Group 1 - The "Future Pig Farm Intelligent Breeding Overall Solution" developed by Shenzhen Shuying Technology Co., Ltd. and applied by Guangxi Yangxiang Group has attracted significant attention at the 22nd China-ASEAN Expo, showcasing the integration of IoT, AI, and big data in agriculture [1] - This solution has been implemented in over 100 medium to large-scale breeding enterprises, serving more than 5 million pigs, indicating its widespread adoption and effectiveness in the industry [1] - The core device, "Precision Feeding Instrument 3.0," utilizes data from 200,000 sows to create a comprehensive nutritional model, optimizing feeding strategies and reducing feed costs while improving pig health and reproductive rates [1] Group 2 - The ASEAN market is showing strong interest in the intelligent breeding solution, with over 500 sets of smart equipment already shipped to Vietnam, highlighting the region's potential for growth in smart agriculture [2] - The pig farming industry is crucial for national food security, and the shift towards large-scale breeding is essential for maintaining stable production and supply [2] - The "Tudi AI" system developed by Guangxi Jiejiarun Technology Co., Ltd. provides rapid agricultural advice, demonstrating the role of AI in enhancing agricultural practices and decision-making [2] Group 3 - Guangxi Nongtou Shiyi Agricultural Technology Co., Ltd. has established a modern silkworm breeding laboratory system, achieving an 85% recognition rate in its AI systems, with expectations to reach a 93% success rate in silkworm breeding by 2024 [3] - The integration of AI with traditional farming practices is emphasized as essential for addressing the complexities of agricultural production, indicating a shift from experience-based to technology-driven methods [3] - The acceptance of technology among farmers is growing as they witness tangible results, showcasing the transformative potential of smart agriculture [3]

Core Insights - The article highlights the significant investment in China's smart agriculture sector, with Beijing Maimaiqugeng Technology Co., Ltd. securing a Pre-A round investment of 100 million yuan, marking the largest financing in this field to date [1] - The founder of Maimai Technology believes that AI applications in agriculture present a unique opportunity for rapid advancement, as the sector can adopt the latest technologies without the burden of outdated systems [1][2] Company Overview - Maimai Technology, established in 2015, focuses on empowering the agricultural industry through technologies such as AI, cloud computing, blockchain, and IoT [2] - The company categorizes its technological applications into three areas: "eyes" for data collection, "brain" for analysis and decision-making, and "hands" for implementation [2][3] Market Position and Strategy - Maimai Technology aims to differentiate itself by focusing on the "brain" aspect, developing tailored models for various crops to address specific agricultural needs [3][4] - The company has collaborated with multiple large model companies to integrate open-source capabilities into agricultural scenarios, developing models for over 200 crop varieties and nearly 1,000 vertical scenarios [4] Competitive Landscape - The main competitors in the "AI + agriculture" space include top international research institutions, leading biotech companies, domestic research institutions, and emerging companies with backing from major tech firms [5][6][7] - Maimai Technology's unique selling proposition lies in its business model, which emphasizes accountability for results and has led to successful projects in various agricultural settings [7][8] Market Demand and Trends - The demand for agricultural technology is strong, with a project-to-lead ratio of 1:10, indicating a robust market interest [9] - The industry is experiencing a "golden age" due to favorable economic conditions and rapid advancements in technology, which have significantly reduced costs for agricultural innovations [9] Challenges and Opportunities - Key challenges facing the industry include a lack of standards across the agricultural supply chain, a shortage of interdisciplinary talent, and the need for increased capital investment [10][11][12] - Maimai Technology plans to allocate 80% of its recent funding towards research and development, focusing on building models for over 300 advantageous crop varieties in China [12][14] Future Directions - The company aims to establish competitive capabilities against foreign firms within 2-3 years, focusing on crops where China is either the largest producer or consumer [14]

2025年9月23日是第八个"中国农民丰收节"。近年来，深圳抓住新一轮农业科技革命带来的机遇，大力 发展农业高新技术产业，促进科技、经济紧密结合，打造农业科技高地，为农业强国建设和农业农村现 代化建设贡献深圳力量。为展现深圳农业科技企业在开展关键核心技术攻关，助力农业产业向现代化、 数字化、智慧化转型升级过程中的积极作为以及示范效应，深圳商报今起推出"数智农业在深圳"系列报 道，敬请垂注。 深圳商报记者 苑伟斌 清晨6时，惠州东江牧歌基地的负责人打开手机，对准一片泛黄的水稻叶片拍照上传，5秒后丰农控 股"识农"小程序弹出诊断结果——水稻黄叶病预警，建议立即采用吡虫啉+无人机飞防方案；在南沙火 龙果基地，应用的数智丰农DAP管理系统和智能补光调控系统，可以将现蕾日期的预测误差压缩至1天 以内，针对补光促花系统实施精准定时补光、电价波谷补光、智能动态调整管控。 2025年是"AI+智慧农业"数智农业发展的重要节点。深圳市丰农控股（集团）有限公司（简称"丰农控 股"）紧扣农业产业互联网化与数智化趋势，从农资电商切入，将业务延伸至基地托管、智慧农业、农 业教育、产业投资、科技孵化，形成"产品+服务+技术+人才+资本" ...

主办举位：联合国 Coorganized by 发用单位： 40 Supported by 2025农创客大赛期间各国参赛选手交流经验 出品｜搜狐科技 作者｜常博硕 8月29日，2025全球农创客大赛决赛在杭州圆满落幕。9支青年农业创业团队从全球97个国家的519份申请中脱颖而出，围绕数字农业关键技术展开激烈角 逐。 经过现场路演比拼，坦桑尼亚SafeSip团队凭借禽业安全用水的创新方案斩获金奖；中国"猪群实时守护战"团队研发的智能化养猪方案荣获银奖；美国 PlantPulse Patch团队聚焦温室高价值作物病害预警监测，摘得铜奖。他们将获得由拼多多资助的"项目推进种子资金"，其中金银奖团队的负责人，还将受邀 参加在罗马举行的2025年粮农组织科学与创新论坛，在世界舞台上展示其农业科创成果。 2025全球农创客大赛由联合国粮食及农业组织（FAO）、拼多多和浙江大学共同主办，农业农村部对外经济合作中心和杭州市滨江区人民政府提供支持。 这项自2020年创办的全球青年农业科创赛事如今已成功举办五届，拼多多也已连续五年深度参与并投入支持。大赛旨在汇聚全球青年的创新力量，鼓励青年 以数字技术和商业模式创新来推动农业与 ...

Core Insights - The integration of AI into agriculture is accelerating, driven by mature underlying infrastructure and supportive government policies, positioning agriculture as a key area for AI application [1][2] - The recent release of the State Council's opinions emphasizes the importance of accelerating the digital transformation of agriculture as a critical direction for AI+ industry development [1] - The trend towards AI in agriculture is expected to enhance food security and propel China from an "agricultural power" to an "agricultural technology powerhouse" [1] Policy Framework - The concept of "developing new quality productivity in agriculture" was introduced in the Central Document No. 1 this year, highlighting the need for smart agriculture and the application of AI and data technologies [2] - Local governments are actively implementing supportive measures, such as the "Jiaxing City Action Plan (2025-2027)" which promotes AI in modern agriculture and encourages the development of intelligent monitoring systems [2] - The establishment of a comprehensive policy framework is expected to provide solid support for the industrialization of AI in agriculture, enhancing the attractiveness for quality enterprises and capital [2] Industry Development - The current state of AI in agriculture is still in its early stages, but the pace of adoption is accelerating due to improved mechanization and clear quantitative policy goals [3] - Companies like Zhejiang Topcloudy Agricultural Technology Co., Ltd. and Hubei Fubon Technology Co., Ltd. are actively integrating AI into their agricultural practices, developing innovative tools and digital services [3] - Yuan Longping Agricultural High-Tech Co., Ltd. has successfully applied AI in breeding systems, achieving a 64.2% improvement in breeding efficiency through deep neural networks [3] Challenges and Solutions - Despite breakthroughs in various applications, the overall penetration rate of AI in agriculture remains low compared to industrial sectors, facing challenges such as data disconnection and talent misalignment [4] - Proposed solutions include establishing demonstration bases and cooperatives to alleviate data collection issues, developing low-cost solutions to lower barriers for farmers, and focusing on high-value crops to create benchmark cases [4]

Investment Rating - The industry rating is "Outperform the Market" [4][86] Core Views - In July, pig farming companies experienced a decrease in the number of pigs slaughtered, with a reduction in average weight continuing. The total number of pigs slaughtered by 18 companies was 15.96 million heads, a month-on-month decrease of 5.39% but a year-on-year increase of 24.48% [13][18] - The average price of pigs has shown a slight rebound, with the national average price on August 15 being 13.73 yuan/kg, an increase of 0.06 yuan/kg week-on-week. The average weight of pigs slaughtered also saw a slight increase [21][29] - The poultry sector is experiencing mixed trends, with broiler prices stabilizing after a previous increase, while chick prices remain high. The average price of white feather broilers was 7.20 yuan/kg on August 15, up 0.06 yuan/kg week-on-week [48][51] - The demand for eggs is expected to grow seasonally, with the average price of eggs at 6.40 yuan/kg from August 11 to August 14, reflecting a week-on-week increase of 0.17 yuan/kg [51] Summary by Sections Pig Farming - July saw a decrease in the number of pigs slaughtered, with a total of 15.96 million heads, a month-on-month decrease of 5.39% and a year-on-year increase of 24.48% [13][18] - The average weight of pigs slaughtered in July was 128.59 kg, with a slight month-on-month decrease of 0.01 kg [18][21] - The average selling price of pigs increased to 14.65 yuan/kg in July, a month-on-month increase of 1.90% [18][21] - The industry is under pressure from supply increases, with expectations of a 5.26% to 7.01% increase in slaughter numbers in August [43] Poultry Sector - Broiler prices have stabilized after previous increases, with the average price at 7.20 yuan/kg on August 15, reflecting a week-on-week increase of 0.06 yuan/kg [48][51] - Chick prices remain high, with the average price at 3.58 yuan per chick, up 0.45 yuan week-on-week [48] - The demand for eggs is expected to rise seasonally, with the average price at 6.40 yuan/kg, a week-on-week increase of 0.17 yuan/kg [51] Agricultural Products - Soybean meal prices have increased, with the DCE soybean meal contract closing at 3137 yuan/ton on August 15, a week-on-week increase of 43 yuan/ton [64] - The current market conditions are influenced by USDA reports and trade policies affecting supply and demand dynamics [64]

Core Insights - The article highlights the transformative journey of Top Cloud Agriculture Technology Co., Ltd. under the leadership of its chairman, Chen Yuyang, who aims to reshape traditional agriculture through advanced technology [1][2]. Group 1: Company Overview - Top Cloud Agriculture, founded by Chen Yuyang, has evolved from a seed inspection equipment manufacturer to a leader in smart agriculture, holding 238 national patents and 401 software copyrights [1][6]. - The company has recently moved into a modern 30,000 square meter office building, symbolizing its growth and ambition in the agricultural technology sector [1]. Group 2: Technological Innovations - The company has developed an integrated monitoring system that utilizes drones, pest detection lamps, and smart irrigation to optimize agricultural practices [2][5]. - Top Cloud Agriculture has created a digital farming ecosystem that connects over 1,000 government agricultural departments, research institutions, and related enterprises, promoting collaboration and innovation [3][8]. Group 3: Market Impact - The company’s revenue from smart agriculture projects is projected to exceed 294 million yuan in 2024, surpassing its income from hardware sales by over 100 million yuan, indicating a shift towards software-driven growth [8]. - The introduction of affordable agricultural tools has made advanced technology accessible to farmers, enhancing productivity and efficiency in crop management [7][8]. Group 4: Future Aspirations - Top Cloud Agriculture is collaborating with Nanjing Agricultural University to establish a national plant phenotype database and develop AI models for precision agriculture [9][10]. - The company aims to create an open-source AI platform that integrates technology across the entire agricultural value chain, facilitating data sharing and advanced agricultural practices [10].

Core Insights - The core viewpoint of the articles is the introduction of the iMAP agricultural model by China National Chemical Corporation, which aims to integrate AI technology into traditional agriculture to enhance decision-making processes throughout the entire planting cycle [1][2]. Group 1: iMAP Agricultural Model - The iMAP agricultural model is designed to provide intelligent decision support across the entire agricultural process from plowing to harvesting, leveraging extensive agricultural experience and vast field data [1]. - iMAP combines online intelligent decision-making with offline personalized services, effectively addressing the challenges of agricultural technology promotion and ensuring the application of advanced AI technologies in farming [1]. Group 2: Implementation and Impact - The first version of iMAP is currently being tested in major grain-producing areas such as Inner Mongolia and Northeast China, with a trial area of 1 million acres focused primarily on corn crops [2]. - Initial results indicate that the use of iMAP has reduced the time required for agricultural decision-making by 75% through its intelligent perception, analysis, and decision-making capabilities [2]. Group 3: Future Plans and Collaborations - China National Chemical Corporation plans to expand collaborations with academic and research institutions to establish a leading example in the "AI + Agriculture" sector, contributing to national food security and accelerating agricultural modernization [2]. - The company operates hundreds of agricultural MAP technology service centers across 26 provinces in China, with a service scale exceeding 40 million acres, supporting the iMAP model with a robust data foundation [2].

Core Insights - Conghua has emerged as a vital agricultural hub in the Guangdong-Hong Kong-Macao Greater Bay Area, particularly known for its high-quality lychee production [1][8] - The total lychee planting area in Conghua reaches 293,800 acres, accounting for 7.3% of Guangdong Province and 53.8% of Guangzhou, with an expected total yield of approximately 76,000 tons this year [1][8] - The integration of technology in agriculture has significantly enhanced the efficiency and sustainability of lychee production, reducing pesticide use by 20% and labor costs by 40% [4][6] Agricultural Production - Conghua's lychee industry is characterized by a diverse range of varieties, including "Qiangang glutinous rice" and "Liuxi桂味," which contribute to its unique flavor profile [3][4] - The region has established itself as the largest lychee deep processing base in South China, with an annual processing capacity exceeding 20,000 tons and a processing rate of over 35% [8][9] - The expected production value from the 76,000 tons of lychee is projected to exceed 5 billion yuan, with an export volume anticipated to surpass 4,000 tons [8][9] Technological Advancements - The implementation of smart agricultural practices has created a closed-loop system that enhances management efficiency by over three times per acre [4][5] - Innovations such as AI-driven agricultural models and automated harvesting robots have improved the precision and speed of lychee cultivation and harvesting [5][6] - Cold chain technologies, including ultra-low temperature freezing and ice water spraying, have extended the shelf life of lychees, allowing for better market reach [7][8] Economic and Cultural Integration - Conghua is leveraging its lychee production to drive the integration of agriculture, culture, and tourism, creating a comprehensive economic model [8][10] - The region has introduced themed tourism routes that combine lychee picking with wellness experiences, enhancing visitor engagement and local economic activity [9][10] - Digital initiatives, such as the "Flower Time Tour Conghua" app, facilitate consumer access to lychee products and tourism services, promoting a seamless experience for visitors [10]

Group 1 - The forum "2025 China-Shanghai Cooperation Organization Artificial Intelligence Cooperation Forum" highlighted China's role in promoting AI applications among SCO member countries, aiming to share the benefits of AI development [1][2] - Agricultural technology company, Noxin Technology (Tianjin) Co., is training farmers in Russia to use automated navigation systems for soybean planting, enhancing operational efficiency through AI algorithms and positioning technology [1][2] - The forum emphasized the importance of AI in agriculture, showcasing products like agricultural drones and automated navigation systems, with Noxin Technology reporting sales of dozens of navigation systems to Russia [1][2] Group 2 - AI is recognized as a strategic technology leading a new wave of technological revolution and industrial transformation, with "AI + agriculture" significantly changing the industry landscape [2] - The National Development and Reform Commission of China reported a comprehensive improvement in the country's AI capabilities, establishing a complete AI industry system and expressing willingness to deepen cooperation with SCO member states [2][3] - The forum aims to enhance practical cooperation in AI development and governance among SCO member countries, promoting the establishment of an AI application cooperation center [3]