A dataset containing feeding visit records for cattle over a two-day period (2020-10-31 to 2020-11-01). This dataset is the result of applying quality control procedures and KNN-based outlier removal to the raw all_fed data.
Format
A list of 2 data frames, one for each date (2020-10-31, 2020-11-01), with each data frame containing the following 10 variables:
- transponder
integer, unique electronic ID for each bin
- cow
integer, animal ID number
- bin
integer, feeding bin location number
- start
POSIXct, timestamp when feeding event started
- end
POSIXct, timestamp when feeding event ended
- duration
integer, duration of feeding event in seconds
- start_weight
numeric, weight of feed (kg) at start of feeding event
- end_weight
numeric, weight of feed (kg) at end of feeding event
- intake
numeric, amount of feed consumed (kg) during the event (calculated as start_weight - end_weight)
- date
Date, calendar date of the feeding event
- rate
numeric, how fast the cow was eating (kg/s)
Details
This dataset is the result of applying quality control checks using the
qc() function to the raw all_fed data. The cleaning process includes removing
invalid records, fixing double detections, and ensuring all intake and duration
values are plausible. Details are as follows:
Examples
# Access quality-checked data for the first day
first_day <- clean_feed[["2020-10-31"]]
# Count feeding events by cow on November 1 after quality control
table(clean_feed[["2020-11-01"]]$cow)
#>
#> 2074 3150 4001 4044 4070 4072 4080 5028 5041 5042 5058 5061 5067 5100 5114 5120
#> 48 62 41 61 46 53 78 64 93 124 61 71 80 91 54 77
#> 5123 5124 5135 5137 5139 5145 6005 6020 6027 6028 6030 6033 6042 6050 6055 6069
#> 84 88 52 78 70 78 77 76 104 61 84 78 46 71 121 86
#> 6084 6090 6121 6126 6129 7010 7018 7019 7022 7023 7024 7027 7030 7033 7043
#> 66 77 68 65 39 56 88 88 104 73 71 141 134 82 56