Classification Of Fertile And Infertile Eggs Using Thermal Camera Image And Histogram Analysis: Technology Application In Poultry Farming Industry

Abstract

Thermal imaging is a technology that utilizes heat radiation from objects, including duck eggs and has been widely used in the field of thermography. This study discusses a classification system of eggs using thermal camera images to differentiate between fertile and infertile eggs. The image processing methods used in this study are the histogram analysis and ROI method to identify the thermal characteristics of different eggs. The results of this study show that this method can distinguish between fertile and infertile eggs with high accuracy. This study can help farmers improve the efficiency of chicken reproduction and produce better-quality eggs. Therefore, this article has the potential to provide benefits for the livestock and food industries. In egg image processing, the ROI method increases analysis accuracy and classifies objects in the image. The histogram analysis method is used to provide accurate information. Testing with single and group egg images resulted in 93.7% accuracy in determining fertile and infertile eggs on the 9th day of incubation.