Results 151 to 160 of about 3,035 (200)

Cyberinfrastructure for machine learning applications in agriculture: experiences, analysis, and vision. [PDF]

Front Artif Intell
Waltz L, Katari S, Hong C, Anup A, Colbert J, Potlapally A, Dill T, Porter C, Engle J, Stewart C, Subramoni H, Shearer S, Machiraju R, Ortez O, Lindsey L, Nandi A, Khanal S.   +16 more
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State of the Geotag: where are we?

Proceedings of the ACM multimedia 2012 workshop on Geotagging and its applications in multimedia, 2012
Assigning location information to online media has grown from a fringe activity to an automated process aided by supportive hardware and software. This has lead to increasing availability of geographic context for the picture, videos and audio users share on the web. Such data has allowed systems to search through, browse and analyse media according to
Adam Rae
semanticscholar   +2 more sources

Slow tourism on Instagram: an image content and geotag analysis

Tourism Recreation Resarch, 2021
Slow tourism is a holistic tourism concept that promotes sustainability in all aspects of a traveller’s journey. Slow tourism promotes positive outcomes for local communities such as stimulating local economies and minimising aversive environmental ...
B. Le Busque, J. Mingoia, C. Litchfield
semanticscholar   +1 more source

Geotagging

Proceedings of the 6th Workshop on Geographic Information Retrieval, 2010
Geotagging is the process of recognizing textual references to geographic locations, known as toponyms, and resolving these references by assigning each lat/long values. Typical geotagging algorithms use a variety of heuristic evidence to select the correct interpretation for each toponym.
Michael D. Lieberman, Hanan Samet, Jagan Sankaranayananan   +2 more
openaire   +1 more source

The antecedents of hashtag and geotag use in smart tourism: case study in Indonesia

Asia Pacific Journal of Tourism Research, 2019
This study aims to determine what factors that motivate users to use the hashtag and geotag features on Instagram while traveling. It also seeks to determine the relationship between using Instagram features, traveling experience, expectation ...
Dina Febrianti Krisna, P. W. Handayani, F. Azzahro   +2 more
semanticscholar   +1 more source

Identifying Yield Predictors Behaving as a Geotag: A Time-Varying Analysis of a Nationwide Cotton Data

IEEE International Geoscience and Remote Sensing Symposium
Crop yield estimation at the national scale is on the rise with a clear increase in freely available satellite images; providing field-level crop masks and their corresponding Earth Observation (EO) data-based predictors. In line with increasing EO data,
Yagiz Fistanli, U. Yildirim, Mustafa Serkan Isik, M. F. Celik, E. Erten   +4 more
semanticscholar   +1 more source

Geotagging Photographs in Student Fieldwork

Journal of Geography in Higher Education, 2012
This resource paper provides guidance for staff and students on the potential educational benefits, limitations and applications of geotagging photographs. It also offers practical advice for geotagging photographs in a range of fieldwork settings and reviews three free smartphone applications (apps) for geotagging photographs (Flickr, Evernote and ...
Welsh, Katharine E., France, Derek, Whalley, W. Brian, Park, Julian R.   +3 more
openaire   +2 more sources

Geotagging with the digital camera Geotagging mit der Digitalkamera

GIS Business, 2016
Geotagging with the digital camera Geotagging mit der ...
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Service Selection via Extreme Geotagging

2009 International Conference on Advanced Geographic Information Systems & Web Services, 2009
Location of services plays an important role in the process of service selection. Geotagging emerged as a technique for attaching location information to Web elements, including Web services. In this context, this paper proposes a Web service selection framework based on geotagging.
Vlad Tanasescu, Dumitru Roman, John Bruno Domingue   +2 more
openaire   +1 more source