Group 1 - The "Luy Tea Industry Model" developed by Anhui Agricultural University is designed to enhance understanding of tea-related knowledge, utilizing databases on tea tree genomes, tea compounds, and health benefits [1][3] - The model provides accurate answers regarding tea classifications, such as clarifying that Anji white tea is processed as green tea, not white tea [1] - The introduction of specialized agricultural models like "Fengzhu" for soybeans and "Lixiang" for pears aligns with national policies promoting AI integration in agriculture [2] Group 2 - The integration of AI and big data in agriculture is transforming production methods, with a focus on intelligent breeding and precise selection of parent materials for crop improvement [2] - The establishment of a digital platform for rice and shrimp farming in Chuzhou County demonstrates the application of IoT and AI across the entire agricultural supply chain [5] - The smart farming system provides real-time monitoring and automated control of key environmental parameters, enhancing operational efficiency [4][5]

Core Insights - The world's first pear industry AI model "Li Xiang" and the first soybean industry AI model "Feng Shu" were launched in Hefei, Anhui, representing a significant advancement in the integration of artificial intelligence in agriculture [1][2]. Group 1: Pear Industry Model "Li Xiang" - "Li Xiang" encompasses eight functional modules, including historical culture, germplasm resources, smart breeding, gene library, literature analysis, efficient cultivation, pest control, and storage processing [1]. - The model integrates over 10,000 relevant documents, tens of millions of text data, thousands of Q&A pairs, over 10,000 images, hundreds of thousands of phenotype data, and hundreds of terabytes of genomic data [1]. - It aims to transform vast pear-related knowledge into practical productivity, addressing long breeding cycles and low efficiency in the pear industry [2]. Group 2: Soybean Industry Model "Feng Shu" - "Feng Shu" focuses on key bottlenecks in the soybean industry, integrating six functional modules: soybean encyclopedia, molecular data, literature, disease information, phenotype data, and breeding [2]. - The model consolidates over 30,000 high-quality data points, constructing a knowledge graph with 20,000 entities and 100,000 relationships, achieving a data cleaning and annotation accuracy of 98% [2]. - It aims to support breakthroughs in soybean yield, accelerate the breeding of innovative varieties, and enhance national food security through a generative AI breeding platform [2]. Group 3: Institutional Commitment - Anhui Agricultural University is committed to advancing the integration of artificial intelligence and agricultural technology, promoting a shift from traditional experience-driven methods to modern model-driven approaches [4]. - The university aims to build a comprehensive smart innovation system covering the entire agricultural value chain, contributing to the modernization and high-quality development of agriculture [4].