Research Article
Mamdani Inference Technique for prediction of egg hatching parameters of different species of birds
@INPROCEEDINGS{10.4108/eai.20-6-2017.2270709, author={Wellington Makondo and Kudzanayi Chiteka and Gladman Jekese and Larry Chikukura and Weston Govere}, title={Mamdani Inference Technique for prediction of egg hatching parameters of different species of birds}, proceedings={EAI International Conference for Research, Innovation and Development for Africa}, publisher={EAI}, proceedings_a={ACRID}, year={2018}, month={4}, keywords={fuzzy logic temperature humidity incubator egg hatching}, doi={10.4108/eai.20-6-2017.2270709} }- Wellington Makondo
Kudzanayi Chiteka
Gladman Jekese
Larry Chikukura
Weston Govere
Year: 2018
Mamdani Inference Technique for prediction of egg hatching parameters of different species of birds
ACRID
EAI
DOI: 10.4108/eai.20-6-2017.2270709
Abstract
Identification of the size of hatching eggs is a vital factor in predicting the type of bird as well as temperature and humidity parameters to the success of the incubator. The egg hatching incubator works on the principle that all eggs are of same type of bird and the conditions would be conducive for every egg to hatch. An automatic egg hatching temperature and humidity control method was proposed based on Mamdani inference technique to hatch different species of birds. In order for the temperature and humidity to be predicted using fuzzy logic, some rules should be stemmed from experience of the experts. Such rules are stated through facts about normal body temperatures of different birds. The classification accuracy reached 100% for all types of birds being small, medium or large. Mamdani inference technique is feasible, robust and has generalization ability leading to accurate prediction of temperature, humidity and hatching period.
