【双语伴读】京东农场的人工智能农业实践

      当电商巨头把AI技术搬进农田，种地竟然变成了高科技行业！无人机巡田、AI防虫害、区块链溯源...京东这套农业黑科技，正在有效提高传统农民收入。一起来看看京东农场如何助力农业现代化！

注：第一部分为中文文章，第二部分为无注释英文

京东农场的人工智能农业实践

      作为中国电子商务行业的领军企业，京东集团正在实施多项战略，通过电子商务、智能物流和智慧农业来推动乡村振兴。京东农场是一项旨在用科技赋能农业发展的重要举措，在推动现代农业生产变革中发挥着关键作用。借助京东集团在大数据、物联网和人工智能方面的专业技术，京东农场正逐步推动农业向数字化和科技驱动型转变。该项目围绕“生态农业，健康餐桌”的理念展开，目标是在全国范围内建立现代农业基地。通过推广科学种植、标准化生产和高效运输，它力求打造一条高品质的农产品供应链。

1、精准农业

      精准农业是京东农场实现农业现代化努力的核心组成部分之一。通过整合遥感技术、气象数据和土壤监测，京东农场开发出了农田的数字化模型，实现了从种植到收获的精准管理。包括卫星和无人机在内的遥感技术可以拍摄农田的高分辨率图像，提供有关作物生长、土壤湿度和病虫害分布的实时数据。这些数据为农场管理决策提供了支持。气象数据结合天气预报和历史信息，有助于预测天气变化对作物生长的影响，使农民能够优化种植计划，减轻自然灾害带来的风险。此外，京东农场部署了土壤传感器，实时监测土壤湿度、温度和养分含量等关键参数，为精准施肥和灌溉提供了科学依据。利用数字化模型，京东农场采用智能机械进行精准种植、变量施肥和智能灌溉，最大限度地提高了资源利用率，减少了浪费，并促进了可持续农业实践。

2、智能管理

      京东农场部署了物联网设备和人工智能算法，实现了对作物生长环境的实时监测和智能管理。安装在田间的各种传感器收集温度、湿度、光照和二氧化碳浓度等数据。这些数据通过无线网络传输到云端，形成了农场的综合数据网络。京东农场利用机器学习和大数据分析对收集到的数据进行分析，以预测病虫害的爆发并跟踪作物生长趋势，为农民提供科学的决策支持。基于人工智能分析，京东农场开发了病虫害预警系统，使农民能够提前采取预防措施，减少损失。此外，通过智能控制系统，京东农场可以自动调节温室中的温度、湿度和光照水平，优化作物生长条件，提高农业生产的效率和稳定性。

3、高效运营

      京东农场利用区块链技术和智能物流系统，实现了从农场到餐桌的全程可追溯性和高效运营。区块链技术应用于种植、加工、运输和销售的各个阶段，记录每一步的信息，以确保数据的透明度和不可篡改性。消费者可以扫描二维码获取完整的产品信息，增强了对产品质量的信任。此外，京东农场利用京东广泛的物流网络和人工智能算法优化配送路线，确保产品能够快速送达消费者手中，并将运输过程中的损失降至最低。通过利用大数据分析市场需求，京东农场优化了库存管理和生产计划，降低了运营成本，提高了供应链效率。这使得京东农场能够为消费者提供新鲜、安全和高品质的产品，同时为农民带来更高的经济效益。

      通过将人工智能技术深度融入农业生产，京东农场不仅提高了生产效率和产品质量，还助力了农民增收，并推动了乡村振兴。未来，京东农场有望成为推进中国农业现代化的一支重要力量。

JD Farm’s AI agricultural practices

      As a leader in China’s e-commerce industry, JD Group is implementing multiple strategies to drive rural revitalization through e-commerce, smart logistics, and smart farming. JD Farm, an important initiative aimed at empowering agricultural development with technology, is playing a key role in transforming modern agricultural production. By leveraging JD Group’s expertise in big data, IoT, and AI, JD Farm is gradually driving the digital and technology-driven transformation of agriculture. The project is centered around the concept of "ecological agriculture, healthy dining," with the goal of establishing modern agricultural bases across the country. By promoting scientific planting, standardized production, and efficient transportation, it seeks to create a high-quality agricultural product supply chain.

1. Precision farming

      Precision farming is one of the core components of JD Farm’s efforts to modernize agriculture. By integrating remote sensing technology, weather data, and soil monitoring, JD Farm has developed a digital model of the farmland, enabling precise management from planting to harvest. Remote sensing technology, including satellites and drones, captures high-resolution images of the farmland, providing real-time data on crop growth, soil moisture, and pest distribution. This data supports farm management decisions. Weather data, combined with forecasts and historical information, helps predict the impact of weather changes on crop growth, enabling farmers to optimize planting plans and mitigate risks from natural disasters. Additionally, JD Farm deploys soil sensors to monitor key parameters such as moisture, temperature, and nutrient content in real time, providing a scientific basis for accurate fertilization and irrigation. Using the digital model, JD Farm employs smart machinery for precise planting, variable fertilization, and intelligent irrigation, maximizing resource use, reducing waste, and promoting sustainable agricultural practices.

2. Intelligent management

      JD Farm has deployed IoT devices and AI algorithms to enable real-time monitoring and intelligent management of crop growth environments. Various sensors installed in the fields collect data on temperature, humidity, light, and carbon dioxide levels. This data is transmitted via wireless networks to the cloud, forming a comprehensive data network for the farm. Using machine learning and big data analytics, JD Farm analyzes the collected data to predict pest and disease outbreaks and track crop growth trends, providing farmers with scientific decision-making support. Based on AI analysis, JD Farm has developed early warning systems for pests and diseases, allowing farmers to take preventive actions in advance and reduce losses. Additionally, through intelligent control systems, JD Farm can automatically adjust the temperature, humidity, and light levels in greenhouses, optimizing conditions for crop growth and improving the efficiency and stability of agricultural production.

3. Efficient operations

      JD Farm uses blockchain technology and intelligent logistics systems to enable full traceability and efficient operations from farm to table. Blockchain is applied across all stages of planting, processing, transportation, and sales, recording information at each step to ensure data transparency and immutability. Consumers can scan QR codes to access complete product information, enhancing trust in product quality. Additionally, JD Farm leverages JD’s extensive logistics network and AI algorithms to optimize delivery routes, ensuring that products reach consumers quickly and minimizing losses during transport. By analyzing market demand using big data, JD Farm optimizes inventory management and production planning, reducing operating costs and improving supply chain efficiency. This allows JD Farm to offer fresh, safe, and highquality products to consumers while generating higher economic benefits for farmers.

      By deeply integrating AI technology into agricultural production, JD Farm has not only improved production efficiency and product quality but also supported the increase of farmers’ income and promoted rural revitalization. In the future, JD Farm is expected to become a major force in advancing the modernization of Chinese agriculture.