Title :
Research on the monitoring system of wheat diseases, pests and weeds based on IOT
Author :
Shufen Zhang ; Xuebin Chen ; Shi Wang
Author_Institution :
Coll. of Sci., Hebei United Univ., Tangshan, China
Abstract :
Setting up observation points and combining artificial occasional surveys is the traditional diagnosis and prevention of wheat diseases, pests and weeds, which cannot monitor and control the diseases, pests and weeds in real time. To this, the paper put forward introducing the Internet of things in the monitoring process of wheat diseases, pests and weeds, and building intelligent monitor system of wheat diseases, pests and weeds based on IOT. The system uses ZigBee network to connect the terminal sensing devices, and connect the big data platform by IOT. The system will use a large amount of data collected by IOT terminal to build a big data platform, and build intelligent warning system of wheat diseases, pest and weeds based on the platform. The users can monitor what is happening to the wheat using PC or hand-held terminal. The practice shows that the system has a very good application value.
Keywords :
Internet of Things; Zigbee; agricultural engineering; condition monitoring; crops; pest control; plant diseases; Internet of things; ZigBee network; lOT; pests; weeds; wheat disease prevention; wheat diseases monitoring; Buildings; Computers; Monitoring; Switches; Wireless communication; Wireless sensor networks; Internet of Things (IOT); sensing recognition; wheat diseases pests and weeds;
Conference_Titel :
Computer Science & Education (ICCSE), 2014 9th International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4799-2949-8
DOI :
10.1109/ICCSE.2014.6926609