Fuzzy systems bacteriology

Air pollution by chemical or bacteriological pollutants is not limited to a geographical area at the discrete border. Also, factors taken into account in the risk analysis such as patient age, seasons, socio-economic background or race are far from being necessary as discrete values. Often used analysis tools are limited to statistical analyzes. Given the nature of this data, imprecise and complex, in this study we propose an artificial intelligence tool, in particular the principles of fuzzy logic in data processing...

The aim of this study was to develop and test a new fuzzy logic model for monitoring the udder health status (HS) of goats. The model evaluated, as input variables, the milk electrical conductivity (EC) signal, acquired on-line for each gland by a dedicated sensor, the bandwidth length and the frequency and amplitude of the first main peak of the Fourier frequency spectrum of the recorded milk EC signal. Two foremilk gland samples were collected from eight Saanen goats for six months at morning milking (lactation stages (LS): 0-60 Days In Milking (DIM); 61-120 DIM; 121-180 DIM), for a total of 5592 samples...

This study explored the potential value of in-line composite somatic cell count (ISCC) sensing as a sole criterion or in combination with quarter-based electrical conductivity (EC) of milk, for automatic detection of clinical mastitis (CM) during automatic milking. Data generated from a New Zealand research herd of about 200 cows milked by 2 automatic milking systems during the 2006-2007 milking season included EC, ISCC, monthly laboratory-determined SCC, and observed cases of CM that were treated with antibiotics...