Crop Monitoring and Scouting

1. Background of Crop Monitoring and Scouting System

Soil conditions, meteorological conditions, plant conditions and agricultural production conditions are monitored during Crop Monitoring and Scouting.With the development of smart agriculture, technologies such as the Internet, big data, and artificial intelligence have gradually been applied to all aspects of agricultural production, greatly improving the allocation and utilization efficiency of various production factors such as labor and capital.

With the help of the Internet of Things, smart agriculture has built an agricultural production system that integrates environmental monitoring and precise regulation. It can monitor and supervise different agricultural production environments and objects, detect the physical parameters of the environment through sensor equipment, and conduct real-time dynamic monitoring of production environment conditions such as soil, insect conditions, weather, and seedling conditions to make them meet agricultural production environment standards. The application of these new technologies will greatly improve the quality of agricultural products and make them meet market demand. It can achieve effective docking between supply and demand and promote the refined, efficient and modern development of agricultural production. At the same time, the system is equipped with a wind-suction insecticidal lamp, which can kill insects efficiently and is green and pollution-free.

2. Crop Monitoring and Scouting System Composition

The system consists of a tubular soil moisture monitor, an insect monitoring lamp, a weather station, video surveillance, a fence, a wind-suction insecticidal lamp, and a cloud platform.

The system can monitor and manage the soil temperature, soil moisture, pest and disease conditions (types and numbers of pests and diseases, etc.), climate conditions (air temperature, humidity, rainfall, light intensity, carbon dioxide, wind speed and direction and other environmental parameters) and crop growth of agricultural fields. The data can be uploaded to the measurement and reporting platform via GPRS/4G or network port. Managers can remotely view the data and trends of various environmental parameters in real time, saving manpower, and make corresponding adjustments based on data feedback to ensure good growth of crops and help agricultural production.

3. Introduction to Crop Monitoring and Scouting Platform

1. The agricultural four-condition monitoring platform is an online monitoring platform that integrates insect conditions, weather conditions, soil moisture conditions, and seedling conditions. Insect condition monitoring has the functions of automatic identification of AI pests, remote real-time viewing of insect conditions, online analysis of insect conditions, automatic identification of pest species, regional insect condition statistics, analysis of insect condition change trends, and equipment monitoring. Weather monitoring has the functions of remote real-time viewing of weather conditions and online analysis of historical weather data. Soil moisture monitoring has the functions of remotely obtaining soil moisture conditions (such as soil temperature, humidity, water content, and PH) data and online analysis of historical soil moisture conditions data. Seedling condition monitoring can view crop growth images in real time.

2. The monitoring homepage displays menu information such as equipment list, large-screen visualization, map display, etc. It also displays soil moisture, insect conditions, weather monitoring icons and equipment operating status.

3. Pest monitoring includes five parts: real-time pest situation, pest situation analysis, pest types, real-time status, and operation records.

4. Insect situation analysis: You can query pictures within the selected time range.

5. Insect statistics include regional statistics and trend analysis.

Regional analysis: Select an area, select a time, and click Query to query the number of pests in the insect equipment in the selected time period.

Trend analysis: Select an area, select a time, and click Query to find out the curve changes in the number of each pest species in the area.

6. Meteorological monitoring includes real-time data and historical data.

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

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

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