Greenhouse control is based on the temperature, humidity and light of the external environment, as well as wind speed, wind direction, rainfall and other climatic factors to control the temperature, humidity, ventilation and light in the greenhouse to create a suitable environment for crop growth. In actual control, the controlled quantities such as temperature, humidity and light will affect each···

Perception layer: Various sensors, such as temperature and humidity sensors, light sensors, carbon dioxide sensors, wind sensors, wind speed sensors, rain sensors, soil temperature and humidity sensors, etc., are used to obtain various types of information about plants. The sensing layer is the source of the IoT to identify objects and collect information.

Agricultural Internet of Things, that is, in the greenhouse control system, the use of Internet of Things system multi-temperature sensor, humidity sensor, PH sensor, light sensor, CO2 sensor and other equipment to detect the temperature, relative humidity, PH value, light intensity, soil nutrients, CO2 concentration and other physical quantity parameters in the environment, through a variety of i···

Daylight greenhouse intelligent control system is a complex system involving a variety of factors such as temperature, humidity, carbon dioxide concentration, light intensity and vegetable varieties. Therefore, the design of the system should have the following functions.

Intelligent greenhouse monitoring system integrates sensor, automatic control, communication, computing and other technologies with expert system. By pre-installing a variety of suitable environmental parameters required for crop growth, it builds a greenhouse intelligent software and hardware platform to realize automatic monitoring and control of temperature, humidity, light, CO2 and other facto···

Intelligent greenhouse monitoring system can also be called intelligent greenhouse monitoring system, intelligent greenhouse greenhouse monitoring system. intelligent greenhouse monitoring system developed by Niubol uses environmental data and crop information to guide users in proper cultivation management.

IOT aquaculture environment monitoring system, referred to as aquaculture monitoring system, is oriented to the development needs of aquaculture intensive, high-yield, efficient, ecological, safe, based on intelligent sensing, wireless sensor network, communication, intelligent processing and intelligent control and other Internet of Things technology development

"Smart agriculture" is the full application of modern information technology, integrated application of computer and network technology, Internet of things technology, audio and video technology, wireless communication technology and expert wisdom and knowledge, to achieve agricultural visualization and remote diagnosis, remote control, disaster warning and other intelligent management and intelli···

Facility horticulture automatic control system has become an important part of agricultural modernization because of its wide range of disciplines, high scientific and technological content, and close relationship with people's life, which provides a good opportunity for the vigorous development of facility horticulture automatic control system discipline and produces a huge promotion effect.

GPS is the basis of intelligent agriculture. It is mainly used for the collection of field information in real -time and fast field information and the precise positioning of field operations. It has played an important role in smart agriculture. The environment is performed from irregular monitoring and providing useful space information for the agricultural expert system.