Using sensor data patterns from an automatic milking system to develop predictive variables for classifying clinical mastitis and abnormal milk

Computers and Electronics in Agriculture

Volumn 62, Issue 2, 2008, Pages 169-181

  Kamphuis, Claudia ^a   Pietersma, Diederik ^a   van der Tol, Rik ^b   Wiedemann, Martin ^c   Hogeveen, Henk ^a,d  

^a UTRECHT UNIVERSITY   (Netherlands)

^b Lely Industries NV   (Netherlands)

^c Landtechnischer Verein in Bayern eV   (Germany)

^d WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

Abnormal milk; Colour sensors; EC; Mastitis; Predictive features; Robotic milking

Indexed keywords

CORRELATION METHODS; ELECTRIC CONDUCTIVITY; MATHEMATICAL MODELS; MILKING MACHINES; SENSITIVITY ANALYSIS;

ABNORMAL MILK; COLOR SENSORS; MASTITIS; PREDICTIVE FEATURES; ROBOTIC MILKING;

SENSORS;

BACTERIAL DISEASE; CLASSIFICATION; DAIRY FARMING; DETECTION METHOD; FARMING SYSTEM; MEASUREMENT METHOD; MILK PRODUCTION; MODELING; PREDICTION; ROBOTICS; SENSOR;

CENTRAL EUROPE; EURASIA; EUROPE; GERMANY;

EID: 40849086139     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2007.12.009     Document Type: Article

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