Data Acquisition and Processing for GeoAI Models to Support Sustainable Agricultural Practices

Simple item page
dc.contributor.authorGarcía Pereira, Agustín
dc.contributor.authorOjo, Adegboyega
dc.contributor.authorCurry, Edward
dc.contributor.authorPorwol, Lukasz
dc.date.accessioned2020-01-04T07:19:56Z
dc.date.available2020-01-04T07:19:56Z
dc.date.issued2020-01-07
dc.description.abstractThere are growing opportunities to leverage new technologies and data sources to address global problems related to sustainability, climate change, and biodiversity loss. The emerging discipline of GeoAI resulting from the convergence of AI and Geospatial science (Geo-AI) is enabling the possibility to harness the increasingly available open Earth Observation data collected from different constellations of satellites and sensors with high spatial, spectral and temporal resolutions. However, transforming these raw data into high-quality datasets that could be used for training AI and specifically deep learning models are technically challenging. This paper describes the process and results of synthesizing labelled-datasets that could be used for training AI (specifically Convolutional Neural Networks) models for determining agricultural land use pattern to support decisions for sustainable farming. In our opinion, this work is a significant step forward in addressing the paucity of usable datasets for developing scalable GeoAI models for sustainable agriculture.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2020.115
dc.identifier.isbn978-0-9981331-3-3
dc.identifier.urihttp://hdl.handle.net/10125/63854
dc.language.isoeng
dc.relation.ispartofProceedings of the 53rd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAnalytics and Decision Support for Green IS and Sustainability Applications
dc.subjectartificial intelligence
dc.subjectcrop rotations
dc.subjectdata
dc.subjectgeoai
dc.subjectgeospatial
dc.titleData Acquisition and Processing for GeoAI Models to Support Sustainable Agricultural Practices
dc.typeConference Paper
dc.type.dcmiText

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
0092.pdf
Size:
562.28 KB
Format:
Adobe Portable Document Format
Download

Collections

Analytics and Decision Support for Green IS and Sustainability Applications