Authors : Hadi Yahia Albrkaty

Volume/Issue : Volume 9 - 2024, Issue 9 - September

Google Scholar : https://tinyurl.com/ytpy4t2m

Scribd : https://tinyurl.com/2jdv3bkm

DOI : https://doi.org/10.38124/ijisrt/IJISRT24SEP371

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : The health of sheep’s teeth affects the abundance of meat and their good health through their healthy teeth, as it may cause their teeth to erode or break due to the presence of lean sheep. Also, by looking at the teeth of sheep, we can categorize them according to their ages to deal with each type as needed. Knowing the sheep age from their teeth is a pure sheep owners and shepherds’ skill. The spread of cell phones presents an opportunity for any people to benefit from many applications that make strange and difficult domains familiar to the public. Designing and implementing a sheep ages recognition system would significantly affect the speed and quality work of many buyers, sellers and interested people. The proposed project aims at addressing the Sheep ages recognition problem. A number of efficient deep learning architectures will be used, in order to select the best one that ensure the trade-off between optimizing the classification performance and model size. Moreover, a real dataset will be collected for 3 different sheep ages and an appropriate performance metrics will be used to evaluate the different proposed models. Besides, pre-processing and data augmentation techniques will be investigated to overcome the collected data.

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