In the heart of China, where the pig farming industry is a cornerstone of rural economies, a groundbreaking study led by Zhengxu Liu from the College of Animal Science and Technology at Guangxi University is set to revolutionize the way pig body dimensions are measured and valued. The research, published in the journal *Smart Agricultural Technology* (translated from Chinese as 智能农业技术), introduces an automated 2D imaging system that promises to streamline the process of assessing pig conformation, potentially boosting the profitability and sustainability of pig farms across the country.
Traditionally, measuring pig body dimensions has been a labor-intensive and stressful process for both farmers and animals. The subjective visual assessment of pig body conformation by traders has often led to inconsistent valuations, impacting the financial stability of pig farms. Liu’s study aims to address these challenges by developing an automated measurement system that not only reduces labor and stress but also provides objective data for traders.
The study involved pig traders from five regions of China—North, East, Mid-South, West-South, and West-North—who were invited to rate pig videos obtained through the 2D imaging system. The system’s accuracy was compared to similar 3D systems, showing significant improvements in predicting abdominal and chest circumferences. “The correlation coefficient for abdominal circumference (R2=0.85) and chest circumference (R2=0.84) by 2D imaging reflected strong agreements, improved by 0.13 (18.1%) and by 0.15 (21.7%) respectively,” Liu explained.
The study also revealed regional preferences among traders. While all regions consistently valued Body Length and Height, there were notable differences in the importance placed on Fur&Color and Belly. Traders from Mid-South prioritized Fur&Color, whereas those from the East paid more attention to Belly. This objective data provides a first-ever insight into the preferences of Chinese pig traders, offering a valuable basis for future assessments.
The implications of this research are far-reaching. The 2D imaging system not only promises to be more robust and cost-effective but also has the potential to standardize the valuation process, reducing discrepancies and enhancing market transparency. As Liu noted, “The belly_height by the 2D imaging showed the most significant positive impact on trader conformation scoring for most regions except West-South. Whereas the belly_y_size exerted the most significant negative effect on conformation scoring in most regions.”
This innovative approach to precision livestock farming could set a new standard for the industry, ensuring that pigs perceived as ‘higher’ with ‘smaller’ bellies are more likely to meet market preferences. As the agricultural sector continues to embrace technology, studies like Liu’s pave the way for more efficient, objective, and sustainable practices. The future of pig farming in China—and potentially beyond—looks set to be transformed by the power of machine vision and data-driven insights.