AI Takes Over the Rice Fields: 863.6 kg per Mu in Sichuan Pilot

In the rolling fields of Yongfeng Village, Tahe Town, Dongpo District, Meishan City, Sichuan Province, something unusual happened this harvest season. On September 14, as combines rolled through the thousand-mu high-standard farmland, 300 mu of it had been managed not by traditional farming wisdom alone, but by an AI model specifically designed for rice cultivation.

Gone are the days of "judging fields by experience." Now, it's all about making decisions based on data.

From Experience to Data

The embankments were crowded with agricultural experts and curious farmers, all gathered to witness a field test. An expert group organized by the Sichuan Provincial Science and Technology Department was evaluating a project led by Sichuan Agricultural University: the "Integrated Demonstration and Application of High-quality, High-yield, and Efficient Production Technologies for Rice-Vegetable (Medicinal) Crops in the Chengdu Plain."

So how does it work? The AI system collects data through drone inspections, then provides precise recommendations on planting, water and fertilizer regulation, and pest and disease early warning.

Local large-scale grain farmer Zhao Youyong put it simply: "Before, farming relied on experience for field inspections. Now, using drones and the AI system, we get timely information about pests and diseases, so we can handle them directly. Farming has become more convenient."

The Numbers That Matter

The expert group's standardized yield test delivered solid results. All three core varieties in the 300-mu AI pilot fields performed impressively:

"Huazheyous 210" (high-yield, high-quality hybrid rice): 826.8 kg per mu
"Shengliangyou 222" (super-high-yield indica-japonica hybrid rice): 863.6 kg per mu
"Quanyou 169" (super-high-yield hybrid indica rice): 858.8 kg per mu

Ma Jun, a rice cultivation expert at Sichuan Agricultural University, explained that these yields prove that combining quality seeds with appropriate methods and AI precision management can effectively release the potential for rice yield increase. It offers a replicable technical path for large-scale yield improvement.

He also noted that more than 240 new varieties demonstrated good performance in yield, plant shape, and rice quality in Yongfeng Village this year. The application of intelligent precision sowing technology and AI has already shown initial results.

What This Means for the Future

This pilot isn't just about one good harvest. It's a glimpse into how AI can transform traditional agriculture. By moving from experience-based to data-driven farming, growers can make more informed decisions, reduce risks, and potentially achieve higher yields sustainably.

As Ma Jun pointed out, the combination of quality seeds, appropriate methods, and AI precision management provides a technical path that can be replicated on a larger scale. For a country that feeds 20% of the world's population with less than 10% of its arable land, such innovations are more than welcome—they're essential.

Key Points

AI-managed pilot field in Sichuan achieved rice yields up to 863.6 kg per mu.
Drones and data replaced traditional experience-based farming for planting, fertilization, and pest control.
Three rice varieties all exceeded 826 kg per mu, proving the effectiveness of AI precision management.
Experts say this approach offers a replicable path for large-scale yield improvement.
The future of farming is shifting from "judging fields by experience" to "making decisions based on data."

AI Takes Over the Rice Fields: 863.6 kg per Mu in Sichuan Pilot