Data Mining Techniques: New Method to Identify the Effects of Aquaculture Binder with Sardine on Diets of Juvenile Litopenaeus vannamei

Abstract

In this research, a dataset of growth performances and nutritional composition of juvenile Litopenaeus vannamei after being fed two diets that include aquaculture binder with sardine for 7 weeks was analyzed using data mining techniques: the K-Means Clustering Algorithm and PCA Biplot, to have a visualization of each parameter (vector) measured. The parameters evaluated were: weight gain, specific growth rate, feed efficiency, protein efficiency ratio, survival percent, moisture content, crude protein, crude lipid, and ash content. Data mining tools showed the juvenile Litopenaeus vannamei fed with mixture 2 (pellets mixed with the binder of sardine subproducts) presented the highest growth performances and nutritional composition, 23 juvenile L. vannamei shrimps showed higher relation with crude protein and crude lipid, 30 L. vannamei shrimps presented higher relation with ash, and 37 juvenile L. vannamei shrimps showed higher relation with ash and moisture. The results obtained in experimental procedures indicate that the use of a binder of sardine subproducts in shrimp diets improves the commercial parameters, improving the aquaculture field.