| This dissertation takes IoT technology as the core,combining with sensors,telecommunication,Internet and other technical means,to design and implement a set of field agricultural IoT monitoring system.In addition,this dissertation also proposes a verification scheme for cross-validation of surface temperature data and ASTER data in Huaihe River Basin,and conducts experiments with the above monitoring system.The main content of the dissertation includes:(1)Firstly,it did a survey on the actual situation of field agriculture,analyzed the difficulties in agricultural management in field and formulated the requirements for the field agriculture network monitoring system.Then,it defined seven functional modules:real-time status display,data statistical analysis,data query and download,user management,monitoring point configuration,crawler,and external interface.(2)Aiming at the actual demand,it made overall design plan for the platform construction of the field agricultural IoT monitoring system,and established the 4 tier architecture,including perception layer,transport layer,fusion layer and application layer.(3)It specifically designed and implemented the field agriculture IoT monitoring system.The system includes collecting a variety of field data by various types of sensors,transmitting data by 433MHz communication and GPRS communication networks,using Java Netty framework and MySQL database for data transmission,analysis,storage and filtering,using PHP and jQuery EasyUI technology to develop data management platform.(4)It proposed an ASTER temperature data verification scheme based on IoT,and used the above monitoring system to conduct experiments to verify the ASTER data in Huaihe River Basin.Verifying the accuracy of surface temperature remote sensing products by directly measuring surface temperature is very difficult.Because there are huge scale differences between the satellite pixels and the direct measurement of the ground.Besides,types of ground covering are various and the temperature difference between different coverings is large.In this dissertation,we firstly divided the experimental area according to the covering type,then measured the temperature and set the weight separately,finally calculated the total temperature of the land surface including various types of covering,and had cross validation with the corresponding remote sensing temperature.The experimental work of the field agricultural IoT monitoring system and the verification experiment of ASTER data correctness were carried out in Longkang farm,Huaiyuan County,Anhui province.The actual operation results show that,the system can accurately collect the required environmental parameters,such as soil temperature and humidity.And the system can operate stably for a long time,so we achieve the desired goal.Experimental results show that the accuracy of ASTER data verification is within 2K. |
