Design of Green Agriculture System Using Internet of Things and Image Processing Techniques

H. Tran, H. Ngo, T. Nguyen, Hung Nguyen
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引用次数: 13

Abstract

Recent years, farming issue is one of the important problems and need to be considered. To handle this issue, it is so essential that we need figure out solutions to assure the growth of crops effectively. In this paper, we propose the new solution to plant automatically and monitor remotely. Firstly, the model of plantation is described in depth. Then, CPU plays a central role to handle the irrigation and aftercare the whole system. It is implemented several sensors and actuators to manipulate the environmental farm. The system parameters are updated in cloud frequently. Furthermore, all of plantations is supervised by digital cameras. The host PC will analyze the image to predict the process of development in agriculture. Therefore, via Internet of Things (IoT) and image processing technology, farmers are able to estimate the best harvesting time and assure the mass production of food.
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基于物联网和图像处理技术的绿色农业系统设计
近年来,农业问题是一个重要的问题,需要考虑。为了解决这个问题,我们必须找到有效保证作物生长的方法。本文提出了一种自动化生产和远程监控的新方案。首先,对人工林模型进行了深入的描述。然后,CPU发挥核心作用,处理灌溉和整个系统的后续护理。它实现了几个传感器和执行器来操纵环境农场。系统参数在云中更新频繁。此外,所有的种植园都有数码相机监控。上位机对图像进行分析,预测农业发展进程。因此,通过物联网(IoT)和图像处理技术,农民能够估计最佳收获时间,并确保粮食的大规模生产。
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