Illustration of Assessing Swine Thermal Comfort by Image Analysis of Postural Behavior

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Illustration of Assessing Swine Thermal Comfort
by Image Analysis of Postural Behavior
Cold
OK
Hosting PC
Hot
Raw Image
Segmented Image
Feature Extraction
Comfort State
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Study I Feasibility Study of Assessing Swine
Thermal Comfort via Image Analysis of Postural
Behavior

• Classification of pig thermal comfort state by
  image analysis of postural behavior is feasible.
• Combination of perimeter, area and moments as
  image features to a neural network gave the
  highest classification rate.

Publications 1. Neural network analysis of
postural behavior of young swine to determine
their thermal comfort state. Transactions of the
ASAE 40(3) 755-760. 2. Comparison of image
feature extraction for classification of swine
thermal comfort behavior. Computer and
Electronics in Agriculture 19 223-232.
Funded by ISU Special Research Initiation
Program and the Iowa Experiment Station
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Study II Development of Algorithms for
Automatic Motion Detection and Image
Segmentation
moved
still
Development system components
Publications 1. Assessing swine thermal comfort
by image analysis of postural behaviors. J. Anim.
Sci. 77, Suppl. 2 1-9. 2. Image-processing
algorithms for swine postural behavior analysis.
Behavior Research Methods, Instruments
Computers (In press).
Example of motion detection (using two models)
Funded by Iowa Pork Producers Association
Center for Advanced Technology Development
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Study III Behavioral Indexes Measuring Pig
Thermal Comfort
Index and surface temperature (Ts) ranges of
nursery pigs (7-15 kg) in thermoneutral zone (TN)
Ta 20oC, V 0.1m/s
Ta 20oC, V 1.0 m/s
Af is floor area occupied by pigs A is surface
area of the pigs
Ta 32oC, V 1.0 m/s
Ta 32oC, V 0.1 m/s
Example thermographs of nursery pigs subjected to
different air temperatures velocities
Publication Measurement of surface temperature
and postural responses of group-housed pigs to
thermal conditions by thermography. Transactions
of the ASAE (In review)
Funded by National Pork Producers Council