Klasifikasi Jenis Telur Ayam Menggunakan IoT Dan Algoritma SVM
Abstract
Eggs is significant role in the Indonesian economy, serving as a staple ingredient that people frequently consume. There are several types of eggs in Indonesia, both local, purebred, and genetically produced eggs or a cross between 2 types of laying hens. To know these types, experts are needed who are experts in the field of animal husbandry, especially chickens, to know what type of egg it is. However, this method requires time, which is inefficient and tends to be collective. Therefore, the researchers created a classification system for types of chicken eggs using I0T and the SVM algorithm with an IoT device using ESP32-CAM as a remote image capture using a smartphone, where the results of the retrieval will be classified by the SVM algorithm. The results of this system can classify 3 types of eggs with an accuracy rate of 86%.
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