Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Classification of Crop Tolerance to Heat and Drought: A Deep
  Convolutional Neural Networks Approach   Environmental stresses such as drought and heat can cause substantial yield
loss in agriculture. As such, hybrid crops that are tolerant to drought and
heat stress would produce more consistent yields compared to the hybrids that
are not tolerant to these stresses. In the 2019 Syngenta Crop Challenge,
Syngenta released several large datasets that recorded the yield performances
of 2,452 corn hybrids planted in 1,560 locations between 2008 and 2017 and
asked participants to classify the corn hybrids as either tolerant or
susceptible to drought stress, heat stress, and combined drought and heat
stress. However, no data was provided that classified any set of hybrids as
tolerant or susceptible to any type of stress. In this paper, we present an
unsupervised approach to solving this problem, which was recognized as one of
the winners in the 2019 Syngenta Crop Challenge. Our results labeled 121
hybrids as drought tolerant, 193 as heat tolerant, and 29 as tolerant to both
stresses.

2
The categories of this paper are: math
17
The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
9
The categories of this paper are: nlin
33
The categories of this paper are: plasm-ph
30
The categories of this paper are: q-alg
34
The categories of this paper are: chem-ph
14
The categories of this paper are: math-ph
22
The categories of this paper are: chao-dyn
12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
23
The categories of this paper are: solv-int
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
26
The categories of this paper are: bayes-an