https://en.people.cn/n3/2026/0210/c90000-20424351.html

https://news.sciencenet.cn/htmlnews/2025/10/553081.shtm

The China Agricultural University’s College of Information and Electrical Engineering has developed an AI-based language model of agricultural knowledge called Shennong Large Model. It contains agricultural information from more than 3,000 books, combined with publicly available sources, and serves over 100,000 farmers nationwide. To ensure the model was truly practical, the team traveled to more than 20 provinces across China. They collected real-world data on soil composition, irrigation practices, pest and disease outbreaks, and extreme weather impacts, covering the entire agricultural production chain.

Version 1.0 was released in December 2023, offering capabilities such as agricultural knowledge Q&A, semantic understanding of agricultural texts, text summarization and decision support for farming operations. Version 3.0, launched in October 2025, introduced 36 specialized intelligent agents for scenario-specific cultivation guidance, significantly lowering the barrier to use.

Today, the Shennong Large Model features a proprietary knowledge system covering 90 percent of agricultural disciplines and 80 percent of farming scenarios. Its core database includes 10 million knowledge graph entries, 20 million annotated images and 50 million production records.