Satellite-based Prediction of Forage Conditions for Livestock in Northern Kenya

• URL: http://arxiv.org/abs/2004.04081v2
• Date: Thu, 23 Apr 2020 18:12:23 GMT
• Title: Satellite-based Prediction of Forage Conditions for Livestock in Northern Kenya
• Authors: Andrew Hobbs, Stacey Svetlichnaya
• Abstract summary: This paper introduces the first dataset of satellite images labeled with forage quality by on-the-ground experts. We present the results of a collaborative benchmark tool used to crowdsource an accurate machine learning model on the dataset.
• Score: 0.6396288020763143
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This paper introduces the first dataset of satellite images labeled with forage quality by on-the-ground experts and provides proof of concept for applying computer vision methods to index-based drought insurance. We also present the results of a collaborative benchmark tool used to crowdsource an accurate machine learning model on the dataset. Our methods significantly outperform the existing technology for an insurance program in Northern Kenya, suggesting that a computer vision-based approach could substantially benefit pastoralists, whose exposure to droughts is severe and worsening with climate change.

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