New management grading for pig farms: management grading system using pig carcass weight, back fat thickness and k-means algorithm.

ABSTRACT:

Objective

This study categorized farm management levels to improve the productivity and uniformity of pork from pigs shipped from farms.

Methods

A total of 48,298 pigs were grouped (A, B, C, D group) using the k-means algorithm, carcass weight and backfat thickness. The results of the grouping were used to classify Farm Management Grades (A, B, C, D grade).

Results

The proportion of primal cuts in pigs, according to the new classification method, increased from group A to group D for shoulder blade, shoulder picnic, and ham, but decreased for loin and belly. In the regression analysis of the five primal cuts (shoulder blade, shoulder picnic, loin, belly, and ham) production (kg) for each group, all regression equations showed low errors (MAE<0.7), indicating that the

SUBMITTER: Lim Y 

PROVIDER: S-EPMC11725751 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature