The application of genetic programming in milk yield prediction for dairy cows
Journal
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Journal Volume
2005
ISBN
3540430741
Date Issued
2001-01-01
Author(s)
Abstract
Milk yield forecasting can help dairy farmers to deal with the continuously changing condition all year round and to reduce the unnecessary overheads. Several variables (somatic cell count, pariety, day in milk, milk protein content, milk fat content, season) related to milk yield are collected as the parameters of the forecasting model. The use of an improved Genetic Programming (GP) technique with dynamic learning operators is proposed and achieved with acceptable prediction results.
Subjects
Dynamic mutation; Genetic programming; Milk yield prediction
Type
conference paper