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丰农控股深耕“AI+农业”,成为农业科技变革的推动者 从“靠天吃饭”迈向“靠数生长”
Shen Zhen Shang Bao· 2025-09-11 23:02
Core Viewpoint - Shenzhen is leveraging the opportunities presented by the new agricultural technology revolution to develop a high-tech agricultural industry, contributing to the modernization of agriculture and rural areas in China [1] Group 1: Agricultural Technology Development - Shenzhen is promoting the integration of technology and economy in agriculture, aiming to create a high ground for agricultural technology [1] - The "AI + Smart Agriculture" initiative is a key focus for 2025, with companies like Fengnong Holdings leading the way in agricultural internet and digitalization trends [2][3] - Fengnong Holdings has developed a comprehensive ecosystem that includes products, services, technology, talent, and capital to address industry pain points through standardization and digitalization [2] Group 2: AI Integration in Agriculture - Fengnong Holdings has launched a series of AI products aimed at addressing pain points across the agricultural value chain, including smart breeding, farm management, and marketing [3] - The company emphasizes the transition from traditional farming methods to a "smart management" model, integrating various disciplines and fields [3] Group 3: Investment and Capital Support - Fengnong Holdings has established a dual-driven system of "incubation + investment" to tackle financing challenges in agricultural technology, with the "Jiazi Qihang" fund investing in over 40 companies across various agricultural sectors [4] - The company is actively participating in projects related to planting and processing, as well as engaging with mainstream funds for further investment opportunities [4] Group 4: Government Support and Market Environment - Shenzhen's strong technological advantages, vibrant market, and active capital environment are conducive to the development of smart agriculture [5] - The establishment of the Guangdong Province (Shenzhen) Smart Agricultural Service Industrial Park is a significant step in enhancing the level of agricultural digitalization in Shenzhen and nationwide [6] Group 5: Future Outlook - The next decade in Chinese agriculture is expected to be driven by technology, with Fengnong Holdings committed to continuous innovation in the "AI + Agriculture" sector [6]
AI与数智技术赋能发展,丰农控股数智生态科技大会在深举行
Nan Fang Du Shi Bao· 2025-06-23 02:27
Core Insights - The "AI FOR AGTECH2025" conference held by Fengnong Holdings in Shenzhen showcased innovative achievements in smart agriculture and launched a collaborative plan for a smart agricultural ecosystem [1][2] - Fengnong Holdings introduced five major AI products aimed at transforming traditional agriculture into a smart management model, enhancing productivity through digitalization [1][2] Group 1: AI Product Offerings - The five AI products include: 1. Fengnong Smart Seed Industry: Digital integration of breeding processes through DGR germplasm resource database [2] 2. Fengnong Smart Farm: Features AI models for precise fertilization and irrigation, capable of issuing agricultural instructions and predicting growth risks [2] 3. Fengnong Smart Brain: An agricultural AI model providing pest identification and agricultural Q&A services, with future plans for dialect interaction [2] 4. Fengnong Smart Chain: A platform promoting a shift from experience-driven to data-driven agriculture [2] 5. Fengnong F2C Smart Marketing: Assists agricultural enterprises in building private domain operation systems for user asset retention [2] Group 2: Collaborative Initiatives - To address the challenges faced by agricultural enterprises, Fengnong Holdings launched two major initiatives: 1. "Fengchuang Star": Provides traffic support for the first 10,000 agricultural experts, aiming to create a knowledge community with a scale of hundreds of millions [2] 2. "Fengyi Cloud Enterprise": Aims to empower 100 agricultural enterprises digitally over three years through consulting and training services, fostering a collaborative innovation platform [2] Group 3: Industry Outlook - The next decade in Chinese agriculture is anticipated to be a golden era driven by technology, marking a significant transition from merely providing resources to co-building sustainable agricultural ecosystems [2]
丰农控股用AI与数智技术为现代农业解题,发布5大产品矩阵与2大生态计划
3 6 Ke· 2025-06-22 02:45
Core Insights - Fengnong Holdings launched its AI-driven agricultural digital ecosystem at the "AI FOR AGTECH 2025" conference, marking its transition to a professional agricultural digital service platform aimed at modernizing agriculture in China [1] Group 1: Company Development and Strategy - Fengnong Holdings has evolved over 11 years from agricultural e-commerce to a comprehensive ecosystem that includes product, service, technology, talent, and capital, addressing industry pain points through standardization and digitalization [4] - The company identified a significant demand for personalized agricultural technology services and developed a dual-track service upgrade, combining online and offline support for large-scale farm owners [5] - Fengnong Holdings established the "Jiazi Qihang" fund in 2017, investing in over 40 companies in the biological agriculture and smart equipment sectors, aiming to support agricultural scientists and entrepreneurs [5] Group 2: Educational Initiatives - The company has partnered with local governments to create online training academies for farmers, fostering leadership in rural revitalization [6] - In 2024, Fengnong Holdings plans to offer lifestyle courses to urban populations, integrating agriculture into daily life [6] Group 3: Technological Innovations - Fengnong Holdings introduced a comprehensive agricultural AI ecosystem, integrating IoT, blockchain, and AI predictive models to enhance the entire agricultural value chain [7] - The company launched initiatives like "Fengchuang Panxing" and "Fengyi Yunqi" to assist traditional agricultural enterprises in their digital transformation [8] - The founder emphasized that the next decade in Chinese agriculture will be driven by technology, indicating a shift towards a more intelligent operational model [8]