Egg sorting is an important activity carried out by poultry farmers to separate eggs based on their quality, especially in the process of hatching eggs and selling eggs to traders. The manual method used, namely candling, has limitations and causes many errors. Sorting also requires a lot of labor in the process of egg incubation and sale. Therefore, innovation is needed that can detect egg quality automatically to assist farmers in sorting eggs. In order to overcome and reduce the potential for errors in detecting poultry egg fertility, an image processing-based detection tool has been designed and built. This tool uses a Raspberry Pi as its processing system and is equipped with a Pi camera that functions as an image taker for eggs. The results of image processing will be sorted by a servo motor actuator so that the eggs can be grouped based on their quality, namely fertile and infertile, automatically. In this process, using the Python programming language for image processing This detection system can also display the condition of eggs via the web. With this tool, it is hoped that it will facilitate poultry farmers processes of sorting eggs more quickly and accurately.
Keywords: Fertility Detection, Raspberry Pi, Python, Web