Core Viewpoint - The construction of high-standard farmland is crucial for enhancing agricultural productivity and ensuring food security in China, with the Heilongjiang North China Group's initiatives serving as a model for effective implementation and management [1][12]. Group 1: High-Standard Farmland Construction - Heilongjiang Province has built nearly 120 million acres of high-standard farmland by 2024, ranking first in the country, contributing to a total grain output of 1600.34 billion jin, which accounts for 11.3% of the national grain production [1]. - The North China Group has completed 31.38 million acres of high-standard farmland, representing 68.98% of its permanent basic farmland area, with a planned investment of 2.402 billion yuan for 1.01 million acres in 2024 [2]. - The construction approach includes transforming fragmented fields into standardized plots, improving irrigation systems, and enhancing accessibility for agricultural machinery, leading to increased effective planting area and yield [2][4]. Group 2: Management and Maintenance - The North China Group emphasizes the importance of both construction and management, establishing a leadership team and implementing a series of regulatory documents to ensure project success [3][11]. - A management mechanism has been established to ensure that every acre of high-standard farmland is effectively maintained, with dedicated personnel assigned for regular inspections and maintenance [10][11]. - The implementation of a grid management system allows for clear responsibilities and regular monitoring of farmland facilities, ensuring that maintenance is conducted efficiently and effectively [11]. Group 3: Technological Integration - The integration of smart agricultural technologies, such as IoT devices and automated irrigation systems, has significantly improved the efficiency of water management and crop monitoring [5][8]. - The North China Group has developed a digital platform that provides real-time data on soil conditions, weather forecasts, and crop health, facilitating data-driven decision-making for farmers [8][9]. - The use of advanced technologies has transformed traditional farming practices, allowing for more precise and efficient agricultural operations, ultimately leading to higher yields and reduced labor costs [6][7].

Core Viewpoint - The China-ASEAN Agricultural and Poverty Alleviation Cooperation Conference aims to enhance regional agricultural cooperation and poverty alleviation through dialogue and collaboration among various stakeholders [1][3]. Group 1: Conference Objectives and Themes - The conference focuses on "Smart Agriculture and Poverty Alleviation Cooperation, Hand in Hand to Develop New Quality Productivity" [3]. - Representatives from China, Brunei, Cambodia, Myanmar, and other countries, along with experts and business representatives, engage in discussions on smart agricultural technology innovation, poverty alleviation models, resource optimization, and the development of new quality productivity [3]. Group 2: Achievements and Future Directions - Agricultural cooperation between Guangxi and ASEAN countries has a long history, with recent years seeing an expansion in cooperation areas and methods, resulting in significant achievements [3]. - The total import and export volume of agricultural products between Guangxi and ASEAN countries is projected to reach 30.29 billion yuan in 2024, a 56.5% increase compared to 2018 [3]. Group 3: Strategic Initiatives - Guangxi is leveraging national artificial intelligence initiatives to build a development path that integrates research and development from major cities with applications in ASEAN, aiming to enhance agricultural trade and investment [3]. - The conference advocates for a new framework for smart agricultural cooperation and the establishment of a digital technology collaborative innovation system [5]. Group 4: Key Collaborations and Projects - Four significant cooperation projects were established, including cross-border animal disease prevention and smart agriculture technology collaboration with Laos [5]. - Guangxi Agricultural Vocational and Technical University signed a cooperation agreement with relevant enterprises in Laos to promote various aspects of agricultural technology and education [5]. Group 5: Exhibition and Promotion - The conference featured the first "AI + Agriculture" exhibition area, showcasing advanced technologies such as smart agricultural machinery and agricultural big data platforms [5]. - Over 100 agricultural enterprises from Guangxi participated in the exhibition, promoting local specialty products like Liubao tea and dragon fruit, thereby expanding cooperation in agricultural technology and trade with ASEAN [5].

Core Insights - The article highlights the efficiency and effectiveness of smart agriculture in tomato harvesting and transportation, showcasing a system that integrates technology for improved productivity and quality control [1][2]. Group 1: Smart Greenhouse Operations - The smart greenhouse spans 55 acres and cultivates approximately 71,000 tomato plants, utilizing sensors and big data to monitor fruit ripeness and create a "ripeness map" for precise harvesting [2]. - The system has achieved a product qualification rate exceeding 98%, with a 40% increase in single-plant yield and a 50% boost in labor efficiency, while post-harvest loss rates have been reduced to 5% [2]. Group 2: Transportation Efficiency - The dedicated transport route for the harvesting vehicle is designed to minimize loss, featuring a non-slip surface and optimized curves and slopes for stable travel [6]. - The internal damage rate during transport is below 2%, a 15 percentage point improvement over traditional methods, with the vehicle capable of making 15 trips per day, transporting up to 9,000 pounds, and achieving a 60% efficiency increase compared to manual labor [6]. Group 3: Loading and Market Readiness - Upon arrival at the loading area, workers follow strict layering and weight control standards, ensuring each truck is loaded with a maximum of 600 pounds, with monitoring throughout the loading process for traceability [9]. - Tomatoes are shipped within 12 hours of harvesting, with an average daily shipment of 2,000 pounds, exceeding 5,000 pounds during peak seasons, covering 13 cities [10]. Group 4: Quality Control and Customer Satisfaction - The smart system continuously adjusts temperature, humidity, light, and nutrient levels, stabilizing the average weight of each tomato at 14 grams and sugar content above 9° Brix, ensuring uniform quality [12]. - Customer satisfaction and repurchase rates for the tomatoes exceed 80%, demonstrating the system's effectiveness in scaling and modernizing facility agriculture [12].

Group 1 - The core viewpoint of the articles emphasizes the acceleration of digital transformation in agriculture through the implementation of artificial intelligence technologies, which injects new vitality into traditional agriculture [1][5] - The integration of emerging technologies with traditional agriculture is crucial for promoting the application of AI in breeding, planting, and breeding processes, aiming for a platform-based and intelligent agricultural development [2][5] - Significant technological achievements have been made in smart agriculture, with AI-enabled innovations covering the entire agricultural production process, leading to substantial cost savings and increased yield [3][5] Group 2 - Companies should strategically plan their intellectual property (IP) to align algorithm innovations with specific agricultural applications, actively applying for patents and protecting core technologies [4] - Industry organizations are encouraged to accelerate the establishment of technical standards for smart agriculture and enhance the competitive edge of domestic enterprises in international markets through standard essential patents [5] - The development of smart agriculture is expected to trend towards comprehensive, collaborative, and widespread adoption, with AI technologies covering the entire agricultural chain from breeding to traceability [5]

近年来，我国持续推动物联网、人工智能、云计算、大数据等新一代信息技术与种植业、畜牧业、渔业 等深度融合，农业数字化进程明显加快。数据显示，2024年我国农业科技进步贡献率超63%，农业生产 信息化率接近30%，现代设施农业种植面积达4000万亩。截至今年1月，农业农村部累计支持建设国家 数字农业创新中心、分中心34个，智慧农业创新应用项目116项。数字技术的广泛运用，为传统农业转 型升级注入新动能。 政策层面，党中央、国务院先后出台《数字农业农村发展规划（2019—2025年）》《数字乡村发展行动 计划（2022—2025年）》《"十四五"数字农业建设规划》等文件，作出"实施大数据战略和数字乡村战 略""大力推进'互联网+'现代农业"等部署安排，明确"以数字技术与农业农村经济深度融合为主攻方 向""加强数字生产能力建设"等重点任务，为"数字+"现代农业产业体系构建提供了制度保障。 不过，当前农业数字化转型仍面临一些亟待解决的问题。基础设施尚不完善，技术与产业融合深度不 足，高素质人才缺乏等问题，导致部分数字农业产业投入高、周期长、转化率低，高端科技成果供给与 应用不足。对此，还需产业政策、企业主体与消费者三方 ...

Core Insights - 麦麦科技集团 has completed over 100 million yuan in Pre-A financing, achieving a post-investment valuation exceeding 1 billion yuan, with the funds primarily allocated for the development of AI agricultural models and smart sensing devices [1][2] - The company is recognized as the largest early-stage financing in the smart agriculture sector recently, focusing on transforming traditional agriculture through technology and data [2] Company Overview - 麦麦科技 operates on a business model centered around "technology + consumption," utilizing data, algorithms, and scenarios to enhance agricultural production through IoT, AI, cloud computing, and blockchain technologies [2] - The founder, 李楠, was motivated to enter the agricultural sector due to the technological lag in agriculture compared to other industries and the aging farming population [2] Business Model Evolution - Since its inception in 2018, 麦麦科技 has evolved from being an "agricultural technology solution integrator" to a company that not only provides technical capabilities but also facilitates production and sales connections [3] - The company has established a comprehensive crop growth model system covering "description, diagnosis, prediction, and decision-making," which enhances key aspects of agricultural management [3] Technological Development - 麦麦科技 has developed a "crop model" that focuses on specific agricultural scenarios, resulting in nearly 1,000 vertical scene models across 15 major categories and over 200 subcategories [4] - The company has implemented a smart agriculture big data platform that integrates IoT, AI, big data, satellite remote sensing, and blockchain technologies to support the entire agricultural supply chain [3] Case Studies - A case study involving a citrus grower in Hubei demonstrated significant improvements in fruit quality and market access through the application of 麦麦科技's models, reducing defects and increasing fruit size and sweetness [4] - Another example with a blueberry model in Yunnan showed a 30% increase in yield through comprehensive environmental modeling [5] - The strawberry growth model led to a 10% reduction in growth cycle and a 20% increase in yield by optimizing environmental parameters [6] Research and Development - 麦麦科技 has established two core R&D institutions, focusing on hard technology and agricultural research, with a team of 270 professionals and over 120 patents related to smart agriculture [6] - The company has collaborated with over 170 Fortune 500 clients and participated in the development of more than 70 modern digital farms, achieving a total production capacity exceeding 100 billion yuan [6] Financial Performance and Future Plans - The company has reported positive net profits for six consecutive years, with revenue growth consistently above 200% [7] - 麦麦科技 has initiated plans for Series A financing and aims for an IPO by 2027, with a strategy focused on technology-driven exponential growth in revenue and profits [7]

央视网消息：关注秋粮生产的最新进展。眼下正是秋粮生产的关键时期，玉米主产区抓住最后的窗口期，落实落细各项增产措施，助力秋 粮丰产丰收。 在山东省德州市，856.5万亩玉米正值灌浆期，是增粒重、提单产的关键时期。当地种粮大户李冬正在农技专家指导下对400多亩玉米进行 收获前最后一次的"一喷多促"飞防作业，2个多小时完成喷洒任务。 推广新品种 水稻主产区提品质增产量 水稻是秋粮另一个主要品种，在南方和东北主产区，当地通过推广新品种提升水稻品质和产量。 在江西萍乡麻山镇的百亩水稻种植基地，种粮大户杨德清种植的晚稻正处于抽穗扬花期。这两天正在通过无人机抓紧喷施药肥，再过一个 月左右，他种植的新品种水稻即将迎来收获。 杨德清种植的水稻新品种，是今年当地推广的优质水稻新品种之一，主要特点就是优质、抗倒伏、抗病性强，并且更适配江西的气候和土 壤条件。 近年来，江西持续加大水稻新品种研发和推广力度，目前，江西全省优质稻品种年推广面积超过1800万亩，覆盖南昌、宜春、吉安等主要 产粮区。在另外一个主要水稻产区黑龙江省佳木斯市，当地通过和科研机构合作、引进去年新育成的高产抗倒水稻新品种进行增产。 李冬说，他在玉米田块设置的虫情监 ...

Core Insights - The article highlights the development of the South Fruit Pear industry in Haicheng, Liaoning, aiming to establish it as the "World Capital of South Fruit Pear" by 2027, focusing on large-scale, standardized, and industrialized production [2][10] - Haicheng has built a complete industrial chain from planting to deep processing, collaborating with universities and companies to enhance the quality and efficiency of the South Fruit Pear industry [1][3] Industry Overview - Haicheng is recognized as the leading producer of South Fruit Pears in China, with a planting area of 280,000 acres and an expected production of 250,000 tons this year, generating an estimated output value of 1.5 billion yuan [3][10] - The city has around 60,000 households engaged in South Fruit Pear production, with over 50 companies involved in related industries, including storage, processing, and sales [3][4] Production and Sales - The expected production for the year is between 7 million to 7.5 million pounds for major companies, with over 50% of sales conducted through online channels [3][4] - The overall sales volume for the cooperative is projected to exceed 2 million pounds, with peak monthly sales reaching 100,000 orders [3] Deep Processing and Value Addition - The article discusses the importance of deep processing in extending the agricultural value chain, with companies like Haicheng Zhujia Oriental Brandy Co. producing award-winning South Fruit Pear brandy [4][5] - Other products being developed include South Fruit Pear fruit preserves and teas, with a focus on increasing production capacity to meet market demand [5][6] Technological Advancements - The city is transitioning from traditional agriculture to smart agriculture, leveraging partnerships with universities for research and development in planting techniques, product branding, and industry upgrades [7][8] - The establishment of a gene bank and DNA tracing technology aims to enhance the quality and safety of South Fruit Pears, ensuring a competitive edge in the market [8] Future Goals and Strategies - Haicheng aims to improve standardization, brand development, and deepen processing capabilities while expanding domestic and international market shares [9][10] - The city plans to create a comprehensive information database for production and sales, enhancing traceability and quality assurance in the South Fruit Pear supply chain [10]

0:00 秋色初染，松花江畔，碧波轻抚堤岸，夕阳为松浦大桥镀上一层金晖。 水波荡漾间，松花江沿岸的百年历史风貌与现代都市景致交相融合，以这条江为轴线，江两岸产业兴、生态 美、万物生的鲜活图景，正沿着广袤的黑龙江大地舒展铺陈。 松花江畔。人民网 徐成龙摄 "十四五"以来，黑龙江省持续提升粮食综合生产能力。2024年，全省粮食总产量达到1600.34亿斤，创历史新 高，连续15年位居全国第一，粮食总产量和增量均居全国首位。 全省新建重点文旅项目400多个，累计完成投资720亿元。2024年，全省接待游客量2.8亿人次、游客总花费 3701.2亿元，同比分别增长29.1%、67.1%。 踏上观景台，只见先进的自动遥感无人机方舱及地面监测设备已经投入运行，无人机的自动巡航监测结合风 云卫星遥感数据系统，形成了"卫星宏观监测、无人机中观巡护、地面仪器精准采集"的"空—天—地"三维立体农 情监测体系，为这片孕育中的稻海注入了科技的"生命力"。 "近年来，富锦市大力发展农业新质生产力，推动卫星遥感与农业的深度融合。未来，我们将持续促进科技攻 关与产业应用协同，为农业插上'科技的翅膀'。"富锦市委副书记、市长赵尉凯介绍。 当 ...

Core Insights - The core viewpoint of the article emphasizes the transformation of agriculture towards industrialization through smart agricultural technologies, with data becoming a key production factor [1][2]. Company Overview - Jifei Technology, founded by Gong Yaqin, started with drone technology and has expanded into the smart agriculture sector, offering products like agricultural drones and unmanned vehicles [1]. - The company is transitioning from equipment sales to becoming a "smart farm service provider" [1]. Industry Trends - Three major trends in smart agriculture are identified: 1. The global proliferation of small intelligent agricultural machinery to meet decentralized and precise farming needs [2]. 2. The gradual industrialization of the agricultural sector, leading to the integration of supply chains from agricultural inputs to products [2]. 3. The increasing importance of data as a production factor due to the rise of AI technology, smart farms, and digital farmers [2]. Global Market Potential - The global smart agriculture market was valued at $14.588 billion in 2021, with hardware systems accounting for 72% of the market. It is projected to reach $34.102 billion by 2026, with a compound annual growth rate (CAGR) of 18.5% from 2021 to 2026 [3]. - Jifei Technology has expanded its products and services to over 70 countries since 2019, addressing similar agricultural challenges worldwide, such as labor shortages and rising costs [3]. Policy Support - The Chinese government has introduced various policies to encourage the development and innovation of the smart agriculture sector, including the "National Smart Agriculture Action Plan (2024-2028)" [4]. - The plan aims for an agricultural production informationization rate of over 30% by the end of 2026 and over 32% by the end of 2028 [5].