Based on advanced information technologies such as wireless sensor, Internet of Things, cloud platform, big data and the Internet, the four information monitoring system for agricultural parks is composed of moisture sensor, seedling disaster camera, pest forecasting lamp, network digital camera, crop physiological and ecological monitor, as well as early warning and forecasting system, expert system and information management platform.

Users at all levels can access data and system management functions through web, PC, and mobile clients, and monitor and manage important parameters during crop growth processes such as pest and disease conditions, crop growth, disaster situations, air temperature, air humidity, dew point, soil temperature, and light intensity in real-time at each monitoring point.

The system combines crop management knowledge, crop image library, disaster indicators and other modules to provide real-time remote monitoring and diagnosis of crops, providing intelligent and automated management decisions. It is the "thousand mile eye" and "stethoscope" for agricultural technicians to manage agricultural production.

　　1、 Cloud platform:

　　1. View park data anytime, anywhere

Comprehensive management of the three-dimensional map of the park, with all monitoring points displayed intuitively and monitoring data clear at a glance.

Soil data: soil temperature, soil moisture, soil salinity, soil pH value, etc;

Meteorological data: air temperature, air humidity, light intensity, rainfall, wind speed, wind direction, carbon dioxide concentration, etc;

Insect data: insect photos, statistical counts, etc.

Plant ontology data: fruit enlargement, stem micro changes, leaf temperature, etc;

Equipment status: fertilizer applicator, water pump pressure, valve status, water meter flow rate, lighting status, roller shutter status, etc.

　　2. Check the pest and disease situation in the park anytime, anywhere

The system uses intelligent pest monitoring devices built in the fields to trap and kill insects without pollution, and is environmentally friendly. At the same time, it uses GPRS/3G mobile wireless network to collect on-site images at regular intervals and automatically upload them to the remote IoT monitoring service platform. Staff can remotely understand the pest situation and changes in the fields at any time and formulate prevention and control measures. Through system settings or remote settings, the on-site images will be automatically taken and wirelessly sent to the monitoring platform. The platform will automatically record the collected data every day to form a pest database, which can be presented in various forms such as charts and lists to agricultural experts for remote diagnosis.

Remote shooting instructions can be issued at any time to obtain insect photos, and automatic photo uploading can also be set at a certain time. It can be viewed through mobile phones or computers without the need to go to the field to check.

Insect recognition system, automatically identifying insect species and achieving automatic classification and counting.

Historical data can be presented in the form of curves and reports, providing a clear and intuitive view of monitoring data from all monitoring devices.

The thousand fold optical magnifying microscope can take clear and timed images of spores, with automatic focusing and uploading, achieving 24/7 unmanned automatic monitoring of spore conditions.

　　3. Soil moisture monitoring

Each province contains numerous cities, counties, townships, and areas. With such a large planting area, it is difficult to present the overall soil moisture situation of the province in a report. The graphic warning and disaster rendering module is designed to solve this problem.

The platform categorizes disaster situations into different colors based on their severity and represents them in the form of dots on provincial administrative maps. As soon as you open the platform's administrative area map, you can intuitively display the soil moisture situation in each region of the province.

　　4. Expert system

This system can consolidate all the information of pest and disease control experts together, and users can contact experts online to consult on the difficulties of preventing and controlling the four types of pests and diseases.

　　5. Video surveillance

Place 360 ° infrared spherical cameras within the management area to provide clear and intuitive real-time monitoring of crop growth in the planting area, as well as remote control of equipment execution.

Add fixed-point preset function, which allows for selective setting of monitoring points. Click to quickly convert and present video images.

　　6. Task setting, remote automatic control

Remote automatic control of water and fertilizer operations, including fans, sunshades, side windows, wet curtains, plant growth lights, etc. inside the greenhouse. After the user sets the monitoring conditions, it can operate automatically and remotely control various agricultural facilities and machinery equipment on the production site, quickly achieving automated irrigation operations for greenhouse and field planting.

At the same time, remote monitoring and control of pest and disease monitoring equipment can also be achieved, and the working status of the equipment can be remotely managed.

　　2、 Mobile management is convenient and fast

The system has achieved seamless integration with mobile phones, tablets, and PC computers. Convenient for management personnel to view system information and remotely operate related devices anytime and anywhere through mobile devices such as smartphones.

　　3、 Data collection

Data collection is the foundation for achieving information management and intelligent control. Due to the particularity of the agricultural industry, sensors are not only deployed indoors, but also in fields and wilderness due to production needs, deep in soil or water, exposed to wind and rain and corrosion of soil water quality, requiring high precision, stability, and accuracy of sensors.

　　1. Remote photogrammetric insect detection and reporting light

Changed the way of measurement and reporting work, simplified the measurement and reporting workflow, and ensured the health of measurement and reporting workers.

　　2. Remote photogrammetric spore capture device

Specially developed for collecting disease pathogen spores and pollen dust particles that move and spread with the air, it is mainly used to detect the stock and diffusion dynamics of disease spores, providing reliable data for predicting and preventing disease outbreaks and infections. Collect various pollen to meet the research needs of application units. The equipment can be fixed within the measurement and reporting area, and specific spore types and quantities can be collected at designated locations through online analysis and real-time transmission to the management platform.

　　3. Wireless Field Meteorological Station

Characteristics:

① Remote setting of data storage and transmission time intervals without on-site operation;

② Equipped with a camera, it can take real-time photos and upload them to the platform to understand the field and crop situation in real time;

③ Powered by solar energy, it can work in the field for a long time;

④ 17 meteorological parameters including soil moisture, soil temperature, air temperature and humidity, light intensity, rainfall, wind speed and direction can be configured.

　　4. Sensors

According to the demand for water monitoring in modern agricultural development, various sensors have been developed.

Stainless steel: wired connection to weather stations or greenhouse butlers, high waterproof rating, can be measured in the field at any time;

Flake: Used for precision agriculture, long-term indoor and outdoor measurement, non corrosive;

Strip type: It can measure soil moisture at a cross-section of 3-10m, calculate the average value, and ensure accurate data;

Tube type: capable of measuring soil moisture in four layers at once

　　Plant ontology sensor

At present, environmental sensors mainly include sensors for air temperature and humidity, light, carbon dioxide, wind speed and direction, rainfall, soil temperature and humidity, etc., which are sensors for understanding the growth environment of crops.

Plant ontology sensors can monitor real-time or phased changes in plant stem thickness, leaf temperature, stem flow rate, fruit weight gain and expansion rate, photosynthesis, and other plant parameters, which can intuitively reflect the growth status of plants. By measuring crop parameters, the impact of soil or air environmental parameters on crops can be intuitively reflected, thereby guiding users to more scientifically and reasonably regulate the production environment to achieve high yield and high quality of crops.