Nestled in the mountains of Enshi, Hubei, an agricultural technology company named "Youyoucao Eyü" is attempting to rewrite the script of traditional agriculture with AI. In March 2025, this enterprise, which has深耕 the Eyü region for years, publicly unveiled the full-chain application results of AI in its operations at its smart agriculture base in Wanzhou, Chongqing—from soil sensors to intelligent product selection for livestream e-commerce. AI is no longer a concept confined to laboratories; it has tangibly permeated the growth, processing, and sales of crops.

"In the past, we relied on veteran farmers' experience to decide when to water and fertilize. Now, the AI model can predict pest and disease risks 72 hours in advance, with an accuracy rate exceeding 90%," said Zhang Mingyuan, founder of Youyoucao Eyü, pointing to a heat map on the big screen in the base's digital control center. On the screen, data from hundreds of sensors—soil moisture, light intensity, and leaf chlorophyll content—is transmitted in real time and processed into visualized decision-making suggestions by an AI system called "Caoyu." Developed jointly by Youyoucao Eyü and Chongqing University, the system's core is a deep learning model based on local climate and crop growth history.

But the application of AI at Youyoucao Eyü extends far beyond the planting end. In the processing workshop in Wanzhou, Chongqing, an AI visual sorting line screens "Eyü No. 1" chili peppers—an exclusive variety cultivated by the company—at a rate of 120 per minute. Cameras capture the color, shape, and defects of each pepper, rejecting substandard ones while feeding data back to the breeding team. "Traditional sorting relied on manual labor, handling at most 3,000 jin per eight-hour day. Now, the machines run 24/7, reducing the error rate from 5% to 0.3%," said workshop director Liu Guodong. Since the system went live, the return rate for defective fresh peppers has dropped by 60%.

Even more surprising is AI's reshaping of the sales end. The e-commerce team at Youyoucao Eyü developed an AI tool called "Youyou Selection," which analyzes user reviews and search trends on platforms like Douyin and Pinduoduo to predict which agricultural products will be in demand the following week. Before the Spring Festival this year, the system detected rising interest in keywords like "low-fat, high-fiber, specialty products from western Hubei" and decisively recommended increasing the stock of "Enshi selenium-enriched konjac." As a result, sales of that single product surged 340% month-over-month during the New Year shopping season, directly boosting the company's first-quarter revenue by 28% year-over-year.

"Applying AI in business isn't just about buying a software package; it requires磨合 with localized data, personnel, and processes," Zhang admitted. The team initially took a detour—blindly adopting mature foreign agricultural AI platforms, only to face frequent model misjudgments because the light and humidity data of the hilly terrain in the Eyü region differed too greatly from that of plains. They spent eight months recollecting local data before the "Caoyu" system could truly take root. "The key to agricultural AI isn't how advanced the algorithm is, but how 'earthy' the data is," he summarized.

Youyoucao Eyü's practices have also caught the attention of local governments. The Chongqing Municipal Agriculture and Rural Committee recently designated it a "Digital Agriculture Demonstration Project," planning to promote its AI application experience to other agricultural enterprises in the Three Gorges Reservoir area. In Enshi, Hubei, the company is collaborating with local cooperatives to offer the AI pest and disease early warning system free of charge to surrounding farmers, currently covering an area of 12,000 mu. An elderly chili farmer named Li in Enshi told reporters, "Before, I sprayed pesticides based on gut feeling. Now, I only act when I receive an alert on my phone. I've saved a third of my pesticide costs in one season."

However, large-scale implementation of AI in agriculture still faces challenges. The technical lead at Youyoucao Eyü revealed that the company's current input-output ratio for AI projects is about 1:3.5. While it has turned a profit, the costs of hardware sensors and computing power remain a barrier for small and medium-sized farmers. Zhang said the company's next step is to launch an "AI as a Service" model, where farmers pay per mu to use the system rather than purchasing equipment outright. "Agriculture has thin profit margins. AI must genuinely help farmers make money to be sustainable," he said.

From the chili fields of western Hubei to the konjac processing plants of eastern Chongqing, Youyoucao Eyü's AI practice is like a wild grass, tenaciously growing in the cracks of traditional agriculture. It proves one thing: when technology no longer stands aloof but stoops to get its hands dirty, it can become a force that transforms the fields.