Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Satellite-based Prediction of Forage Conditions for Livestock in
  Northern Kenya   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.

34
The categories of this paper are: chem-ph
33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
17
The categories of this paper are: q-fin
9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga
18
The categories of this paper are: econ
23
The categories of this paper are: solv-int
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom