Research on intelligent greenhouse environmental monitoring system
The Internet of things(IOT)technology is developing rapidly and plays an important role in agricultural fields.Traditional greenhouse should develop intelligently to emancipate the productive forces and increase benefits.Design of the intelligent greenhouse environmental monitoring system based on IOT,which uses JenNet protocol to form a wireless network,realizes real-time monitoring of environment factors,air temperature and humidity,soil temperature and moisture,light intensity and CO2 concentration,and remote control of rolling machines and irrigation equipments.Test results show that system network can operate with stability,high precision data,low node power,accurate feedback control,which meets the intelligent requirements of the greenhouse data acquisition and control.
In estimating the state of thrusting/ballistic endoatmospheric projectiles for the end purpose of impact point ::: prediction (IPP), the total observation time, the wind effect and the sensor accuracy significantly affect the IPP ::: performance. First the tracker accounting for the wind effect is presented. Following this, based on the multiple ::: interacting multiple model (MIMM) estimator developed recently, a sensitivity study of the IPP performance with ::: respect to the total observation time, the wind (strength and direction) and the sensor accuracy is presented.