1. AI creates value when it improves production decisions

Artificial intelligence is being applied to swine nutrition, health monitoring, environmental control and production management, but adoption alone does not demonstrate value. A model demonstrates commercial value when it improves the timing or quality of a feeding adjustment, alert, labour decision or health intervention. Missing data, sensor drift, changing herd conditions and gaps between software and farm workflows can prevent trial accuracy from translating into commercial performance. 

On October 22, 2026, the 15th Leman China Swine Conference will examine AI through specific production tasks. The program will include AI applications in precision sow nutrition, feeding practices within Yangxiang Group’s multi-storey intelligent production system, and AI for Science (AI4S) in precision swine nutrition. The Reproduction Management Forum will also address the practical application of farm data-analysis tools. Together, these sessions allow delegates to compare how AI changes decisions under different production conditions.

Register now: https://s.31url.cn/rl9CH4Q9

2. From disease-outbreak prediction to precision feeding

On October 24, 2026, a keynote will examine the use of machine learning and large-scale data sharing to predict future disease outbreaks. The Technology Innovation breakout will cover individual precision feeding in group housing and computer vision for meat inspection. These applications span farms and downstream operations, but they depend on the same conditions: reliable input data, outputs that users can interpret, and recommendations integrated into existing workflows. 

Face-to-face discussions are especially useful for examining questions that are often absent from vendor demonstrations: How frequently must the model be recalibrated? What happens when data flow are interrupted? How much extra work do false alerts create? Can the system integrate with existing equipment, staff roles and decision authority? By comparing Chinese commercial production cases with international research, delegates can evaluate both performance gains and implementation constraints at scale.

Delegates can extend the AI discussion beyond the farm at the 2026 World Pork Festival, held concurrently at the same venue from October 22 to 24. The festival brings pork quality, cold-chain logistics, processing, market channels and regional food culture into the same visit. For international participants, this provides a practical downstream context for the conference's computer-vision session and for evaluating how production data and automation may support quality control and value creation across the pork chain.

3. Evaluate AI through one measurable use case

Before travelling to Zhengzhou, choose one production decision with a measurable cost, such as adjusting sow feeding, identifying abnormal intake or detecting an early disease signal. Record the  required data, who makes the decision, the time from signal to action, and the cost of a false or delayed decision. Use the same case to assess each session. This comparison can reveal whether a technology reduces decision uncertainty, shortens response time or simply adds another data interface.  

The 15th Leman China Swine Conference will take place in Zhengzhou, China, on October 22-24, 2026. Join researchers and commercial production teams to examine which AI tools are ready for farm deployment, what evidence supports their value, and which implementation risks still need to be resolved.

Register now: https://s.31url.cn/rl9CH4Q9

View the detailed conference agenda：https://www.lemanchina.com/view_5743.html