物联网在水稻区域试验信息采集中的应用研究

农作物新品种区域试验是在多个地点种植,评价品种的特征特性,为品种审定提供重要的科学依据。区域试验过程中存在若干问题,会对试验质量造成影响。水稻是我国最主要的粮食作物,每年的参试品种数量庞大,增加了工作量,区域试验所面临的问题更为明显。为此,以物联网为基础,建立了水稻区域试验的信息采集系统。系统的信息感知层收集气象、环境及水稻生长信息后通过网络传输层发送到信息管理层,分析之后为区域试验的农艺操作和结果判定提供依据。试验结果表明:系统采集的降雨量、土壤含水量和水稻抽穗期数据与实际接近,没有明显的差异;系统对水稻抽穗期的评估最为准确,可以代替人工操作,极大地减少区域试验工作量。

Application of Internet of Things in Rice Regional Test Information Collection

The regional experiment of new varieties of crops is to cultivate and evaluate the characteristics of varieties in many sites,and provide important scientific basis for variety validation. There are several problems in the process of regional testing,which will affect the quality of the test. Rice is the most important food crop in China. The number of varieties tested every year is huge,which increases the workload and the problems faced by regional trials are more obvious. Based on the Internet of Things,this paper establishes the information collection system of rice regional experiment.The information sensing layer of the system collects meteorology,environment and rice growth information and sends it to the information management layer through the network transmission layer. The analysis provides the basis for the agronomic operation and the result judgment of the regional experiment. In the validation experiment,the data collected from the system,the soil water content and the rice heading date were close to the actual,there was no significant difference. The evaluation of the heading date of rice is the most accurate,which can replace the manual operation and greatly reduce the regional test workload.