Group 1 - The core viewpoint of the article highlights the strategic partnerships formed by KJ Supply Chain Co., Ltd. with four major brands across different industries to enhance digital transformation and intelligent upgrades in supply chain management [2][3]. - KJ Supply Chain will provide customized smart supply chain solutions based on the specific characteristics and needs of each industry partner [2][3]. - The collaboration with Lenovo focuses on local storage and rapid allocation of goods, leveraging KJ's extensive warehousing network of over 160 locations [2][4]. Group 2 - The partnership with Jianmin Pharmaceutical aims to optimize supply chain management, enhance operational efficiency, and reduce delivery times and damage rates [3][4]. - KJ Supply Chain will offer one-stop operational services for e-commerce channels in collaboration with Zhenyan Biotechnology, utilizing major platforms like Tmall, JD, and Amazon [3][4]. - The cooperation with Heidi Garden will explore innovative paths in smart agriculture, establishing a standardized operational system across the entire supply chain from procurement to delivery [3][4]. Group 3 - KJ Supply Chain has a strong foundation in the smart supply chain sector, with a peak order processing capacity of 5 million orders per day and coverage in approximately 300 cities nationwide [4]. - The company has also established overseas warehouse networks in several Southeast Asian countries, indicating its capability in both domestic and cross-border logistics [4]. - Future plans include continuing to focus on customer needs and leveraging industry experience and technological innovation to deepen the application of smart supply chains across various sectors [4].

Core Viewpoint - The National Market Supervision Administration has issued guidelines to accelerate the digitalization of quality certification, leveraging AI and big data to enhance the credibility of agricultural products, smart products, and digital services [1][2]. Group 1: Goals and Timeline - The guidelines set specific goals in two phases: by 2030, to improve the top-level institutional design for quality certification digitalization and establish digital evaluation rules; by 2035, to fully develop a clear and innovative quality certification digital technology system [2]. Group 2: Focus Industries - The digital certification will initially focus on industries such as industrial internet, smart manufacturing, green low-carbon initiatives, and industrial software, promoting the transition from traditional to smart and green manufacturing [3]. - In agriculture, the guidelines encourage integrating quality certification into smart farms and fisheries, enhancing intelligent perception, precise control, and full-chain traceability management [3]. - The service sector will also be targeted, with a focus on creating a systematic service certification support system for education, healthcare, elderly care, smart cities, digital communities, and fintech [3]. Group 3: Consumer Experience - The ultimate goal of digital quality certification is to make trust transmission more efficient and consumer choices simpler, allowing consumers to scan a QR code to access comprehensive information about a product's supply chain [4]. - This system aims to eliminate concerns about product origins and quality, providing transparency through a single code that reveals all relevant information [4].

Core Insights - The article highlights the transformation of a saline-alkali land in Shandong Lijin into a high-tech vegetable factory, the Kaisheng Haofeng (Lijin) Smart Agriculture Demonstration Park, which produces high-quality cherry tomatoes year-round without relying on traditional farming methods [1][3]. Group 1: Agricultural Innovation - The demonstration park utilizes an intelligent management system to monitor and control 240 parameters such as temperature, humidity, and nutrient levels, allowing for a yield of 30 kg per square meter, which is 5 to 6 times higher than traditional greenhouses [3][6]. - The facility employs a soil-less cultivation method using rock wool substrates and bee pollination techniques, achieving clean production with zero heavy metals, zero pesticide residues, and zero hormones [6]. Group 2: Economic Impact - The park has created over 200 local jobs, with an average annual income increase of 60,000 yuan per person, significantly improving the livelihoods of local villagers [5]. - Workers like Qin Shuai have reported substantial income increases, earning around 300 yuan daily through piecework, compared to previous jobs with monthly incomes below 3,000 yuan [5]. Group 3: Market Reach and Sustainability - The products are marketed through a nationwide sales network, leveraging e-commerce platforms like Tmall, JD.com, and offline retailers, ensuring delivery to consumers' tables within 48 hours [5]. - The park serves as a replicable model for agricultural transformation in saline-alkali regions, promoting a shift towards standardized, chain-oriented, and smart agricultural practices [6].

Core Insights - The application of artificial intelligence (AI) in agriculture is rapidly advancing, with various innovations such as four-legged robots for smart farming and automated pollination robots being introduced [2][3] - The Chinese government has issued policies to accelerate the digital transformation of agriculture, emphasizing the integration of AI in breeding systems and agricultural management [2][4] Group 1: Current Developments in Smart Agriculture - Companies are utilizing AI technologies, such as drones and sensors, to enhance crop monitoring and pest control, leading to a reduction in pesticide costs by 10% to 20% [3] - The implementation of the "National Smart Agriculture Action Plan (2024-2028)" aims to promote smart agriculture through policy support, technology innovation, and service enhancement [4][6] Group 2: Benefits of AI in Agriculture - AI applications in agriculture are automating repetitive tasks like pesticide spraying and harvesting, which traditionally relied on human labor [4] - The use of IoT data allows farmers to make precise decisions regarding fertilization, irrigation, and crop management, thereby reducing costs and increasing efficiency [4][6] Group 3: Challenges Facing AI Adoption - There are significant challenges in data acquisition and sharing, with issues such as data fragmentation and lack of standardization hindering model training and application [7] - High costs of technology implementation and insufficient infrastructure in rural areas limit the widespread adoption of AI solutions [7] Group 4: Future Trends and Recommendations - By 2028, it is expected that the integration of information technology in agriculture will significantly enhance productivity and efficiency, with a target of achieving over 32% informationization in agricultural production [8] - The development of customized AI solutions tailored to the needs of smallholders is recommended to facilitate technology adoption and improve agricultural outcomes [9]

Core Insights - The recent harvest festivals across China highlight the integration of technology in agriculture, showcasing innovations such as agricultural robots and smart farming equipment [1][2] - The emphasis on seed innovation during the harvest festival reflects the importance of agricultural research and development in enhancing crop yields and modernizing agriculture [1] - The Chinese government is prioritizing agricultural technology innovation, aiming to position the country among the global leaders in agricultural science and technology [2] Group 1: Agricultural Innovations - Agricultural robots and "unmanned farms" were focal points at the harvest festival, demonstrating advancements in automation within the sector [1] - Smart agricultural devices, such as spore capture instruments and pest monitoring equipment, were showcased, indicating a shift towards data-driven farming practices [1] - The introduction of new seed varieties, such as "Chuan Garlic 3" and "Black Bright 59" eggplant, underscores the role of research institutions in developing innovative agricultural solutions [1] Group 2: Technological Integration - The use of blockchain and AI to create a comprehensive trust system for agricultural products was highlighted, showcasing the potential for enhanced traceability and accountability in the supply chain [2] - Projects like "carbon sink farmland," which allows for the calculation and trading of carbon emissions per acre, illustrate the intersection of agriculture and environmental sustainability [2] - The overall level of agricultural technology innovation in China is reported to be among the top globally, reflecting significant progress in the sector [2]

Core Insights - The 2025 Lishui Industrial Chain High-Quality Development Promotion Conference was held, featuring 37 projects with a total investment of approximately 16 billion yuan, focusing on sectors such as new energy, intelligent manufacturing equipment, new pharmaceuticals, and smart agriculture [1][2] Investment Projects - A total of 37 industrial investment projects were signed, with significant investments in various sectors, including a 1 billion yuan project for the Hong Kong Blanford terminal manufacturing base, which is expected to generate an annual output value of 1 billion yuan and tax revenue of 30 million yuan upon reaching full production [2] - The Yiyang Optical Materials and Touch Display Module R&D and Production Base project has an investment of 1 billion yuan, aiming for an annual production capacity of 1 million display modules [2] - The project for the recovery and R&D production base of 30,000 tons of lithium iron phosphate battery cathode materials has a planned investment of 500 million yuan, with an expected annual output value of 600 million yuan and tax revenue of 30 million yuan [2] - The Budatech Yangtze River Delta Semiconductor Packaging and Testing Production Center has a total investment of 120 million yuan, projected to achieve an output value of 150 million yuan and tax revenue of 4.5 million yuan upon reaching full production [2] Industrial Development Strategy - Lishui District is recognized as the only high-quality manufacturing development pilot area in the city, focusing on a modern industrial system characterized by "two new and two smart" industries, with 819 large-scale enterprises and an industrial output value exceeding 100 billion yuan [3] - The district has released 50 industrial cooperation opportunities to promote collaboration in new technologies and products, covering key industries such as new energy vehicles, intelligent manufacturing, and artificial intelligence [3] Investment Fund Initiatives - Lishui District is establishing a district-level state-owned enterprise investment fund, managed by Nanjing Zijin Venture Capital Fund Management Co., Ltd., targeting investments in "two new and two smart" industries to enhance project implementation efficiency [3] Future Development Vision - The district aims to create an optimal business environment by integrating resources and services, with a five-year development vision focused on becoming a hub for intelligent manufacturing and a culturally rich area [4] - A recent roadshow event titled "New Cooperation New Foundation" showcased four projects, allowing financial institutions to evaluate their feasibility and investment value, thereby facilitating capital alignment with local industrial upgrades [4]

新华财经成都9月24日电 四川省农业农村厅近日印发《四川智慧农业行动计划（2025—2028年）》（简 称《行动计划》），明确到2028年全省建成高水平智慧农场200个、智慧牧场50个、智慧渔场20个。四 川已启动智慧农业公共服务能力提升、重点领域拓展、发展创新应用3大行动10项重点任务。 同时，四川还将融合应用卫星遥感、无人机遥感、地面物联网传感等监测数据，绘制全省统一的农业农 村用地"一张图"，建设永久基本农田、高标准农田、承包地等专题图层。 四川将分阶段推进智慧农场建设：2025年推动粮油作物、经济作物等设施农业生产数字化改造升级，开 展设施蔬菜、设施中药材等植物工厂试点，建设1个智能化设施种植项目；针对茶叶、泡菜、中药材等 农产品加工企业，促进设施设备数字化改造，实施5个智改数转项目。 （文章来源：新华财经） 智慧牧场则以生猪、牛、羊等为重点，应用个体体征监测、疾病智能诊断、精准配方饲喂、自动采集清 污等技术装备。目前，四川已在德阳市旌阳区、绵阳市三台县、南充市南部县、阿坝州红原县等地进行 试点。 智慧渔场方面，四川将以天府鱼子酱、川南早虾、鮰鱼白乌鱼产业集群建设为抓手，在内江市市中区、 隆昌市，宜宾 ...

Core Viewpoint - The article emphasizes the significant role of smart agriculture in enhancing agricultural productivity and efficiency through the integration of technology, particularly in the Changji Hui Autonomous Prefecture of Xinjiang, China. Group 1: Smart Agriculture Development - The central government supports the development of smart agriculture, expanding the application of technologies such as artificial intelligence and big data in agriculture [1] - Changji has implemented smart agriculture practices, leading to a projected 8% increase in yield for major grain and cotton crops, with an average cost reduction of over 150 yuan per mu [1] - The Changji region has established high-standard farmland covering 5.3 million mu and promoted smart fertilization technology over 3.8 million mu [3] Group 2: Technological Integration - The Hui'er Smart Farm utilizes a centralized intelligent control system and various technologies, including soil moisture sensors and smart irrigation systems, to monitor and manage crop growth in real-time [2] - Smart irrigation systems in the farm save approximately 40 cubic meters of water per mu and increase income by around 200 yuan per mu compared to traditional methods [2] - The integration of satellite navigation and drones has led to a mechanization level of 98.55% in planting operations [3] Group 3: Training and Skill Development - Changji has established a high-standard digital agriculture training base, training over 20,000 farmers to improve their technical skills in smart agriculture [3] - Farmers have reported increased confidence in operating smart agricultural equipment after receiving training [3] Group 4: Application Scenarios - The "2+N" application scenario system in Changji includes smart cotton fields and agricultural training bases, promoting the digital transformation of agricultural production [5] - The smart demonstration cotton fields have achieved full mechanization from planting to harvesting, showcasing the effectiveness of smart irrigation and monitoring technologies [5] Group 5: Infrastructure and Resource Management - Changji has focused on enhancing water resource management to support smart agriculture, including the construction of small reservoirs to improve drought resistance [9][10] - The region has built a digital agriculture data platform and a county-level computing center to facilitate data integration and management in agriculture [7] Group 6: Economic Impact and Industry Growth - The development of smart agriculture has led to the establishment of a digital agriculture intelligent equipment industrial park in Manas County, supporting the local economy [11] - The region has cultivated 196 key agricultural enterprises and 1,249 farmer cooperatives, promoting a model of "enterprise + base + farmer" to enhance agricultural productivity [11]

Core Viewpoint - The development of smart agriculture is essential for modern agricultural advancement, focusing on enhancing productivity and efficiency through technology integration [3][8]. Group 1: Smart Agriculture Implementation - The Central Document No. 1 this year emphasizes support for smart agriculture, expanding the application of technologies such as artificial intelligence and big data [1]. - In Xinjiang's Changji Hui Autonomous Prefecture, smart agriculture is being implemented through IoT and big data, allowing for precise monitoring and management of farmland [1][2]. - The highest yield of winter wheat in Changji this year reached 840 kg per mu, with an expected 8% increase in yield for major grain and cotton crops, leading to an average cost reduction of over 150 yuan per mu [1]. Group 2: Technological Advancements - The Hui'er Smart Farm covers 2,687 acres and utilizes a centralized smart control system, enabling real-time monitoring and management of crop growth via a mobile app [2]. - Smart irrigation systems in the farm can save 40 cubic meters of water per mu and increase income by approximately 200 yuan, with fertilizer utilization rates improving by 30% [2]. - The promotion of high-standard farmland construction has reached 5.3 million mu, with 3.8 million mu adopting integrated water and fertilizer application technology [3]. Group 3: Training and Skill Development - Enhancing farmers' skills is a key focus, with over 20,000 farmers trained through a dual-track training model combining theory and practice [3]. - The establishment of high-standard digital agriculture training bases aims to improve the technical application levels among farmers [3]. Group 4: Application Scenarios and Models - Changji is developing a "2+N" application scenario system for smart agriculture, which includes demonstration areas for smart cotton fields and agricultural education integration [5]. - The smart demonstration cotton fields have achieved full mechanization from planting to harvesting, utilizing smart irrigation and growth monitoring technologies [5]. Group 5: Data Integration and Management - The establishment of a smart agriculture big data platform in Manas County has led to the creation of Xinjiang's first county-level digital agriculture computing center [7]. - Digital farmland in Manas County has achieved an average water savings of 30 cubic meters per mu and an increase in yield of 30 kg per mu [7]. Group 6: Industry Development and Economic Impact - The development of smart agriculture is linked to the growth of digital intelligent manufacturing industries, with projects for high-end agricultural production materials and smart water equipment being established [11]. - The integration of agricultural production and processing is crucial for driving smart agriculture, with 196 key agricultural enterprises and 1,249 farmer cooperatives established in Changji [11].

过去种地靠人力、靠经验，现在靠机械、靠智慧、靠数据，眼下，智慧农业正在重塑新疆昌吉州的农业 生产方式。当地发展智慧农业的实践表明，发展智慧农业须筑牢根基，因地制宜、循序渐进。 筑牢智慧农业发展根基，还应树立应用导向，立足本地实际探索数字化、智能化解决方案。新疆是我国 最重要的棉花产区，昌吉州结合本地农业生产实际，加强新型农业基础设施建设，因地制宜打造智慧示 范棉田，取得了明显成效，有力带动了智慧棉田推广。 此外，发展智慧农业，须着力构建新型农技服务体系，进一步重视和加大农技服务，建设一批高水平的 农业技术推广中心，兼顾推广新设备、新技术和个性化服务需求，增强服务建设智慧农田的能力。 发展智慧农业，还切忌一哄而上、盲目上马项目。应结合本地所需，构建好联农带农机制，让智慧农业 发展成果有效惠及广大农户，培育智慧农业发展内生动力，走出一条具有本地特色的智慧农业发展之 路。 （文章来源：经济日报） 昌吉州从丰富应用场景、打造示范农田、推广智能设备、强化技能培训等方面入手，大力发展智慧农 业，这些都是筑牢数智根基的举措。这些举措和取得的成就都不是一朝一夕就能实现的，须长期坚持、 久久为功。 目前，我国广大农民普遍缺乏数 ...