
Background:
In recent years, with the rapid development of my country’s Internet of Things, big data, intelligent equipment and other fields, and the leap-forward progress of various key technologies applied in the field of agricultural planting, my country’s agricultural industry has become intelligent, digital, and efficient. and the direction of precision change. Smart agriculture is the trend of future development.
Overview:
Smart agriculture is a set of hierarchical heterogeneous sensor network monitoring system suitable for agricultural environment. It is mainly used in agricultural environment such as farmland, greenhouse. Greenhouse, orchard, warehouse, etc. For agricultural environment monitoring, plant ecological monitoring, etc. Including storage and preservation of crops. Environmental monitoring, such as relate soil moisture content. Temperature, air temperature and humidity, illuminance.PH value of irrigation water, salinity, ammonia nitrogen content, etc. Through these monitoring, we can effectively improve the yield and quality of crops. Including flowers and fruits, improve efficiency. Increase farmers’ income, and ensure food security.
Smart agriculture is based on the Internet of Things technology, which mainly includes monitoring function system, monitoring function system, real-time image and video monitoring function. It can monitor the air temperature and humidity, soil temperature, soil moisture, illuminance, CO2 concentration and other environmental parameters in the shed in real time, and upload the data to the cloud platform through GPRS/Beidou for data storage, display and data management, and realize the acquisition of information of all base test points. , management, dynamic display and analysis processing are displayed to users in the form of intuitive charts and curves.
Monitoring content:
Soil Condition Monitoring
Soil condition is an important indicator to help farmers decide. With soil condition monitoring through IoT sensors, farmers can receive immediate alerts about soil moisture, salinity, nitrogen, phosphorus and potassium. Other indicators include soil temperature and air temperature. Estimating them correctly allows farmers to plan watering times .And know when infestations will appear. Soil condition monitoring requires a combination of hardware and software systems to operate in real time and alert users to any major changes.
Soil Moisture Monitoring Station
weather monitoring
Agrometeorological monitoring is one of the most commonly used application areas of IoT. In crop cultivation, yield is largely dependent on the environment, which itself is unstable. Weather monitoring can alert farmers to changing weather conditions. Factors such as temperature, precipitation, humidity. Solar radiation and wind speed. Active weather notifications can be sent to computer cloud platforms and smartphones, enabling them to take immediate action.
weather station
Greenhouse system
Fragile and sensitive greenhouse ecosystems require constant maintenance and control. Greenhouse Automation Smart Agriculture Solution demonstrates the application of remote sensing technology in agriculture. They help maintain excellent microclimate conditions and manage lighting, humidity, carbon dioxide and temperature levels. Instant alerts and increased management capabilities maximize the efficiency of greenhouse cultivation.
“Smart Agriculture” is a process of optimizing the entire agricultural industry chain. Use the least resources to scientifically and rationally grow. And raise the highest quality agricultural products. Use the lowest circulation cost to transport the products to the place of sale as quickly as possible.Use the shortest time to sell the highest quality agricultural products. This should be The in-depth application of “Internet +” or “Wisdom +” in the entire agricultural industry.