Over the past two days, a 'red lobster' has been trending across the internet! From the National People's Congress to tech communities, this AI-powered' OpenClaw' has gone viral, sparking heated discussions among delegates and committee members. Many in the livestock industry might be wondering: What exactly is this? How does it relate to pig or chicken farming?
Today, let's dive into the origins of this' lobster' and explore what insights our livestock industry can gain from it.
What's the story behind the viral' AI shrimp farming 'trend at China's Two Sessions?
If you've been scrolling through Weibo or news lately, you've probably come across trending terms like 'AI shrimp farming' and 'government-sponsored crayfish.' But this 'crayfish' is no ordinary dish—it's an open-source AI agent called OpenClaw. Its red lobster-like icon earned it the playful nickname, and the training process has been humorously dubbed' raising crayfish.'
How popular is this lobster?
Delegates and committee members engaged in heated discussions: Gao Wendu, a deputy to the National People's Congress and academician of the Chinese Academy of Engineering, lamented,' Now everyone is so anxious, fearing they won't get to raise' lobsters. 'Even Pony Ma didn't expect this!'
Officially Appointed as 'Civil Servants': In Futian District, Shenzhen, a group of 'government service leeches' have officially commenced operations. They can instantly process massive volumes of public demands, automatically generate 'health check reports,' and assist the government in shifting from 'post-incident firefighting' to 'pre-incident prevention.'
The rise of new professions: With installation barriers, online services like 'door-to-door lobster installation' have emerged, priced between 300 to 800 yuan. Some netizens reported earning 260,000 yuan from this service within days.
Put simply, this 'AI lobster' is truly remarkable because it doesn't just offer verbal suggestions like ChatGPT—it actually gets to the job. With just one command, it can fully take over your computer to organize files, send and receive emails, and handle all tasks for you.
This 'AI shrimp farming' is not the same as that 'AI shrimp farming'
At this point, those in the livestock breeding industry might ask: What does this have to do with our field? Our primary concern is the actual shrimp farming practices in the ponds.
Hold on, it's a coincidence! Just as this' AI lobster 'went viral online, real' AI shrimp farming '(smart shrimp farming) has already been thriving in the fields. Although the' lobster 'discussed at the Two Sessions is software, the underlying logic—' AI doing the work for humans'—is precisely the core of our agricultural modernization.
The true "AI shrimp farming" has revolutionized traditional aquaculture
A look at the aquaculture bases in Quanjiao (Anhui), Changshu (Jiangsu), and Dongxing (Guangxi) reveals another remarkable phenomenon of AI-powered shrimp farming:
1. Water Quality Monitoring: From "Experience-Based" to "Data-Driven"
In the vast rice-shrimp fields spanning thousands of acres in Quanjiao, Anhui, a research team from Anhui Agricultural University has developed an intelligent rice-shrimp farming system. Previously, pond inspections relied entirely on manual labor, and water quality assessment depended on experience, with the constant fear of crayfish attaching to the embankments at night. Now, sensors collect critical data such as dissolved oxygen and pH levels every 5-10 minutes. When dissolved oxygen drops below 4 mg/L, the oxygenation system activates automatically and stops once the target is reached, eliminating the need for manual intervention.
2. Precision Feeding: From "Scattering" to "Fixed-Point Feeding"
The intelligent positioning feeder boat developed by Nanjing Agricultural University can remotely set feeding points and autonomously patrol. More impressively, by integrating underwater sonar and optical recognition, the system calculates the number and size of shrimp in the pond with over 92% accuracy, enabling precise feed determination to avoid waste. In Dongxing, Guangxi, the system even achieved "shrimp face recognition," where the camera can track any individual shrimp in real time and trigger smart feeding.
3. Cost reduction and efficiency improvement: From "manual labor" to "technical work"
The results are tangible: After implementing AI technology, the crayfish yield per mu in Quanjiao County increased from 150 kg to 165 kg, with a 25% reduction in labor costs. In Zhangye, Gansu, sea shrimp have been successfully farmed on saline-alkali land in the northwest, maintaining a survival rate of over 90%.
