Remote real-time monitoring system of pests How to use IoT to start intelligent forecasting?
In recent years, with the development of agricultural science and technology, we can clearly feel that the application of IoT technology in modern agriculture has become more and more widespread. Remote real-time monitoring systems for pests and other agricultural information-based equipment based on IoT technology are also They were born one after another and were put into agricultural production activities. Regardless of whether it is in the monitoring of public opinion, disaster warning, or insect forecasting, these Internet of Things technologies have played an important role in ensuring the safety of agricultural production and promoting the development of modern agriculture in the direction of intelligence and precision for modern agriculture. Taking the road of improving quality and efficiency and providing green development has provided important technical support. Here's an example of the pest report: How does remote pest real-time monitoring system use the Internet of Things to deploy intelligent forecasting? First of all, we know that the Internet of Things can be divided into three parts: the perception layer, the network layer and the application layer. Each part bears different work content. The sensing layer is mainly composed of various embedded chips, sensors, and sensor-related gateways. Its role is to identify the body and collect information. Reflected in the remote real-time monitoring system of pests, it can be seen as the camera system of the system, the main role is to take pictures of the trapped insects, automatically upload pictures. The main role of the network layer is to transmit information and process information acquired by the sensory layer. This part corresponds to the automatic recognition function of the remote real-time monitoring system of pests. The system can perform technical analysis and processing on the uploaded images, identify the pests and accurately carry out count. The last is the application layer of the Internet of Things. This part can be seen as an interface and connection between the Internet of Things and users. According to the needs of remote real-time monitoring of modern agricultural and forestry pests, pest remote real-time monitoring system can be applied through the application layer. Connect the pest reporting and reporting department, and timely transmit the monitored pest information to the relevant survey personnel, so as to provide timely and effective scientific basis for pest prevention and control, and realize the goal of reducing pesticide harm, increasing production and increasing efficiency. Fat eBike (Snow eBike)
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