IoT Technologies and Agricultural Applications

一、The core definition of Internet of Things technology

二、The key technical system of the Internet of Things

1. Sensor technology

   Sensor technology is the "nerve endings" for the Internet of Things to perceive the physical world and also the key interface for computers to process physical information. Since computers can only recognize digital signals, sensors need to convert analog signals such as temperature, humidity, pressure and light into digital signals to provide a basis for subsequent data processing. For instance, soil moisture sensors in agricultural scenarios and equipment vibration sensors in industrial scenarios are typical application carriers of sensor technology.

   
   

2. RFID technology

   RFID technology is a special sensing technology that integrates radio frequency technology and embedded technology. It achieves non-contact identification of objects through wireless communication between RFID tags and readers. Compared with traditional barcodes, RFID tags do not require close-range scanning, can be read in batches and data can be repeatedly written. They are widely used in scenarios such as product traceability, logistics sorting, and asset management. For example, the full-process traceability tags of agricultural products can quickly read information such as origin, processing, and transportation through RFID technology.

   
   

3. Embedded system technology

   Embedded system technology is the "smart brain" of Internet of Things (iot) devices. It integrates multiple types of technologies such as computer software and hardware, sensor technology, and integrated circuit technology. After receiving the information collected by sensors, it can quickly classify, analyze and make decisions. From the processing of heart rate data in smart bracelets to the issuance of irrigation instructions in agricultural Internet of Things gateways, all rely on the efficient computing power of embedded systems to ensure stable responses of devices in complex environments.

   
   

4. M2M technology

   M2M(Machine-to-machine) technology focuses on the interconnection and centralized control among terminal devices, with the core being to achieve autonomous communication and collaborative operation of the devices. The three major domestic communication operators are the main promoters of the M2M concept. This technology can achieve remote data collection, status monitoring and instruction issuance of devices. For example, in smart logistics, the real-time communication between the on-board terminal of a truck and the logistics management platform can ensure the full visibility of the transportation status of goods through M2M technology.

   
   

5. Integration of informatization and industrialization technology

   The integration of informatization and industrialization, or industrial informatization, is the core driving force for the application of Internet of Things (iot) technology in the industrial sector, mainly led by the automation and control industry. It deeply integrates information technology with industrial production. It collects operation data of industrial equipment through Internet of Things devices and then uses information systems to achieve intelligent control of production processes. For instance, the intelligent production lines in factories can achieve early warning of equipment failures and dynamic optimization of production parameters through the integration of informatization and industrialization technology.

   
   

三、Typical applications of Internet of Things (iot) technology in the agricultural sector

1. Agricultural resource management

   By deploying satellite positioning devices, soil nutrient sensors and other Internet of Things terminals in farmlands, core resource data such as cultivated land area, soil fertility and water resource distribution can be accurately grasped, providing a scientific basis for cultivated land planning, crop layout and water and fertilizer allocation, and avoiding the waste of agricultural resources.

   
   

2. Agricultural ecological environment management

   With the help of meteorological sensors, air temperature and humidity sensors, water quality monitoring equipment, etc., the ecological data of farmland such as climate, hydrology and air quality can be monitored in real time. Once abnormal situations such as heavy rain, low temperature and deterioration of water quality occur, the system will automatically trigger a warning to help farmers take protective measures in time and reduce the impact of the natural environment on agricultural production.

   
   

3. Production process management

   The Internet of Things (iot) technology can achieve full-process automated control of agricultural production. For instance, it can automatically start and stop irrigation equipment based on soil moisture sensor data, adjust fertilization plans according to crop growth stage data, and monitor crop pest and disease conditions through video sensors. This enables agricultural production to shift from "relying on experience" to "relying on data", significantly enhancing production efficiency and crop quality.

   
   

4. Agricultural products and food safety

   By using RFID tags, traceability sensors and other devices, a full-process traceability system for agricultural products from the origin to the dining table can be established. Consumers can scan the product code to view information such as the planting time, medication records, processing procedures and transportation routes of the agricultural products, achieving transparent control of food safety and ensuring food safety.

   
   

5. Management of agricultural equipment and facilities