Journal article
AI-based evaluation of the SDGs: the case of crop detection with earth observation data
- Abstract:
- The framework of the seventeen sustainable development goals is a challenge for developers and researchers applying artificial intelligence (AI). AI and earth observations (EO) can provide reliable and disaggregated data for better monitoring of the sustainable development goals (SDGs). In this paper, we present an overview of SDG targets, which can be effectively measured with AI tools. We identify indicators with the most significant contribution from the AI and EO and describe an application of state-of-the-art machine learning models to one of the indicators. We describe an application of U-net with SE blocks for efficient segmentation of satellite imagery for crop detection. Finally, we demonstrate how AI can be more effectively applied in solutions directly contributing towards specific SDGs and propose further research on an AI-based evaluative infrastructure for SDGs.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Publication website:
- https://openreview.net/forum?id=mXmSjL1d2t0
Authors
- Publisher:
- OpenReview
- Journal:
- Proceedings of the ICLR Conference 2019 More from this journal
- Publication date:
- 2019-06-28
- Event title:
- 7th International Conference on Learning Representations (ICLR 2019)
- Event location:
- New Orleans, LA, USA
- Event website:
- https://iclr.cc/Conferences/2019
- Event start date:
- 2019-05-06
- Event end date:
- 2019-05-09
Terms of use
- Copyright date:
- 2019
- Rights statement:
- This paper is made available under the terms of the Creative Commons license.
- Notes:
- This paper was presented at the 7th International Conference on Learning Representations (ICLR 2019), 6th-9th May 2019, New Orleans, LA, USA.
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