Use of Electrical Coductivity Sensors to monitor Health Status and Quality of Milk in Dairy Goats

  • Mauro Zaninelli Università Telematica San Raffaele Roma
  • Luciana Rossi Università degli Studi di Milano
  • Annamaria Costa
  • Francesco Maria Tangorra Università degli Studi di Milano
  • Alesandro Agazzi Università degli Studi di Milano
  • Giovanni Savoini Università degli Studi di Milano
Keywords: Electrical conductivity, Fuzzy logic, dairy goat


Intramammary infection (IMI) can adversely affect, in dairy goats, milk quality and milk yield leading to high economical losses. Although somatic cell count (SCC) and microbiological tests could be valid approaches to detect IMI, other methods of IMI early detection may be useful to detect infected animals and to improve milk quality.

The aim of this study was to test a new multivariate model developed with the fuzzy logic technology and based on the milk EC - acquired on-line for each gland by dedicated sensors - and on new qualitative and quantitative indexes derived from the spectrum of the recorded signals.

Results obtained showed that the fuzzy logic model tested could achive better results than those already reached in dairy goat research. Nevertheless, further experiment and more field data could be useful to reach the best possible accuracy that this multivariate approach could show.

Author Biography

Mauro Zaninelli, Università Telematica San Raffaele Roma


@ Faculty of Agriculture


De Mol R. M. & Ouweltjes W. (2001). Detection model for mastitis in cows milked in an automatic milking system. PREVENTIVE VETERINARY MEDICINE, 49(1-2), 71–82.

Diaz J. R., Romero G., Muelas R., Sendra E., Pantoja J. C.F., Paredes C. (2011). Analysis of the influence of variation factors on electrical conductivity of milk in Murciano-Granadina goats. J. DAIRY SCI., 94, 3885–3894.

Romero G., Pantoja J.C.F., Sendra E., Peris C., Díaz J.R. (2012). Analysis of the electrical conductivity in milking fractions as a mean for detecting and characterizing mastitis in goats. SMALL RUMIN. RES., 107, 157–163.

Tangorra F.M., Zaninelli M., Costa A., Agazzi A., Savoini G. (2010). Milk electrical conductivity and mastitis status in dairy goats: Results from a pilot study. SMALL RUMIN. RES., 90, 109-113.

Zaninelli M., Rossi L., Tangorra F.M., Costa A., Agazzi A., Savoini G. (2014). On-line monitoring of milk electrical conductivity by fuzzy logic technology to characterise health status in dairy goats. ITAL. J. ANIM. SCI., 13, 340–347.

Zaninelli M., Rossi L., Costa A., Tangorra F.M., Agazzi A., Savoini G. (2015a) Monitoraggio dello stato di salute delle capre attraverso l’analisi on-line della conducibilità elettrica del latte. LARGE ANIM. REV., 21, 81–86.

Zaninelli M., Agazzi A., Costa A., Tangorra F.M., Rossi L., Savoini G. (2015b). Evaluation of the fourier frequency spectrum peaks of milk electrical conductivity signals as indexes to monitor the dairy goats’ health status by on-line sensors. SENSORS, vol. 15, 20698-20716

Zaninelli M., Rossi L., Costa A., Tangorra F.M., Agazzi A., Savoini G. (2015c). Signal Spectral Analysis To Characterize Gland Milk Electrical Conductivity In Dairy Goats. ITALIAN JOURNAL OF ANIMAL SCIENCE, vol. 14, 362-367