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

Andrew Hobbs; Stacey Svetlichnaya

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arXiv · 2004.04081

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

Andrew Hobbs·Stacey Svetlichnaya

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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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Andrew Hobbs, Stacey Svetlichnaya. 2020-04-08. Satellite-based Prediction of Forage Conditions for Livestock in Northern Kenya. https://arxiv.org/abs/2004.04081

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