1、 System background

With the development of smart agriculture, Internet, big data, artificial intelligence and other technologies are gradually applied to all aspects of agricultural production, greatly improving the allocation and utilization efficiency of labor, capital and other production factor resources.

With the help of the Internet of Things, smart agriculture has built an agricultural production system that integrates environmental monitoring and precise adjustment. It can monitor and supervise different agricultural production environments and objects, detect physical parameters of the environment through sensing devices, and dynamically monitor the production environment conditions such as soil, insect situation, meteorology, seedlings, spores, etc. in real time to meet the standards of agricultural production environment. The application of these new technologies will greatly improve the quality of agricultural products, make them meet market demand, and achieve effective connection between supply and demand, promoting the refinement, efficiency, and modernization of agricultural production. At the same time, the system is equipped with wind suction insecticidal lamps, which can efficiently kill insects and are green and pollution-free.

2、 System composition

The system consists of a tubular soil moisture monitoring device, insect monitoring lights, meteorological stations, video surveillance, fences, wind suction insecticidal lights, spore capture devices, and cloud platforms.

This system can systematically monitor and manage soil temperature, soil moisture, pest and disease conditions (pest and disease types, number of pests and diseases, etc.), climate conditions (environmental parameters such as air temperature, humidity, rainfall, light intensity, carbon dioxide, wind speed and direction), crop growth, and spore count in agricultural fields. The data can be uploaded to the monitoring platform through GPRS/4G or the internet, and management personnel can remotely view various environmental parameter data and trends in real time, saving manpower and making corresponding adjustments based on data feedback to ensure good crop growth and assist agricultural production.

3、 Platform Introduction

The agricultural four situation monitoring and reporting platform is an online monitoring platform that integrates pest, meteorological, soil moisture, seedling, and spore monitoring. Insect monitoring has functions such as automatic identification of Al pests, remote real-time viewing of insect situation, online analysis of insect situation, automatic identification of insect species, regional insect situation statistics, trend analysis of insect situation changes, and equipment monitoring. Meteorological monitoring has the function of remote real-time viewing of weather and online analysis of historical meteorological data. Soil moisture monitoring has the function of remotely obtaining soil moisture data (such as soil temperature, humidity, moisture, pH) and online analysis of historical soil moisture data. Seedling monitoring allows real-time viewing of crop growth images. The spore automatic capture device uses light, electricity, and numerical control technology to automatically capture bacterial spores through microscopic imaging 24/7. The intelligent spore capture device package includes high magnification optical microscopy imaging system, precision limit technology, automatic intelligent focusing fusion technology, IoT transmission control technology and other technical means, and uploads spore images in the air to the designated agricultural cloud platform in real time.

2. The monitoring homepage displays menu information such as device list, large screen visualization, and map display. Display soil moisture, insect infestation, meteorological monitoring icons, and equipment operating status.

3. Insect monitoring includes five parts: real-time insect monitoring, insect analysis, pest species, real-time status, and operation records.

4. Insect situation analysis: Images within the selected time range can be queried.

5. Insect statistics include regional statistics and trend analysis.

Regional analysis: Select the region, select the time, and click on the query to find the number of pests in the selected time period's pest control equipment.

Trend analysis: Select the region, choose the time, and click on the query to find the curve changes of the number of pest species in the region.

6. Meteorological monitoring includes two parts: real-time data and historical data.

7. Soil moisture monitoring includes two parts: real-time data and historical data.

8. System management includes four parts: device management, user management, area management, and system logs.