Core Insights - The CCF 2025 China Digital Services Conference was held from August 19 to 21, focusing on the theme "Smart Services: Reshaping Industrial Systems and Empowering Social Governance" [1] - The conference attracted over 1,000 participants, including top experts and representatives from universities, research institutions, and well-known enterprises [1] Event Highlights - The conference featured a diverse range of sessions including invited reports, regular forums, academic forums, educational forums, and innovation competitions [1] - A new educational and academic forum was established in the low-altitude economy sector to address national professional and industrial needs [1] - The Shandong Computer College Dean Forum was introduced to support the development of local academic disciplines [1] Research and Innovation - The conference covered over 100 cutting-edge topics such as intelligent unmanned systems, agricultural large models, AI in biomedicine, quantum computing, low-altitude economy, edge intelligence, integrated vehicle-road-cloud systems, and cloud-native service governance [1] - A total of 116 papers were submitted, with 49 accepted, showcasing the latest research achievements and industrial practices in China's digital services sector [1]

Core Insights - The "Jiurang Yunxing" agricultural model solution was jointly launched by Northwest A&F University and Huawei Technologies at the fourth academic annual meeting of the Smart Agriculture Professional Committee of the Chinese Society of Crop Science [1] - This agricultural model is based on a domestic computing platform and aims to overcome traditional agricultural data processing challenges such as data dispersion and low analysis efficiency [1] - The solution integrates vast academic resources and provides precise solutions for various agricultural issues, helping farmers quickly match with experts and offering validated solutions [1] Summary by Categories Product Development - "Jiurang Yunxing" utilizes innovative algorithm architecture to develop advanced methods for multi-source data fusion, knowledge graph construction, and intelligent analysis and decision-making [1] - The model supports six application modes including fruit industry, livestock, field crops, traditional Chinese medicine, tea industry, intelligent control, and soil protection [1] Market Impact - The solution has been piloted in regions such as Shaanxi, Shanxi, Sichuan, Gansu, Ningxia, Xinjiang, and Inner Mongolia, serving over 200,000 acres of farmland and generating over 100 million yuan in economic benefits [1] - The future goal of "Jiurang Yunxing" is to achieve human-machine natural interaction, enhancing its ability to understand human language [1]

Core Viewpoint - The "Jiurang Yungxing" agricultural model, developed by Northwest A&F University, represents a significant advancement in modern agriculture by integrating multi-source data and providing precise solutions for various agricultural challenges [1][2]. Group 1: Agricultural Model Development - "Jiurang Yungxing" is the first agricultural model trained and released on a domestic computing platform, addressing issues of data fragmentation and low analysis efficiency in traditional agriculture [1]. - The model incorporates advanced methods such as multi-source data fusion, knowledge graph construction, and intelligent analysis and decision-making, applicable across six major agricultural sectors [1]. Group 2: Practical Applications and Collaborations - The model has been implemented in collaboration with agricultural enterprises managing thousands of acres, applying industrial-level control to the farming process by standardizing over a hundred operational nodes [2]. - "Jiurang Yungxing" has been piloted in regions including Shaanxi, Shanxi, Sichuan, Gansu, Ningxia, Xinjiang, and Inner Mongolia, serving over 200,000 acres and generating economic benefits exceeding 100 million yuan [2]. Group 3: Future Aspirations - The model aims to facilitate human-machine interaction in agriculture, with future agricultural robots expected to understand human commands, making the model a bridge for precise control and execution [2].

Core Viewpoint - The forum on digital agriculture in Hubei aims to enhance rural revitalization through smart agriculture, showcasing technological advancements and fostering collaboration between cross-strait agricultural sectors [1][3]. Group 1: Forum Highlights - The forum attracted over 100 participants, including experts from agricultural universities, industry associations, and enterprises from both sides of the Taiwan Strait [1]. - Hubei province has made significant progress in smart agriculture by leveraging digital technology and artificial intelligence, achieving results in infrastructure, technology application, and industry integration [1]. - Over 20 technological achievements in smart agriculture were presented, covering various agricultural products such as rice, rapeseed, cotton, tomatoes, citrus, fish, and pigs, focusing on areas like biological breeding and standardized cultivation [1]. Group 2: Expert Insights - Experts shared insights on topics such as the development of leisure agriculture, integration of agricultural technology with smart machinery, and the application of digital agriculture technologies, addressing challenges and strategies for promotion [1]. - The forum included a report on the difficulties and needs of Taiwanese enterprises in technology research and agricultural production, leading to targeted support from expert teams [1]. Group 3: Collaboration and Agreements - Four research teams from institutions like Huazhong Agricultural University and Hubei Academy of Agricultural Sciences signed technology cooperation agreements with four Taiwanese enterprises during the forum [1]. - The chairman of the Taiwan Rural Development Foundation expressed interest in Hubei's agricultural resources and smart agriculture equipment, indicating potential procurement discussions [2].