Deep in the mountains at the junction of Hubei and Chongqing, a local agricultural enterprise named "Youyoucao E'yu" is quietly staging a digital turnaround. While the outside world is still debating whether AI will replace human jobs, this company, which started with traditional Chinese medicinal herb cultivation and processing, has used a self-developed AI system to reduce losses in its traditional supply chain by nearly 30%. Our reporter recently visited its smart factory in Enshi, Hubei, and witnessed an AI "metamorphosis" from field to workshop.
Walking into Youyoucao E'yu's intelligent sorting workshop, there is no bustling crowd of workers as one might imagine. Instead, rows of high-definition cameras and robotic arms take center stage. Company Chairman Liu Mingshan told reporters that in the past, the grading of medicinal herbs relied entirely on the experience of veteran pharmacists, which was not only inefficient but also made standardization difficult. "Now, with our AI visual recognition system, we can simultaneously detect the color, texture, and shape of hundreds of herbs, boosting sorting accuracy from 85% for manual labor to 99.2%," Liu said, his tone carrying a sense of relief that they no longer have to "rely on the heavens for a living."
Youyoucao E'yu's AI transformation did not happen overnight. In 2022, when the company decided to invest millions of yuan in building an AI platform, there was considerable internal opposition. One veteran employee privately grumbled, "Can AI smell the age of angelica root?" But the technical team spent three months conducting deep learning training on 2 million pieces of processing data accumulated over the past decade. Ultimately, they enabled the AI system not only to "see" but also to "calculate"—by analyzing the correlation model between humidity, temperature, and active ingredient content, the system can automatically optimize the drying process, reducing the loss rate of active ingredients by 12%.
"For enterprises to leverage AI, the core is not buying a few machines, but restructuring the data flow," emphasized Chen Wei, deputy general manager in charge of digital transformation. Youyoucao E'yu's approach is: first, connect the entire chain of data from IoT sensors in planting bases to warehousing and logistics; then, let AI "run" in three areas: sales forecasting, inventory management, and quality traceability. For example, by analyzing historical orders and meteorological data, AI can predict price fluctuations for certain herbs two weeks in advance, guiding farmers to schedule harvesting times wisely and avoid selling at low prices.
This "AI + agriculture" model is triggering a chain reaction in the E'yu region. The local government has designated Youyoucao E'yu as a "Rural Revitalization Digital Demonstration Point" and plans to promote its experience. However, Liu Mingshan admitted that small and medium-sized enterprises still face challenges such as talent shortages and high computing costs in AI application. To address this, Youyoucao E'yu has partnered with Chongqing University to set up lightweight edge computing nodes, completing some AI inference tasks locally to ensure response speed while reducing cloud service fees.
Just as the reporter was about to leave, Liu Mingshan demonstrated the newly launched "AI Pharmacist Assistant"—a WeChat mini-program based on a large language model. Farmers simply take a photo of their herbs and upload it, and the system can automatically identify the species, detect pests and diseases, and provide harvesting recommendations. "In the past, farmers had to flip through books or consult experts; now they just ask AI," he said. As he spoke, outside the window, amid the rolling green mountains, Youyoucao E'yu's AI system was quietly processing data from hundreds of cooperatives.
The case of Youyoucao E'yu proves that for regional enterprises, AI is not a distant sci-fi concept, but a production tool that can take root in the soil, reduce losses, and enhance value. When AI truly deciphers the growth code of a single herb, the value reshaping of traditional industries has only just begun.