Internet of Things greenhouse agricultural growth monitoring system

Abstract

The invention discloses an Internet of Things greenhouse agricultural growth monitoring system and relates to an agricultural growth monitoring system. The Internet of Things greenhouse agricultural growth monitoring system comprises a plant ecology sensing system, a meteorological environment sensing system, and an equipment control system. The plant ecology sensing system and the meteorological environment sensing system transmits acquired data to a host computer. The host computer controls the start and the stop of the equipment control system. The plant ecology sensing system comprises a plant stem flow gauge, a tree radial growth monitor, a chlorophyll content measuring sensor, a leaf thickness sensor, and a fruit expansion sensor. The meteorological environment sensing system comprises an air temperature sensor, an air humidity sensor, a soil temperature sensor, a soil humidity sensor, a carbon dioxide sensor, an in-greenhouse illumination sensor, an out-greenhouse illumination sensor, an out-greenhouse rainfall sensor, and an out-greenhouse wind direction and wind speed sensor. The Internet of Things greenhouse agricultural growth monitoring system guarantees optimum plant growth environment and state, saves production cost, and reduce production energy consumption.

Description

technical field [0001] The invention relates to an agricultural growth monitoring system, in particular to an intelligent and efficient facility agricultural growth monitoring system [0002] system. Background technique [0003] At present, most agricultural facility IoT systems are based on wireless networks to complete the collection of meteorological information or agricultural growth environment information. Meteorological information includes wind direction, wind speed, sunshine intensity, etc., and agricultural growth environment information includes air temperature, air humidity, light intensity, CO2 concentration, soil temperature and soil moisture etc. This environment control optimization technology is not the most suitable for the growth and development of plants at present, because there are many factors involved in plant growth and development, and there are too many associated factors and unmeasurable changes. It is difficult for plants to achieve the best g...

AI Technical Summary

Problems solved by technology

In the actual system, due to changes in the system state and parameters, there will be uncertainty in the state and parameters in the process, and it is difficult for the system to achieve the best control effect.

Therefore, the traditional PID controller is difficult to obtain satisfactory control effect

[0006] Using neural network models can adapt to the nonlinear behavior of a good greenhouse climate, but the random selection of initial parameters makes them converge slowly, which is not ideal

Images