In the Wuling Mountains, straddling the border between Hubei and Chongqing, an agricultural tech company named "Youyoucao Eyu" is quietly transforming the way traditional Chinese medicinal herbs are grown and distributed. This enterprise, rooted in both regions, has recently drawn industry attention for its large-scale adoption of artificial intelligence. During an on-site visit, our reporter found that AI has become the core engine driving the company through industry cycles and market fluctuations—from seedling cultivation and field management to supply chain scheduling.
"In the past, we relied on experience to decide when to plant; now we rely on data," said Zhang Lixin, founder of Youyoucao Eyu, at the company's smart cultivation base in Enshi. Behind him, rows of sensors were collecting real-time data on soil moisture, light intensity, and weather conditions, generating daily farming instructions through an AI model. This system, named "Shennong Brain," was jointly developed by the company and the AI Lab of Chongqing University. It can reduce yield fluctuation of medicinal herbs by about 18% while cutting pesticide usage by nearly 30%.
Youyoucao Eyu's core business covers the cultivation and primary processing of authentic medicinal herbs such as Coptis chinensis and Gastrodia elata, with an annual output value exceeding 200 million RMB. However, over the past three years, extreme weather and labor shortages have repeatedly threatened the company's production. In the summer of 2024, Enshi in Hubei experienced an unusually severe drought, causing a production drop of over 40% in traditional farming areas. By contrast, Youyoucao Eyu adjusted its irrigation strategy and planting density three months in advance using its AI climate model, ultimately limiting losses to under 8%. This case quickly spread within the industry, becoming a benchmark example of using AI for "climate hedging."
Yet Youyoucao Eyu's AI deployment extends far beyond the fields. At a logistics center in Wanzhou, Chongqing, our reporter observed a scheduling system powered by reinforcement learning. This system integrates harvest schedules from upstream growers, order demands from downstream pharmaceutical companies, and real-time traffic data to automatically plan optimal transport routes and warehouse allocation. According to Chen Min, the company's operations director, since the system went live, the average turnaround time for herbs from field to factory has been reduced by 2.4 days, and the spoilage rate has dropped by 15%. "AI isn't replacing people—it helps us connect scattered decision points," Chen said.
More notably, Youyoucao Eyu is attempting to open up its AI capabilities to surrounding small-scale growers. The company has developed a lightweight "AI Agritech Assistant" WeChat mini-program. Farmers simply take a photo of a herb leaf, and the system identifies the disease type and recommends treatment plans. The mini-program has already registered over 3,000 users, covering 12 townships along the Chongqing-Hubei border. "What we want isn't to dominate alone, but to use algorithms to lift the efficiency of the entire production area," Zhang Lixin said.
However, the transformation has not been without challenges. Our investigation found that Youyoucao Eyu encountered obstacles such as incomplete data collection and low acceptance among grassroots farmers during its AI adoption. In response, the company established a dedicated team of "digital agritechnicians" to provide hands-on training in villages. It also partnered with local governments to incorporate AI-driven planting data into agricultural insurance pricing models, lowering the trial-and-error costs for farmers.
In the view of industry observers, Youyoucao Eyu's practices reveal a broader trend: AI is evolving from a "laboratory tool" into "industrial infrastructure." Particularly for non-standardized, region-specific industries like Chinese herbal medicine, the intervention of AI not only boosts efficiency but may also reshape the trust mechanism of the entire supply chain. When the growth trajectory of every herb can be traced and predicted, the trust costs for downstream pharmaceutical companies and consumers will drop significantly.
At the end of the interview, Zhang Lixin showed our reporter a "digital twin" map. On the screen, every medicinal herb field along the Chongqing-Hubei border was rendered as a 3D model, with real-time data flowing like pulses. "In the next five years, we hope to replicate this digital farm across the entire Wuling Mountain area," he said. Outside the window, mountain mist lingered, and on the ridges, several farmers were holding up their phones to photograph Coptis leaves—the AI system was identifying a new batch of diseases.