自 2005 年国际电信联盟（ITU）发布《ITU 互联网报告 2005:物联网》，系统展示"物联网（Internet of Things）"概念以来，物联网产业已经走过 20 年的历程。 二十年间，物联网的概念不断拓展、内涵不断丰富，从 IoT 进化成智联网 AIoT；也是在这二十年间， 数百亿的连接设备逐渐遍布全球每一个角落。根据 Statista 预测，到 2030 年，全球将部署超过 290 亿个 物联设备，它们正源源不断地向云端发送数据，构建一个数字与现实紧密融合的世界。 不过，突然有一天，这些设备停了下来，不是因为被破坏、不是因为断电，而是因为固件的终止、协议 的失效、认证的过期、网络的迭代等等……换言之，这些互联设备在物理层面依旧存在，但却在数字世 界中逐渐"游离"，变成无声无息的"数字孤岛"。这些被遗弃的基础设施不仅带来不便，甚至沦为新 式"电子垃圾"。 在肯尼亚，部署于多个农村郡县的智能水表大规模失效，原因并非破坏或需求不足，而是供应商撤回了 支持——固件更新并未如期而至。当地技术人员无法获得诊断工具，原本旨在普及用水权的项目，最终 变成了催生维护合同和滋生不信任的源头。 类似的故事在前几年 ...

来源：环球时报 而且，印尼智慧农业技术需求主要集中于具备规模经济的大型农场，精准农业试点多分布于大型农业运 营商，小农户面临较高准入门槛。资金约束与信贷获取困难，成为印尼小农户采用智慧农业硬件的主要 障碍，多数小农户拥有的土地规模有限、资金匮乏，难以承担AI硬件、物联网传感器及智能无人机等 产品的高昂成本，且因缺乏抵押物与稳定收入来源，这些小农户难以从金融机构获得贷款。 人才短缺同样制约印尼智慧农业的发展。智慧农业设备的操作需要从业者掌握物联网平台的软硬件及通 信组件知识，但印尼在农业与科技融合领域的人才培养方面相对滞后，具备技术应用能力的农业从业者 数量有限。据通信和数字部部长哈菲德透露，至2030年，印尼数字专业人员的缺口预计将达到900万。 这些发展痛点为中印尼在农业及AI领域的合作提供了发力方向。通过AI国际合作推动全球南方国家基 础民生产业的智能化转型，在实践中探索并建立一套行之有效的范式，亦是当前学术研究的一个重点课 题。总体而言，未来中印尼农业合作可着重评估新质生产力融合的可行性，推动前沿科技与基础民生行 业在两国间实现深度融合，让更多民众从中受益。（作者是Diinsider联合创始人、北京大学 ...

Core Insights - The integration of IoT sensors and cloud data platforms allows real-time monitoring of asset performance, energy consumption, and space utilization, significantly reducing maintenance costs and energy alerts [1] - The implementation of smart systems in commercial real estate enhances operational efficiency, automates processes, and improves decision-making through data-driven insights [4][5][10] Monitoring Phase - During the construction phase, the use of BIM models and RFID tags improves acceptance rates by 40% [2] - In the operational phase, vibration sensors and AI analysis reduce downtime by 65% [2] - Predictive maintenance using machine learning optimizes spare parts inventory by 30% [2] - Blockchain technology enhances residual value assessment, increasing disposal premiums by 18% [2] Digital Contract Management - Digital management through electronic contract systems streamlines the entire process, reducing approval times from an average of 3 days to under 2 hours [4] - The use of smart templates allows for quick adaptation to various business needs, ensuring legal validity and real-time tracking of contract modifications [4] Financial Automation - The introduction of automated systems for rent billing and expense allocation reduces processing time from 5 days to 2 hours, minimizing human error [5] - Automated platforms for deposit management support bulk operations and reminders, significantly reducing repetitive tasks by 70% [5] Intelligent Approval Processes - Automated approval processes streamline contract management, reducing manual handling time from 3-5 days to under 2 hours [6] - The system can trigger risk assessments and synchronize with legal and financial departments, ensuring efficient contract processing [6] 3D Spatial Positioning Technology - 3D modeling technology provides real-time asset status visibility, improving maintenance response times and optimizing space utilization [8] - This technology enhances tenant decision-making by offering visual insights into office layouts and parking distributions [8] Tagging and Classification Management - Dynamic tagging systems improve asset maintenance response times by 40% and enable strategic adjustments based on usage data [9] - The system can automatically flag underutilized spaces, prompting adjustments in leasing strategies [9] Precision Operations - Dynamic dashboards allow for real-time tracking of key metrics, leading to significant cost savings and improved tenant satisfaction [10] - The use of data analytics helps identify underperforming assets and optimize operational strategies [10] Revenue Optimization Strategies - Successful case studies show that data analysis can lead to increased revenue through strategic adjustments in asset utilization [11] - Dynamic pricing strategies can enhance profitability by adjusting rates based on seasonal demand [11]

Core Insights - The article highlights the impact of drought conditions on wheat and peach crops in Jiangsu province, emphasizing the need for effective irrigation strategies to mitigate the effects of insufficient rainfall [1][2][3] Group 1: Drought Conditions and Agricultural Impact - The average temperature in Jiangsu province reached a record high for April, while precipitation was 40% below normal, leading to significant drought stress on crops [1] - Over 4 million acres of wheat are currently affected by drought, coinciding with critical growth stages for the crop [2] - Soil moisture levels are a concern for peach farmers, who are advised to use drip irrigation to ensure adequate water supply without overwatering [2] Group 2: Innovative Irrigation Solutions - A "空—地" (air-ground) collaborative smart irrigation system has been developed, utilizing drones and IoT sensors to monitor crop health and soil moisture in real-time [3] - This system allows for data-driven irrigation decisions, improving water use efficiency by 30% to 50% compared to traditional methods [3] Group 3: Research and Development in Drought Resistance - Research teams at Yangzhou University are working on breeding drought-resistant crop varieties, with a focus on maize root systems [4][5] - The use of gene editing technology is expected to lead to the development of drought-resistant varieties within 7 to 10 years, contributing to global food security [5]