AI Takes Over Rice Fields in Sichuan, Boosting Yields to 863.6 kg per Mu

On September 14, the thousand-mu high-standard farmland in Yongfeng Village, Tahe Town, Dongpo District, Meishan City, Sichuan Province, buzzed with excitement. This year, 300 mu of the fields were managed by a specialized AI model—a first for the region. The shift from "judging fields by experience" to "making decisions based on data" is not just a tech experiment; it's a glimpse into the future of farming.

From Experience to Data: A New Way to Farm

Gone are the days when farmers relied solely on intuition. The AI system, developed as part of a project led by Sichuan Agricultural University, collects data through drone inspections and provides precise recommendations on planting, water and fertilizer regulation, and pest and disease early warning. Local large-scale grain farmer Zhao Youyong has felt the difference firsthand. "Before, we relied on experience for field inspections," he said. "Now, drones do the inspections, and the AI system sends timely alerts about pests and diseases, so we can handle them precisely. Farming has become much more convenient."

Impressive Yields Speak for Themselves

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

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, noted that the data proves combining quality seeds with AI precision management can unlock rice yield potential. "This provides a replicable technical path for large-scale yield improvement," he added. He also mentioned that over 240 new varieties demonstrated good performance in yield, plant shape, and rice quality this year, and intelligent precision sowing and AI technologies are already showing promising results.

What This Means for the Future

This pilot isn't just about one good harvest. It's about proving that AI can be a reliable partner in agriculture. As Ma Jun pointed out, the combination of quality seeds, appropriate methods, and AI precision management can effectively release the potential for rice yield increase. 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 model managed 300 mu of rice fields in Meishan, Sichuan, replacing traditional experience-based farming.
Drone inspections and AI recommendations improved pest and disease management.
Top yield reached 863.6 kg per mu, with all three varieties exceeding 826 kg per mu.
Experts see this as a replicable path for large-scale yield improvement.
Over 240 new rice varieties showed promising results in the same trial.

AI Takes Over Rice Fields in Sichuan, Boosting Yields to 863.6 kg per Mu