Weight Analysis and Prediction of Yak

Abstract

This paper aims to predict the weight of yak by analyzing the relationship between body weight and body size characteristics of yak in Three-Rivers Source area of Qinghai Province, and to guide the growth, development and breeding of yak in this area. In this paper, we selected 303 healthy yaks in Yushu Prefecture of Qinghai Province, the weight and body size (body height, body length, chest circumference, tube circumference) data of yak at different age groups were measured by facilities of weighbridge, measuring stick and tape measure. The data set is divided into training set and test set by random function, cluster the data use k-means clustering algorithm to observe the data distribution. At the same time, Pearson correlation analysis is used to calculate the correlation between body weight and body size, and the training set is analyzed by multiple linear regression and support vector machine prediction. The results show that the average relative error between the predicted value and the true value of the support vector machine is 5.72%, and the average relative error of the multiple linear regression and the true value is 6.52%, which means the support vector machine prediction algorithm can predict the weight of the yak better.