Smart agriculture "refers to the comprehensive application of various information technologies such as cloud computing, sensor networks, and 3S in agriculture, achieving more complete information infrastructure support, more thorough agricultural information perception, more centralized data resources, wider interconnection, deeper intelligent control, and more intimate public services. The intelligent agriculture training system applies C # programming, JAVA programming, C programming, Unity3D development, Android application development, embedded technology, Internet of Things technology, RFID recognition technology, wireless networking technology, etc., to improve students' comprehensive application ability and embedded development ability. The intelligent agriculture training kit is mainly aimed at project-based teaching, effectively combining theoretical learning with engineering practice through practical projects, fully exerting students' subjective initiative, cultivating students' independent thinking ability, teamwork ability, and ability to analyze and solve problems.

Figure 1 Product actual picture

IoT virtual simulation software (3D)

Capable of independently simulating commonly used agricultural IoT devices without relying on hardware, and implementing hardware device functions through computer software. Provide supporting VR virtual reality roaming operation software, provide smart agriculture virtual reality scene roaming, provide data acquisition and control of commonly used agricultural IoT sensors, and can complete 3D real scene roaming in smart greenhouses and simulate real operations.

Experiments can be conducted on the platform to collect agricultural environmental parameters (such as air temperature and humidity, soil temperature and humidity, lighting, etc.), as well as intelligent control experiments for irrigation, fans, sunshades, and other equipment. Strategy settings can also be made to achieve intelligent linkage in smart agriculture scenarios. Can be paired with practical training kits to conduct experiments that combine reality and virtuality. Can provide upper computer development interfaces for students to develop upper computer programs.

Figure 2: Virtual Simulation Software (3D)

Monitoring function systemObtain plant growth environment information based on data from wireless sensor aggregation nodes to monitor parameters such as soil moisture, soil temperature, air temperature, air humidity, light intensity, and plant nutrient content. And based on the feedback information above, automatic irrigation, automatic cooling, automatic mold rolling, automatic liquid fertilizer application, automatic spraying and other automatic controls will be implemented in the agricultural park.

Monitoring function systemBy equipping wireless sensor nodes, automatic information detection and control can be achieved in agricultural parks. Sensor nodes can monitor parameters such as soil moisture, soil temperature, air temperature, air humidity, light intensity, and plant nutrient content. Provide various sound and light alarm information and SMS alarm information according to the needs of crop cultivation.

Real time image and video monitoring functionThrough devices such as cameras and wireless sensor nodes, remote real-time image and video monitoring functions can be achieved. Realize optimal growth environment regulation and fertilization management of crops through multidimensional information and multi-level processing.

Figure 3 Product Physical Picture

Project Background:

Agriculture is an important component of China's national economy and holds significant importance in improving the quality of life for its citizens. The application of IoT technology in agricultural production plays a positive role in changing traditional agricultural production methods and increasing crop yields. At the same time, in the use of water, fertilizer, medicine, etc., precise quantity control is achieved to avoid waste.

Project 1: Water saving planting scenario

Scenario introduction: Simulate the use of IoT technology to achieve agricultural water conservation while ensuring water supply for field crops. Emphasize the process of intelligently controlling the water supply based on feedback from wireless sensor nodes. Soil temperature and humidity sensors and air temperature and humidity sensors provide feedback on moisture content and other information to the central control system, store it in a database, intelligently collect and analyze data, and intelligently control various systems based on user set thresholds to timely replenish water for crops. In the accompanying VR virtual reality roaming operation software, data acquisition and control of relevant sensors can be completed, realizing 3D real scene roaming inside the intelligent greenhouse and simulating real operations.

Related experiments: Zigbee based sensor data acquisition, experimental data storage, graphic image design, etc

Equipment involved: Open source tablet application gateway, soil temperature and humidity sensor, air temperature and humidity sensor, cylindrical water pump, etc

Project 2: System regulation of carbon dioxide concentration scenario

Scenario introduction: Simulate the process of adjusting the environment by the system when the concentration of carbon dioxide in the greenhouse area is too high. During the day, there is no ventilation after sunrise, and as photosynthesis progresses, the concentration of carbon dioxide gradually decreases. The carbon dioxide sensor promptly feeds back the concentration of carbon dioxide in the air to the system. Based on the strategy settings, the system promptly turns on the fan to increase the concentration of carbon dioxide and ensure the smooth progress of crop photosynthesis. At the same time, users can use VR software to achieve real-time roaming inside the greenhouse and monitor the data and conditions in the system in real time.

Related experiments: Zigbee based serial port transmission experiment, point-to-point data transmission, Android image burning, etc

Related devices: Open source tablet application gateway, gimbal camera, carbon dioxide sensor, exhaust fan, etc