IoT networks are being used to collect, analyze, and utilize sensor data. There are still some key requirements to leverage IoT networks in digital agriculture, e.g., design and deployment of energy saving and ruggedized sensor nodes (SN), reliable and long-range wireless network connectivity, end-to-end data collection pipelines for batch and streaming data. Thus, we introduce our living lab ORPHEUS and its design and implementation trajectory to showcase our orchestrated testbed of IoT sensors, data connectivity, database orchestration, and visualization dashboard. We deploy light-weight energy saving SNs in the field to collect data, using LoRa (Long Range wireless) to transmit data from the SNs to the Gateway node, upload all the data to the database server, and finally visualize the data. For future exploration, we also built a testbed of embedded devices using four different variants of NVIDIA Jetson development modules (Nano, TX2, Xavier NX, AGX Xavier) to benchmark the potential upgrade choices for SNs in ORPHEUS. Based on our deployment in multiple farms in a 3-county region around Purdue University, and on the Purdue University campus, we present analyses from our living lab deployment and additional components of the next-generation IoT farm.
翻译:正在利用IoT网络收集、分析和利用传感器数据。在数字农业中,仍然有一些利用IoT网络的关键要求,例如设计和部署节能和坚固的传感器节点(SN)、可靠和长距离无线网络连接、分批和流数据端到端的数据收集管道。因此,我们介绍活实验室ORPHEUS及其设计和执行轨迹,展示我们精心设计的IoT传感器测试台、数据连接、数据库调控和可视化仪表。我们在实地部署轻量级节能节能网络收集数据,利用LoRa(远程无线)将节能和坚固的传感器数据传送到网点,将所有数据上传到数据库服务器,并最终将数据直观化。为了今后的探索,我们还利用NVVIDIA Jetson 开发模块(Nano、TX2、Xavier NX、AGXXX Xavier)的四种不同变体模型,建立了一个嵌入式装置的测试台,用来衡量ORPHEUS的潜在升级选择。根据我们在大学第3号实验室区域部署后,根据我们的第3号实验室,对目前新版的校区进行了相应的分析。