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所在平台: Udemy |
课程主页: https://www.udemy.com/course/iot-enabled-aeroponics-using-raspberry-pi-3/
课程评论：没有评论
**课程名称：** 基于树莓派3的物联网气雾栽培系统 **课程概述：** 本课程是一门面向初学者的进阶课程，专注于利用新发布的树莓派3构建物联网（IoT）支持的气雾栽培系统。课程适合那些希望探索树莓派在农业领域应用的学习者，并将帮助您将现有的编程技能提升到新的水平。 课程包含两个主要项目： 1. **流量传感器编程：** 您将学习如何对流量传感器进行编程，精确测量一定量的液体或气体，这对于日度消耗量统计的项目非常有用。 2. **LCD屏幕动态数据展示：** 接着，您将学习如何编程小型LCD屏幕，以动态方式显示数据。 **核心项目：气雾栽培系统** * **系统构建：** 从零开始搭建气雾栽培系统，并使用树莓派进行远程控制。 * **物联网集成：** 将系统与物联网平台集成，实现对整个系统的远程操控。 * **仪表盘可视化：** 您将拥有一个仪表盘，能够通过图表、表格、仪表盘等形式可视化展示数据。 * **远程设备控制：** 通过仪表盘上的虚拟开关，可以远程控制喷雾设备（开启/关闭）。 **课程亮点：** * 这是一个结合了硬件组装和Python编程的有趣项目。 * 课程提供两个项目的完整源代码。 * 整个课程（包括硬件组装和编程）可在两周内完成。 * 学完本课程，您将深入了解气雾栽培系统及其在实际场景中的应用。
IOT enabled Aeroponics using Raspberry Pi 3 is an intermediate course on the newly launched Raspberry Pi 3. The course is ideal for those who want to explore the possibilities of Raspberry Pi in the field of agriculture. This course will take your intermediate coding skills to the next level. The course covers two projects. In the first project, you will learn how to program the flow sensor to measure exactly one or more litres of liquid or gas. This can be implemented in any project where you want to know the consumption day by day. Going forward you will learn how to program the small LCD screen and display the dynamic data. Once you are done with it, we will proceed to our major project Aeroponics system. In this, you will learn how to build the system from the ground up and control it remotely using the Raspberry Pi. You will also learn how to integrate with the IoT platform and control the entire system remotely. You will have a dashboard where you can visualize the data in the form of a graph, table, gauge meter, etc. Apart from that, you can also control the mist machine by turning ON and OFF through a virtual switch on your dashboard. This will be a fun project, and you will learn to program for Internet of Things. The course provides the complete source code of both the projects. The entire course can be completed over a fortnight, including the hardware assembly and coding in Python programming. By the end of this course, you will have enough knowledge about the Aeroponics system and how to implement in the real time scenario.
