[Dataset] nottingham/cattle (v. 2007-12-20)

top

the initial version

@MISC{nottingham-cattle-2007-12-20,
  author = {Bartosz Wietrzyk and Milena Radenkovic},
  title = {{CRAWDAD} data set nottingham/cattle (v. 2007-12-20)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/nottingham/cattle},
  month = dec,  
  year = 2007
}
					

We performed the field experiments of cattle movement and behavior monitoring 
at the University of Nottingham's Dairy Centre to collect realistic parameters 
necessary to develop and evaluate an adequate wireless protocol.

The application of Mobile Ad Hoc Networks to cattle monitoring has 
the potential to increase the profitability of cattle production and 
positively impact the everyday live of farm personnel. To realize 
these possibilities, design of wireless protocols needs to be driven 
by real experiences. The main research challenges are identifying and 
refining realistic requirements for a MANET routing protocol and 
designing such protocol. In order to address this, we performed 
the field experiments at the University of Nottingham's Dairy Centre.  

The purpose of these field experiments was collection of realistic 
parameters necessary to develop and evaluate an adequate wireless 
protocol. They included cattle movement and behavior monitoring 
as well as distributing a questionnaire to the farm personnel and 
researchers working on the farm.

We installed on each monitored cow a collar comprising a neck strap 
and an aluminum instrument enclosure containing a Bluetooth GPS and 
a Bluetooth enabled mobile phone.

Mobile phones were logging data from the GPS receivers including positions 
and timestamps. All the cows in the dairy were wearing pedometers. Their 
measurements were automatically collected by milking robots whenever a cow 
was milked.

[Traceset] nottingham/cattle/mobility (v. 2007-12-20)

top

the initial version.

@MISC{nottingham-cattle-mobility-2007-12-20,
  author = {Bartosz Wietrzyk and Milena Radenkovic},
  title = {{CRAWDAD} trace set nottingham/cattle/mobility (v. 2007-12-20)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/nottingham/cattle/mobility},
  month = dec,  
  year = 2007
}
					

We monitored some cows located at the University of Nottingham's Dairy Centre 
to collect the traces of cattle movement and behavior.

In the first field experiment we monitored two of the cows located in one of 
the divisions of a modern dairy intended for about 100 animals. Cows can move 
freely in the area with the feeder, water tank, resting bays and milking robots 
available 24 hours a day. 

We installed on the monitored cows two collars comprising a neck strap 
and an aluminum instrument enclosure containing a Bluetooth GPS and 
a Bluetooth enabled mobile phone. 

Mobile phones were logging data from the GPS receivers including positions 
and timestamps. All the cows in the dairy were wearing pedometers. Their 
measurements were automatically collected by milking robots whenever a cow 
was milked. The data collection started at 11:10. Both GPS receivers 
worked until around 14:05. 

Some of the collected measurements suggested that cows moved with speeds 
impossible for them, which suggested GPS errors. Concurrently we were 
filming the part of the dairy where the monitored cows were kept. We placed 
the camera on the ramp above this area. This location offered the most 
complete view but some parts of the area were obscured. GPS receivers and
filming were utilized only for the purpose of our field experiments. 
Their utilization is not intended for the target monitoring system.

We repeated the previous experiment with five collars mounted on animals 
and two cameras located at two different ramps to get a more complete view 
of the area where the monitored cows were kept. We had GPS receivers 
with better batteries than before and we were logging data about the precision 
of logged locations. Monitoring started at 11:10. GPS receivers worked 
until 18:24, 12:23 (probably jammed), 18:51, 15:09, 15:33. We received 
the plan of the dairy and then captured the coordinates of the characteristic 
locations on the plan using a handheld GPS receiver.

Some of the collected measurements suggested that cows moved with speeds 
impossible for them, which suggested GPS errors.

[Trace] nottingham/cattle/mobility/2006.07.04 (v. 2007-12-20)

top

the initial version

@MISC{nottingham-cattle-mobility-2006.07.04-2007-12-20,
  author = {Bartosz Wietrzyk and Milena Radenkovic},
  title = {{CRAWDAD} trace nottingham/cattle/mobility/2006.07.04 (v. 2007-12-20)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/nottingham/cattle/mobility/2006.07.04},
  month = dec,  
  year = 2007
}
					

Trace of cattle movement and behavior monitoring collected at the University
of Nottingham's Dairy Centre on 2007-07-04.

In the first field experiment we monitored two of the cows located in one of 
the divisions of a modern dairy intended for about 100 animals. Cows can move 
freely in the area with the feeder, water tank, resting bays and milking robots 
available 24 hours a day. 

We installed on the monitored cows two collars comprising a neck strap 
and an aluminum instrument enclosure containing a Bluetooth GPS and 
a Bluetooth enabled mobile phone. 

Mobile phones were logging data from the GPS receivers including positions 
and timestamps. All the cows in the dairy were wearing pedometers. Their 
measurements were automatically collected by milking robots whenever a cow 
was milked. The data collection started at 11:10. Both GPS receivers 
worked until around 14:05.

Directory name - 2006.07.04

GPS traces (???.txt):
GPS data from Bluetooth GPSes mounted on the wet cows kept in a dairy. We  

file name - id of the cow
PyStumbler 1.0 format, meaning of the important fields:
 DATE   - date of the measurement
 LAT    - latitude
 LON    - longitude
 TIMEOFFIX - time in GMT (equivalent to British winter time)
 STATUS - Validity: A-ok, V-invalid
 SOG    - speed over gorund
 COG    - course of the ground
 MODE   - Mode: 1=Fix not available; 2=2D; 3=3D
 NUMSAT - number of sattelites used for the fix (the more the better)
 PDOP   - Position Dilution of Precision (PDOP)
 HDOP   - Horizontal Dilution of Precision (HDOP)
 VDOP   - Vertical Dilution of Precision (VDOP)


DOP (dilution of precision) is an indication of the effect of satellite geometry on the accuracy of the fix. It is a unitless number where smaller is better. For 3D fixes using 4 satellites a 1.0 would be considered to be a perfect number, however for over determined solutions it is possible to see numbers below 1.0.


Pedometer data (pedometers.txt):
Data from the pedometers mounted on the legs of the wet cows kept in the dairy.
Each line represents pedometer reading taken during milking preformed by a robot.

1) ID of the cow
2) Birth day of the cow
3) timestamp in BST (British Summer Time)
4) Pedometer reading

[Trace] nottingham/cattle/mobility/2006.07.13 (v. 2007-12-20)

top

the initial version

@MISC{nottingham-cattle-mobility-2006.07.13-2007-12-20,
  author = {Bartosz Wietrzyk and Milena Radenkovic},
  title = {{CRAWDAD} trace nottingham/cattle/mobility/2006.07.13 (v. 2007-12-20)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/nottingham/cattle/mobility/2006.07.13},
  month = dec,  
  year = 2007
}
					

Trace of cattle movement and behavior monitoring collected at the University
of Nottingham's Dairy Centre on 2007-07-13.

In the second field experiment we monitored five of the cows located in one of 
the divisions of a modern dairy intended for about 100 animals. We also located
two cameras at two different ramps to get a more complete view of the area 
where the monitored cows were kept. Cows can move freely in the area with 
the feeder, water tank, resting bays and milking robots available 24 hours a day. 

We installed on the monitored cows five collars comprising a neck strap 
and an aluminum instrument enclosure containing a Bluetooth GPS and 
a Bluetooth enabled mobile phone. 

Mobile phones were logging data from the GPS receivers including positions 
and timestamps. All the cows in the dairy were wearing pedometers. Their 
measurements were automatically collected by milking robots whenever a cow 
was milked. 

We had GPS receivers with better batteries than before and we were logging data 
about the precision of logged locations. Monitoring started at 11:10. 
GPS receivers worked until 18:24, 12:23 (probably jammed), 18:51, 15:09, 15:33. 
We received the plan of the dairy and then captured the coordinates of the 
characteristic locations on the plan using a handheld GPS receiver.

Directory name - 2006.07.13 

GPS traces (???.txt):
GPS data from Bluetooth GPSes mounted on the wet cows kept in a dairy.

file name - id of the cow
PyStumbler 1.0 format, meaning of the important fields:
 DATE   - date of the measurement
 LAT    - latitude
 LON    - longitude
 TIMEOFFIX - time in GMT (equivalent to British winter time)
 STATUS - Validity: A-ok, V-invalid
 SOG    - speed over gorund
 COG    - course of the ground
 MODE   - Mode: 1=Fix not available; 2=2D; 3=3D
 NUMSAT - number of sattelites used for the fix (the more the better)
 PDOP   - Position Dilution of Precision (PDOP)
 HDOP   - Horizontal Dilution of Precision (HDOP)
 VDOP   - Vertical Dilution of Precision (VDOP)


DOP (dilution of precision) is an indication of the effect of satellite geometry on the accuracy of the fix. It is a unitless number where smaller is better. For 3D fixes using 4 satellites a 1.0 would be considered to be a perfect number, however for over determined solutions it is possible to see numbers below 1.0.


Pedometer data (pedometers.txt):
Data from the pedometers mounted on the legs of the wet cows kept in the dairy.
Each line represents pedometer reading taken during milking preformed by a robot.

1) ID of the cow
2) Birth day of the cow
3) timestamp in BST (British Summer Time)
4) Pedometer reading

[Author] Bartosz Wietrzyk

top

[Author] Milena Radenkovic

top

[Paper] wietrzyk-manets

top

[Paper] wietrzyk-manets_cattle

top