Based on technologies such as the Internet of Things, big data and cloud computing, and combined with the growth requirements of different environments and crops, the Internet of Things network is established to carry out real-time monitoring of affecting factors such as plant growth, farmland microclimate, soil moisture, and disease and insect conditions. According to the results of insect face recognition and digital plant protection data analysis, the smart green prevention and control technologies such as intelligent insecticidal lamp and plant protection drone are combined. Realize the entire intelligent management of crop growth, achieve the goal of comprehensive monitoring, timely warning, precise prevention and control of pests and diseases, improve the ability of agricultural disaster prevention and reduction, and ensure agricultural production safety; It is also conducive to improving agricultural production conditions, supplementing the shortcomings of farmland infrastructure, helping the construction of modern high-standard farmland, and promoting the long-term goal of ensuring sustained agricultural increase and sustainable environmental development.

Internet of Things integrated management system

The integrated management system of the Internet of Things for crop pests and diseases mainly consists of intelligent pest identification and reporting system, agroforestry microclimate monitoring system, intelligent pest induction and reporting system, disease monitoring system and other functions. The Internet of Things compatibility is strong, no traffic, through wireless transmission will be all weather real-time collection of information data sent to the central station automatically upload database, according to real-time data and historical big data, system analysis and comparison calculation, automatic entry into the model, intelligent control of any region within the scope of four emotions (seedling, moisture, disease and insect situation, disaster) monitoring, early warning. The forecast is standardized, networked, visualized, modeled and intelligent. Users can log in their own exclusive network client anytime and anywhere through mobile terminal and PC terminal, access real-time field data and system management. Combined with the system early warning model, real-time remote monitoring and diagnosis of crops are obtained, and intelligent and automated solutions are obtained to realize dynamic monitoring of crop growth and artificial remote management, so as to ensure that crops grow under appropriate environmental conditions, improve agricultural productivity and increase farmers' income.

1. Monitoring equipment

· Agroforestry microclimate monitoring system

The agroforestry microclimate monitoring system integrates a number of advanced sensors, real-time collection of rainfall, wind speed, wind direction, temperature, humidity, light, soil temperature and other climate data, and automatically uploaded to the smart agricultural Internet of Things platform, to achieve the necessary regional meteorological data fixed point automatic collection and storage, data can be exported and imported for editing, disease and insect monitoring and reporting visualization and networking Basic equipment for standardization and automation of work.
 

· Intelligent wind suction insect killing lamp

It integrates light inducement technology, wind suction technology and numerical control technology, and has the function of attracting and active suction. Using the phototaxis of insects to attract pests, through the fan airflow to attract pests. Effectively trapping and killing hundreds of agricultural and forestry pests, the trapping effect is obvious, significantly reduce the density of insects, not only protect agricultural and forestry crops from pests, but also reduce the number of pesticide use, to achieve the purpose of pesticide reduction, agricultural product quality and safety, is to replace chemical pesticides green physical insecticidal equipment.

· Intelligent spore capture and detection equipment

Intelligent runner capture measuring and reporting equipment can detect disease pathogens that flow and spread with the air. The equipment contains a high-power microscope photography device, with air quantification, timed collection, automatic culture, automatic photography, wireless transmission and other functions, which can collect and analyze the images of pathogenic bacteria in real time, analyze their quantity changes, predict the time, degree and transmission route of diseases, and realize the digital and automatic collection of pathogenic bacteria. Prevent the occurrence and spread of agricultural diseases in time.

· Ecological remote real-time monitoring system

The ecological remote real-time monitoring system integrates network and video technology, uses independently developed information converter and special software to realize remote real-time monitoring of the dynamic situation of plants, animals and insects, and provides a basis for agricultural and forestry measurement and control, expert research and nature exploration. The system can be connected with the agricultural and forestry Internet of Things system, and can work continuously and automatically, unattended all day long. Real-time monitoring and storage of the field seedling situation, moisture content, insects and microorganisms are automatically uploaded to the server to realize wireless transmission, remote control and information data sharing at national, provincial, city, county and township information collection stations, which are widely used in remote diagnosis, prediction and early warning of agricultural and forestry diseases and insects.

· Ecological panoramic monitoring system

The ecological remote real-time monitoring system is mainly used for remote diagnosis, prediction, early warning, research and other fields of farm diseases and pests. It has a pest risk prediction and early warning system, which can set single or multiple visual channels to monitor plant growth, collect crop group characteristics and individual characteristics in real time, and transmit them to relevant regions and departments through the network. It can store and replay park images, quickly and accurately predict the occurrence dynamics and environmental factors of pests and diseases in the monitoring area, and analyze the spatial pattern of population.

· Intelligent identification and reporting equipment

The equipment uses advanced technologies such as computer vision image processing and intelligent algorithm to trap pests by light, and the high-definition camera automatically takes pictures to collect images and uploads them to the smart agriculture platform. After intelligent algorithm analysis, the types and statistics of pests are accurately identified, and the insect body drying, automatic photographing, automatic recognition, automatic counting and rainwater diverting can be completed independently. According to the identification results, the platform automatically analyzes the occurrence situation and predicts the occurrence trend of pests in the field. When the occurrence of pests exceeds the rush value, the system automatically sends out early warning information, which can be used by managers through computer websites and mobile apps Real-time monitoring and management equipment for modern agriculture to provide accurate pest detection and reporting and prevention and control guidance.

· Outdoor pest display screen

The LED display of disease and insect monitoring data built in the outdoor can display the data information collected or analyzed by each monitoring in real time, including meteorological factors, real-time dynamics of diseases and pests, early warning information, etc.n the outdoor can display the data information collected or analyzed by each monitoring in real time, including meteorological factors, real-time dynamics of diseases and pests, early warning information, etc.

2. Application cases