title
Earth Observation Open Science and Innovation
Published in
ADS, January 2018
DOI 10.1007/978-3-319-65633-5_12
Book ISBNs
978-3-31-965632-8, 978-3-31-965633-5

Heike Bach, Wolfram Mauser, Bach, Heike, Mauser, Wolfram

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 16%
Student > Bachelor 9 16%
Student > Ph. D. Student 8 14%
Student > Doctoral Student 4 7%
Student > Master 4 7%
Other 6 10%
Unknown 18 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 19%
Computer Science 7 12%
Earth and Planetary Sciences 5 9%
Social Sciences 4 7%
Business, Management and Accounting 2 3%
Other 10 17%
Unknown 19 33%