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China Agricultural University Unveils AI-Powered Shennong Model 3.0

China Agricultural University Unveils AI-Powered Shennong Model 3.0

At the 2025 World Agricultural Science and Technology Innovation Conference, China Agricultural University made waves with the official launch of its Shennong Large Model 3.0. This cutting-edge agricultural artificial intelligence system represents a significant leap forward in China's agricultural technology landscape.

Evolution of Agricultural AI

The Shennong model has undergone remarkable transformations:

  • Version 1.0: Basic agricultural knowledge Q&A capabilities
  • Version 2.0: Added multimodal functionality for practical applications
  • Version 3.0: Focuses on 36 specialized agricultural agents with three size variants (32B, 7B, and 1B)

Image

Image source note: The image is AI-generated, and the image licensing service provider is Midjourney.

Technical Advancements

The latest iteration boasts impressive improvements:

  • 50% reduction in computing power requirements
  • Computational efficiency enhancements
  • Performance loss for key tasks maintained below 1% These advancements make agricultural AI more accessible and practical for widespread use.

Comprehensive Ecosystem

The university simultaneously launched:

  1. Shennong Large Model Agent Platform: Creating an AI application ecosystem with 36 specialized agents
  2. Three all-in-one machines: Ensuring data security and operation in harsh environments

The platform aims to elevate agricultural AI to "system intelligence" levels while addressing real-world challenges.

Current Impact and Future Prospects

The Shennong model already serves:

  • Over 100,000 users nationwide
  • Multiple pilot regions across China

The university plans continued research to expand the technology's benefits to rural development.

Key Points:

  • Shennong Model 3.0 marks significant progress in agricultural AI technology
  • Specialized agents target diverse agricultural scenarios
  • Hardware solutions address practical implementation challenges
  • Technology currently deployed across multiple Chinese regions

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