Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Proposed IoT Smart Trap using Computer Vision for Sustainable Pest
  Control in Coffee Culture   The Internet of Things (IoT) is emerging as a multi-purpose technology with
enormous potential for improving the quality of life in several areas. In
particular, IoT has been applied in agriculture to make it more sustainable
ecologically. For instance, electronic traps have the potential to perform pest
control without any pesticide. In this paper, a smart trap with IoT
capabilities that uses computer vision to identify the insect of interest is
proposed. The solution includes 1) an embedded system with camera, GPS sensor
and motor actuators; 2) an IoT middleware as database service provider, and 3)
a Web application to present data by a configurable heat map. The demonstration
of proposed solution is exposed and the main conclusions are the perception
about pest concentration at the plantation and the viability as alternative
pest control over traditional control based on pesticides.

2
The categories of this paper are: math
20
The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
36
The categories of this paper are: cmp-lg
11
The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics
32
The categories of this paper are: atom-ph
18
The categories of this paper are: econ
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
7
The categories of this paper are: hep-th