There are many problems in traditional agricultural production, such as weak infrastructure, extensive management, backward production technology, and poor ability to withstand natural disasters. In recent years, with the adjustment of agricultural structure, these drawbacks have become increasingly apparent, especially in the prevention and control of natural disasters such as agricultural pests and diseases, the traditional plant protection means can not support the increasingly complex pest and disease changes, so urgent need for traditional plant protection equipment The transformation and upgrading are implemented, and the intelligent disease monitoring system based on the Internet of Things is born and successfully applied in this context. In recent years, the development of Internet of Things technology has brought a lot of convenience to human production and life. In the field of agriculture, the Internet of Things is also not uncommon, such as intelligent disease monitoring systems. The system is an integrated agricultural pest monitoring system that integrates remote crop environmental monitoring, pest and disease monitoring, remote data acquisition, and intelligent analysis data. Modern agriculture uses this system to effectively improve the management level of agricultural production technology and establish an intelligent Agricultural Information Network. The application of the intelligent disease monitoring system is of great significance in guiding agricultural production, improving the accuracy of prevention and control of agricultural pests and diseases, reducing crop losses, and guiding China's agricultural science production. Intelligent disease monitoring system is a set of intelligent system based on the Internet of Things technology. The system architecture can be divided into three layers. From bottom to top, it is the monitoring site awareness layer, network transmission layer and server management layer. The sensory layer is the key part to accurately and effectively obtain the crop growth environment data and pest information through sensing the temperature, humidity, light and other crop growth environment information and pest information. The network transmission layer is mainly responsible for the role of information transmission. The collected information has it to be transmitted to the management level; the server management layer collects and analyzes the transmitted information to facilitate the user to remotely view the data, and to timely release forecasting information through analysis to improve the prevention and control effect. skybound Trampoline,Black Trampoline,Black Trampoline With Net,16ft Trampoline Jiangsu Baoxiang Sports Equipment Co., Ltd , https://www.skyboundus.com
August 31, 2024