arXiv Open Access 2020

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

Andrew Hobbs Stacey Svetlichnaya

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Abstrak

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.

Topik & Kata Kunci

cs.CV

Penulis (2)

Andrew Hobbs

Stacey Svetlichnaya

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APA MLA BibTeX

Hobbs, A., Svetlichnaya, S. (2020). Satellite-based Prediction of Forage Conditions for Livestock in Northern Kenya. https://arxiv.org/abs/2004.04081

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓