Authors - Danilo Cuichan, Mishell Moromenacho, Freddy Tapia Abstract - According to the Food and Agriculture Organization of the United Nations (FAO), the poultry sector continues to grow and position itself in different parts of the world; this has increased the demand for technological solutions that help increase the productivity of the sector, especially in the specialized poultry farming focused on quail production due to the benefits it offers. In this sense, artificial incubation is a complex task, since the manual selection of fertile eggs is susceptible to errors. Currently, traditional incubation methods depend on the experience of the operator. This is associated with human error, which threatens the profitability and sustainability of the sector. Therefore, the incorporation of new technologies is key in optimizing and automating processes. The present study aims to optimize the pre-incubation selection of quail eggs, which will include the collection and analysis of data related to egg viability (color, pigmentation and physical characteristics), all with the aim of classifying eggs that are optimal for incubation, reducing the loss of time and resources in eggs not suitable for incubation. In addition, comparative tests were performed to quantify the performance of the prototype and the efficiency of the system.
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