IoT agricultural system development and treatment plan

2020-12-15 11:17:31

IoT agricultural system development and treatment plan

1. A brief introduction to the IoT processing solution for smart agricultural greenhouses

Greenhouses can provide growth periods and added yields when they are not suitable for animal growth. They are mostly used for animal cultivation or seedling cultivation of warm-loving vegetables, flowers, forests, etc. during high-temperature periods. Therefore, the requirements for the growth environment of planting crops are much more accurate. Most farmers rely on their feelings for heating, watering, and ventilation. When people feel cold, they heat up, they water when they feel dry, and they ventilate when they feel stuffy. There is no basis for superstition. After agriculture has entered the information age, more and more attention has been paid to the collection of agricultural environmental information such as air temperature and humidity outside the greenhouse, soil temperature and humidity, CO2 concentration and light. Therefore, the Internet of Things technology is introduced into the greenhouse to complete the efficient and precise management of greenhouse planting.

Internet of Things Agricultural System Processing Solution In the greenhouse environment, a single greenhouse can apply Internet of Things technology, using different sensor nodes and nodes with complex actuators (actuators with low working current such as fans, high-voltage motors, valves, etc.) to form wireless The network measures soil moisture, soil composition, pH, precipitation, temperature, air humidity and air pressure, light intensity, CO2 concentration, etc. to obtain the best conditions for crop growth, through model analysis, automatic control of the greenhouse environment, control of irrigation and fertilization Work to obtain the best conditions for animal growth. Regarding the agricultural park in the greenhouse, after receiving the data sent by the wireless sensor convergence node, the storage, display and data management can be completed, and the acquisition, management, analysis and processing of all base test point information can be completed, and the intuitive graphs and curves The method is displayed to users in various greenhouses, and various sound and light alarm information and SMS alarm information are provided according to the needs of planted animals to complete the intensive and networked short-range management of the greenhouse. In addition, the Internet of Things technology can be used in different stages of greenhouse consumption to analyze the performance and environmental factors of animals at different stages and reflect them in the next round of consumption, thereby completing more precise management and obtaining better quality products.

Second, the important part of the intelligent agricultural greenhouse IoT processing plan

1. Data collection can be connected to the IoT system to collect soil temperature, humidity, nutrient content (N, P, K), PH value, precipitation, air temperature and humidity, air pressure, light intensity, etc. to obtain the best conditions for crop growth , And real-time regulation or automatic control of temperature control system, irrigation system, etc. according to parameter changes;

2. The intelligent control is wirelessly transmitted, connecting the control room and the control cabinet, and operating and controlling the indoor center console, you can control the fan, external shading, internal shading, drip irrigation, side windows, wet curtain or field in the greenhouse with one button Water and fertilizer sprinkler irrigation in the interior, complete short-range management.

3. Software platform The agricultural Internet of Things software platform is not just an operating platform, but a huge management system, which is a combination of intangible and tangible control systems used by users in completing agricultural operations. On this platform, users can fully carry forward their own management ideas, management concepts, and management methods, complete information intelligent monitoring and automated operations, ineffectively integrate internal internal resources, and improve application efficiency.