Short data mining presentation on agricultural application of data mining.

1. Recognition System for Pig Cough
based on Neural Networks
Craig Madsen
April 24, 2012
Data Mining

2. Problem:
Pig Sickness -
Handle early &
Treat effectively.

3. Objective
Decrease looses
due to illness
and regulation

4. Technique
Analyze
sounds with
respect to:
Shape,
Duration,
Intensity, &
Frequency
components
etc.

5. Time signal of a
pig and its power
spectrum density:
Amplitude
&
Frequency

6. Sound
Classify
Sound

7. Actual sound Predicted
coughs
Predicted
metal clang
Predicted
grunt
Predicted
background
noise
Actual coughs 106 4 2 3
Actual metal
clanging
0 15 2 6
Actual
grunting
0 1 21 1
Actual
background
noise
0 1 3 19
Confusion Matrix
4-class hybrid classifier
(9 false negatives)

8. Solution: 91.9% classification
accuracy

9. Reference
Chedad, A.; Moshou, D.; Aerts, J.M.; Van Hirtum, A.; Ramon, H.; Berckmans,
D. (2001). "Recognition System for Pig Cough based on
Probabilistic Neural Networks". Journal of Agricultural Engineering
Research 79(4): 449–457.