Comparison of Computer-based Methods to Detect Fertilized Eggs
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DOI: 10.23977/blsme.2022018
Author(s)
Zhenguang Zhong
Corresponding Author
Zhenguang Zhong
ABSTRACT
Eggs and their derivatives are important parts of human’s modern diet. The accurate detection of eggs’ fertility plays a significant role in egg hatching and production efficiency. However, the traditional artificial methods have the drawbacks of being time-consuming, unsanitary, and potentially causing infections such as avian flu in eggs and employees. Furthermore, the growth of an egg embryo is quick and therefore the interior makeup of a developing egg can alter dramatically. Methods with high detection accuracy and low cost at the expense of other flaws such as the long period required for incubation before discovery has become an urgent issue to be settled. With the development of computer science, the computer-based detection methods have attracted more and more academics’ and production companies’ attention for their precision and efficiency. Considering that computers are versatile in processing data, there are several fields of computer-based methods. In this paper, a comparison of different computer based methods to distinguish fertilized eggs from infertile ones was given. Specifically, the efficiency of different methods was examined and compared, including the accuracy, day of incubation, time spent on incubation as well as economic cost. This paper might provide valuable references to future research and real scenarios.
KEYWORDS
Fertilized Eggs, Early Detection, Computer based Method