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An On-Line Monitoring System of Crop Growth in Greenhouse

机译:日光温室作物生长在线监测系统

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It is significant to estimate the growth of crops during their growth stages rapidly and non-destructively, the spectral analysis technology could satisfy the requirement and it is one of the important techniques to support in the precision agriculture management. In the article, a system was developed for estimating the growth of crops in greenhouse, which was based on spectrum and WSN (wireless sensor network) technology. The system consisted of three parts: the intelligent sensor nodes, intelligent gateway and the software in remote server. The ZigBee wireless communication modules were embedded in the intelligent sensor nodes and gateway to create WSN. The intelligent sensor nodes contained four optical channels, which allowed these instruments work at the wavelengths of 550, 650, 766 and 850 nm. They were used to collect spectral data and transmit to the intelligent gateway by ZigBee wireless network. The intelligent gateway worked as a coordinator of the whole wireless network waiting for sensor nodes to join in and receiving all the spectral data from sensor nodes, and transmitting the data to remote server by GPRS. The software in remote server analyzed the spectral data, calculated the NDVI (Normalized Difference Vegetation Index), by which, the growth of the plants can be detected effectively. In order to test the effectiveness and stability of the system, the strawberry of greenhouse was detected. Several experiments were carried out in the greenhouse of ZhuoZhou Experiment Station in Hebei. Results showed that the canopy spectral data of strawberries could be acquired by the intelligent sensor nodes stably, and the intelligent gateway could connect the sensor nodes and the remote server effectively. The spectral data can be received by the remote server normally as well. The system provides a kind of technical support and theoretical basis for crop growth estimation in greenhouse.
机译:快速,无损地估算作物生长过程中的作物生长具有重要意义,光谱分析技术能够满足要求,是支持精准农业管理的重要技术之一。在本文中,开发了一种用于估计温室中作物生长的系统,该系统基于频谱和WSN(无线传感器网络)技术。该系统由三部分组成:智能传感器节点,智能网关和远程服务器中的软件。 ZigBee无线通信模块被嵌入到智能传感器节点和网关中以创建WSN。智能传感器节点包含四个光学通道,这使这些仪器可以在550、650、766和850 nm的波长下工作。它们被用来收集光谱数据并通过ZigBee无线网络传输到智能网关。智能网关充当整个无线网络的协调器,等待传感器节点加入并从传感器节点接收所有光谱数据,然后通过GPRS将数据传输到远程服务器。远程服务器中的软件分析了光谱数据,计算了NDVI(归一化植被指数),从而可以有效地检测植物的生长。为了测试系统的有效性和稳定性,检测了温室草莓。在河北Zhu州实验站的温室中进行了几次实验。结果表明,智能传感器节点可以稳定地采集草莓冠层光谱数据,智能网关可以有效地连接传感器节点和远程服务器。光谱数据也可以由远程服务器正常接收。该系统为温室大棚作物生长估算提供了技术支持和理论依据。

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