21 Village Chiefs Embark on Study Tour as Agricultural University's Tech Hub Ignites Dongping Tomato Greenhouses

Deep News
Yesterday

An innovative model combining a core support team with artificial intelligence has been successfully implemented in Paizi Village, turning a 30-mu tomato farm into a thriving case study of increased yield and income.

Early on June 5th, the tomato greenhouse base in Paizi Village, Dongping Street, Dongping County—a demonstration site for the Comprehensive Agricultural Science and Technology Service Station—buzzed with activity. Village chiefs from 21 neighboring villages arrived with their local leading growers, gathering in small groups at the entrance. Their mission was clear: to learn the secrets behind Fu Zengpeng's management of 15 tomato greenhouses.

Study Tour for 21 Village Chiefs

Fu Zengpeng manages 15 tomato greenhouses in Paizi Village. Over the past year, his greenhouses achieved an average yield of approximately 20,000 jin per greenhouse, compared to the local average of about 16,000 jin. This translated to an extra 4,000 jin per greenhouse and roughly 5,000 yuan more in profit per mu. News of this success spread, prompting the organized visit from 21 nearby villages. The visitors came not just to see the greenhouses, but to understand the new model that transforms ordinary farmers into standout performers.

Data in the App: Observing the AI Model in Action

On-site, Fu Zengpeng pulled out his phone and opened the service station's app, displaying real-time data: greenhouse temperature 26.3°C, humidity 67%, soil EC value 1.8. "We used to rely on intuition for greenhouse management; now we rely on data," he noted. One leading grower, squatting by a furrow, felt the soil and weighed a tomato in his hand: "The fruit is firm, the soil is loose, the fertilizer is clearly effective, and the management is indeed thorough."

However, what truly captivated the observers was not just the physical structure, but the operational model of "people on the ground, data in the cloud" enabled by the service station.

Core Team & AI: The Operational Engine of the Service Station

Operated by Shandong Agricultural University Fertilizer Science and Technology Co., Ltd., the service station's core is a "core support team": a Station Master with deep local knowledge from years in the village; an AI Agronomist backed by a crop database and full-cycle management models; and a Business Manager responsible for resource coordination and problem-solving.

What brings this team to life is the AI big data model and the integrated service app. Fu's 30-mu greenhouse is equipped with IoT devices that transmit real-time data to the AI model. The AI Agronomist then uses the app to create customized management plans. If the Station Master spots an issue in the field, a photo uploaded to the app triggers analysis and a diagnosis from the AI Agronomist. The Business Manager then ensures the necessary resources are allocated to implement the solution.

"Before, with watering and fertilizing, we'd just go by feel," said Fu Zengpeng, tapping his app. "Now the system alerts me on when to water, how much to use, and what fertilizer formula to apply—it's all clear. Even if I'm not at the greenhouse, a quick check on my phone tells me the situation."

The Star Effect: Service Station Boosts Farmer Profits

Upon entering an area, the service station's first step is creating a "digital profile"—conducting soil tests, measuring greenhouse structures, and reviewing historical yield data. This data feeds the AI model, forming the foundation for precise management.

"Using this system, the biggest benefit is stability," Fu Zengpeng calculated. Last season, his average tomato yield increased from 16,000 to 20,000 jin per greenhouse, a gain of 4,000 jin, translating to about 5,000 yuan more per mu. The annual income boost across his 30-mu operation is substantial. Growers from nearby towns now frequently visit his greenhouses to look and ask questions. His success with 15 greenhouses has drawn the study tour from 21 villages, all eager to learn the model that turns ordinary growers into local stars.

"In the future, I want to bring more farmers on board," Fu said. "One person getting rich isn't much; everyone prospering is the real goal."

A Triple Win: Benefits for Station, Growers, and Local Staff

As the tour concluded at the edge of the greenhouse area, Village Party Secretary Zhang Qingrui spoke up: "Good seedlings are the roots, good technology is the trunk, and good sales are the fruit. Only when all three are good can farmers truly make money."

This integration of the "three goods" is achieved by the service station uniting three parties. The station accumulates local soil, climate, and farming experience into its database, continuously refining the AI model's accuracy. Tangible success stories like increased yields naturally build brand credibility—farmers trust what works for their neighbors.

Growers gain real financial benefits: an extra 4,000 jin per greenhouse and 5,000 yuan more per mu on a 30-mu farm. The local Station Master builds trust by serving their own community, with service fees and agricultural supply sales providing stable income—their reputation is their livelihood.

This mutual benefit for all three parties keeps the system running smoothly. It also marks the key difference from the traditional "sell fertilizer and leave" approach: the service station doesn't just sell a product; it sells a complete "people on the ground, data in the cloud" farming management solution.

Observer Approval: "We'll Try It Back Home Too"

As the visit wrapped up, the village chiefs and growers gathered outside the greenhouses to discuss. The chief from the neighboring village to Paizi pulled out a notebook: "How much does their IoT equipment cost per set? Our village has seven or eight major tomato growers; I'd like to try this back home."

A grower named Brother Wang asked, "I'm over fifty and not great with smartphones. Is this system easy to learn?" The Business Manager responded, "The Station Master provides hands-on guidance; you can get the hang of it in two or three days. For those who really can't manage, the Station Master can check the data and simply tell you the results." This reassurance addressed many concerns.

There was no ribbon-cutting or banners for this event—just a group of people spending a morning intently observing the greenhouses. Yet, as they left, many carried a planting technology manual and had a QR code for the app on their phones. Moving from "watching the spectacle" to "wanting to try it" represents the most tangible step in agricultural technology adoption. In this shift from "seeing the greenhouse" to "learning the model," the Comprehensive Agricultural Science and Technology Service Station is moving from behind the scenes to the forefront, becoming an increasingly prominent name in Dongping's greenhouse farming community.

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