Determining Pigs Breeding Time by Sow’s Vagina Image Analysis Using Wavelet Transforms and Artificial Neural Network

Dwiandiyanta, B. Yudi and Ernawati, Ernawati and Maslim, Martinus (2017) Determining Pigs Breeding Time by Sow’s Vagina Image Analysis Using Wavelet Transforms and Artificial Neural Network. In: International Conference on Computer Science and Artificial Intelligence CSAI 2017, 5-7 Desember 2017, Jakarta.

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Abstract

A rapid development of image processing technique has been currently taking place. Image analysis is becoming an application which attracts a lot of attention among the other applications. It extracts image features to identify an object.Image analysis has been widely used in several fields such as animal husbandry.The object used in this study is the image of sow vagina. Determining the pig breeding time is something necessary for the breeders since it will greatly affect the number of piglets. The complexity in determining the pig breeding period becomes a main problem in this research. This system has been successfully established. The system can recognize patterns well with a maximum recognition rate of 98.7013%. In general Haar wavelets, db2 and coif1 produce better recognition performance. Haar wavelets are wavelets that have fewer computational loads than others.

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