Identification of chicken egg fertility using SVM classifier based on first-order statistical feature extraction. (arXiv:2201.04063v1 [cs.CV])

This study aims to identify chicken eggs fertility using the support vector
machine (SVM) classifier method. The classification basis used the first-order
statistical (FOS) parameters as feature extraction in the identification
process. This research was developed based on the process's identification
process, which is still manual (conventional). Although currently there are
many technologies in the identification process, they still need development.
Thus, this research is one of the developments in the field of image processing
technology. The sample data uses …

arxiv cv identification statistical svm