Title :
An optimized fuzzy inference system for oestrus detection in dairy cattle
Author :
Scholten, Hans ; Udink Ten Cate, A.J.
Abstract :
A fuzzy inference system has been developed as a tool for oestrus (heat) detection in dairy cattle. It uses signal, which are induced by hormone level changes during oestrus, resulting in physiological and behavioral effects like changes in activity, milk yield and milk temperature. A novelty in this approach is the use of a controlled random optimization method to tune the membership function shapes. Using routinely collected data, the system proves to detect cows in heat with acceptable results
Keywords :
biological techniques; biology computing; computerised instrumentation; dairying; fuzzy set theory; knowledge based systems; signal processing; behavioral effects; controlled random optimization method; cows; dairy cattle; hormone level changes; membership function shapes; milk temperature; milk yield; oestrus detection; optimized fuzzy inference system; physiological effects; Agricultural engineering; Cows; Dairy products; Decision making; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Humans; Optimization methods; Shape control;
Conference_Titel :
Neuro-Fuzzy Systems, 1996. AT'96., International Symposium on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3367-5
DOI :
10.1109/ISNFS.1996.603835
