Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep
  Learning   We present a system to measure the ripeness of fruit with a hyperspectral
camera and a suitable deep neural network architecture. This architecture did
outperform competitive baseline models on the prediction of the ripeness state
of fruit. For this, we recorded a data set of ripening avocados and kiwis,
which we make public. We also describe the process of data collection in a
manner that the adaption for other fruit is easy. The trained network is
validated empirically, and we investigate the trained features. Furthermore, a
technique is introduced to visualize the ripening process.

17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
14
The categories of this paper are: math-ph
8
The categories of this paper are: hep-ex
28
The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ
32
The categories of this paper are: atom-ph
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex