Is it relevant to our livestock industry? — Not only is it relevant, but it is a "revolution of the same kind." Of course it is! Moreover, it is of paramount importance. This is because the underlying logic of AI technology is entirely consistent across all sectors, whether it involves fish farming, shrimp farming, or pig and poultry breeding.
1. Intelligent Environmental Control
Just as aquaculture requires monitoring dissolved oxygen levels and pH values, our livestock farms need to monitor ammonia concentrations, temperature and humidity, as well as wind speed. The smart fisheries in Zhangye can achieve a water recycling rate of over 90%, and
similarly, our modern pig farms can utilize IoT sensors to coordinate fans and water curtains, providing the most comfortable environment for the swine population.
2. Refinement of Individual Identification
Since facial recognition for shrimp is already possible, the recognition of pig faces and poultry behavior is no longer novel. A research team from National Taiwan University of Science and Technology has achieved AI-based observation of avian dynamics: if chickens become agitated due to environmental discomfort, the system automatically dispenses feed, adjusts lighting, or plays sounds to stabilize the flock.
3. Front-loaded disease prevention and control
AI is not only capable of observation but also computation. By analyzing subtle changes in feed intake, activity levels, and vocalizations, AI can provide early warnings of disease risks before they are detected by veterinarians. Similar to how "government lobsters" can predict social risks, AI in animal husbandry can also anticipate disease risks, achieving the concept of "preventive treatment before disease onset."
What can be learned from animal husbandry?
The 'AI craze' that spread from the Two Sessions to the fields has given us, as livestock professionals, several profound insights:
Revelation 1: Embrace "Agent", Let Data Do the Running
The essence of AI Lobster is execution. The future of animal husbandry isn't about assigning secretaries to every employee, but equipping each pigpen and chicken coop with a 24/7 online "agent". This AI tirelessly monitors data and instantly activates alerts (like turning on fans or sounding alarms) when anomalies are detected (e.g., sudden temperature spikes). This system dramatically reduces manual labor, freeing farmers from tedious tasks to focus on strategic decision-making.
Revelation 2: Pay attention to the "cross-border technology" of dimensional reduction
The explosive popularity of OpenClaw demonstrates how AI technology is rapidly becoming more affordable and widely accessible. What we see today as 'intelligent agents' in government operations could be adapted tomorrow for use in farm ERP systems. Similarly, underwater vision recognition algorithms originally developed for aquaculture can be easily modified to assess the body condition of pregnant sows or estimate the weight of fattening pigs. These technological barriers are being swiftly dismantled.
Revelation 3: Emphasize "Data Assets" and Build Industry-wide Models
Whether it is the rice-shrimp fields in Quanjiao or the future smart pig farms, massive amounts of data (feed intake, water consumption, body temperature, activity trajectories) are generated daily. If these data are not utilized, they become worthless; if utilized, they become valuable training materials for industry-wide large-scale models. Whoever masters these data will possess more precise feeding models and more advanced disease prevention and control models in the future.
Conclusion: The explosive popularity of "AI lobster" at the Two Sessions is a strong signal: China is running into the "age of intelligent entities". For the livestock industry, this is both a challenge and an opportunity.
In the near future, when we meet, we might say 'Has your pig farm raised lobsters yet?' instead of 'What's the current hog price?'