Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Convolutional Neural Networks for Image-based Corn Kernel Detection and
  Counting   Precise in-season corn grain yield estimates enable farmers to make real-time
accurate harvest and grain marketing decisions minimizing possible losses of
profitability. A well developed corn ear can have up to 800 kernels, but
manually counting the kernels on an ear of corn is labor-intensive, time
consuming and prone to human error. From an algorithmic perspective, the
detection of the kernels from a single corn ear image is challenging due to the
large number of kernels at different angles and very small distance among the
kernels. In this paper, we propose a kernel detection and counting method based
on a sliding window approach. The proposed method detect and counts all corn
kernels in a single corn ear image taken in uncontrolled lighting conditions.
The sliding window approach uses a convolutional neural network (CNN) for
kernel detection. Then, a non-maximum suppression (NMS) is applied to remove
overlapping detections. Finally, windows that are classified as kernel are
passed to another CNN regression model for finding the (x,y) coordinates of the
center of kernel image patches. Our experiments indicate that the proposed
method can successfully detect the corn kernels with a low detection error and
is also able to detect kernels on a batch of corn ears positioned at different
angles.

18
The categories of this paper are: econ
9
The categories of this paper are: nlin
2
The categories of this paper are: math
12
The categories of this paper are: nucl-th
19
The categories of this paper are: eess
14
The categories of this paper are: math-ph
20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
33
The categories of this paper are: plasm-ph
26
The categories of this paper are: bayes-an
21
The categories of this paper are: adap-org
13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
22
The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph