A probabilistic neural network model for lameness detection.

A 4-balance system for measuring the leg-load distribution of dairy cows during milking to detect lameness was developed. Leg weights of 73 cows were successfully recorded during almost 10,000 robotic milkings over a period of 5 mo. Cows were scored weekly for locomotion, and lame cows were inspected clinically for hoof lesions. Unsuccessful measurements, caused by cows standing outside the balances, were removed from the data with a special algorithm, and the mean leg loads and number of kicks during milking were calculated. To develop an expert system to automatically detect lameness cases, a model was needed, and a classifying probabilistic neural network model was chosen for the task. The data were divided into 2 parts and 5,074 measurements from 37 cows were used to train a classifying probabilistic neural network model. The operation of the model was evaluated for its ability to detect lameness in the validating data set, which had 4,868 measurements from 36 cows. The model was able to classify 96.2% of the measurements correctly as sound or lame cows, and 100% of the lameness cases in the validation data were identified. The number of measurements (equal to the number of milkings) causing false alarms was 1.1%. The model developed has the potential to be used as an on-farm decision aid and can be used in a real-time lameness monitoring system.

[1]  D. Weary,et al.  Hoof discomfort changes how dairy cattle distribute their body weight. , 2006, Journal of dairy science.

[2]  Noel D.G. White,et al.  AE—Automation and Emerging Technologies: Specialist Neural Networks for Cereal Grain Classification , 2002 .

[3]  W A Weijs,et al.  The effect of preventive trimming on weight bearing and force balance on the claws of dairy cattle. , 2004, Journal of dairy science.

[4]  Y T Gröhn,et al.  The effect of lameness on milk production in dairy cows. , 2001, Journal of dairy science.

[5]  Ray A. Bucklin,et al.  EFFECTS OF TRIMMING ON DAIRY CATTLE HOOF WEIGHT BEARING AND PRESSURE DISTRIBUTIONS DURING THE STANCE PHASE , 2005 .

[6]  L. Green,et al.  Assessment of the welfare of dairy caftle using animal-based measurements: direct observations and investigation of farm records , 2003, Veterinary Record.

[7]  P. H. Robinson,et al.  Impact of lameness on behavior and productivity of lactating Holstein cows , 2003 .

[8]  Guowang Xu,et al.  Application of probabilistic neural network in the clinical diagnosis of cancers based on clinical chemistry data , 2002 .

[9]  Donald F. Specht,et al.  Probabilistic neural networks , 1990, Neural Networks.

[10]  C. Bergsten,et al.  A Photometric Method for Recording Hoof Diseases in Cattle, with Special Reference to Haemorrhages of the Sole , 1993, Acta Veterinaria Scandinavica.

[11]  Jean-Marie Aerts,et al.  AP—Animal Production Technology: Recognition System for Pig Cough based on Probabilistic Neural Networks , 2001 .

[12]  Martin T. Hagan,et al.  Neural network design , 1995 .

[13]  C. Winckler,et al.  The Reliability and Repeatability of a Lameness Scoring System for Use as an Indicator of Welfare in Dairy Cattle , 2001 .

[14]  Derek R. Magee,et al.  Detecting lameness using 'Re-sampling Condensation' and 'multi-stream cyclic hidden Markov models' , 2002, Image Vis. Comput..

[15]  D. Weary,et al.  Hoof pathologies influence kinematic measures of dairy cow gait. , 2005, Journal of dairy science.

[16]  Trygve Eftestøl,et al.  A probabilistic neural network as the predictive classifier of out-of-hospital defibrillation outcomes. , 2005, Resuscitation.

[17]  M. Kujala,et al.  Assessing cows' welfare : weighing the cow in a milking robot , 2006 .

[18]  U. Tasch,et al.  The development of a SoftSeparator for a lameness diagnostic system , 2004 .

[19]  L. Green,et al.  The impact of clinical lameness on the milk yield of dairy cows. , 2002, Journal of dairy science.

[20]  Matti Pastell,et al.  Automatic observation of cow leg health using load sensors , 2008 .

[21]  D. Weary,et al.  Effect of hoof pathologies on subjective assessments of dairy cow gait. , 2006, Journal of dairy science.

[22]  D. Sprecher,et al.  A lameness scoring system that uses posture and gait to predict dairy cattle reproductive performance. , 1997, Theriogenology.

[23]  R. Huirne,et al.  Economic losses due to clinical lameness in dairy cattle , 1997 .

[24]  R. M. Dyer,et al.  A System for Identifying Lameness in Dairy Cattle , 2002 .

[25]  A. Lefcourt,et al.  Comparison of models to identify lame cows based on gait and lesion scores, and limb movement variables. , 2006, Journal of dairy science.