An automatic system for the detection of dairy cows lying behaviour in free-stall barns

Abstract

In this paper, a method for the automatic detection of dairy cow lying behaviour in free-stall barns is proposed. A computer visionbased system (CVBS) composed of a video-recording system and a cow lying behaviour detector based on the Viola Jones algorithm was developed. The CVBS performance was tested in a head-to-head free stall barn. Two classifiers were implemented in the software component of the CVBS to obtain the cow lying behaviour detector. The CVBS was validated by comparing its detection results with those generated from visual recognition. This comparison allowed the following accuracy indices to be calculated: the branching factor (BF), the miss factor (MF), the sensitivity, and the quality percentage (QP). The MF value of approximately 0.09 showed that the CVBS missed one cow every 11 well detected cows. Conversely, the BF value of approximately 0.08 indicated that one false positive was detected every 13 well detected cows. The high value of approximately 0.92 obtained for the sensitivity index and that obtained for QP of about 0.85 revealed the ability of the proposed system to detect cows lying in the stalls.

Localisation and identification performances of a real-time location system based on ultra wide band technology for monitoring and tracking dairy cow behaviour in a semi-open free-stall barn

“…Plan views of the barn make it possible to distinguish each cow from the others and determine the real position of each cow within the barn. To achieve these objectives, the video-recording system, which was designed according to a previously defined methodology (Porto et al, 2013a), provided panoramic rectified top-view images of the barn to obtain real dimensions of cows, physical spaces, and equipment.…”

Smart Pig Farming—A Journey Ahead of Vietnam

“…Studies and commercial applications of sensors in the field of animal identification [27], temperature measurement [168], etc., are in place. Radiofrequency identification (RFID) has proven effective in identifying and tracking individual animals [169][170][171][172][173]. Camera systems equipped with sensors can also be used for identification and body temperature measurements [174][175][176][177].…”

Evolutionary Optimization Strategy for Indoor Position Estimation Using Smartphones

“…Infrastructure-based positioning systems (e.g., radio systems such as WLAN [10][11][12][13], radio-frequency identification-RFID [14][15][16], or Bluetooth [17,18]) needs additional hardware that has to be set up, calibrated, and maintained. Therefore, various techniques are applied, which can estimate the distance between transmitter and receiver via the signal propagation characteristics.…”