Agriculture leverages the natural productivity of land, and its development is inherently sustainable. It necessitates a favorable regional ecological environment and can widely adopt production techniques and models such as ecological agriculture, smart agriculture, and green agriculture to achieve sustainable utilization of agricultural resources, attain a virtuous ecological cycle in the region, and form a well-functioning, recyclable agricultural ecosystem.
01 Background of the Solution
Agriculture is a fundamental industry for human survival and development. Agricultural planting is greatly influenced by natural factors such as climate, and meteorological changes typically play a pivotal role in agricultural production, especially for large-scale planting of staple foods. Therefore, real-time monitoring of weather changes, early prevention of meteorological disasters, and the adoption of protective measures are essential to improve agricultural production efficiency and minimize losses.
The agricultural meteorological monitoring system is an environmental monitoring system tailored for the agricultural ecological environment and agricultural production activities. It monitors and collects information on agricultural meteorological environmental factors closely related to crop growth, such as rainfall, light, and heat. It comprehensively monitors and collects data on crop growth status and agricultural weather changes to promptly grasp the growth situation in farmland. When farmland growth is restricted due to certain factors, farmers can be promptly notified to take emergency preventive measures, thereby providing corresponding scientific data and decision-making support for agricultural production, agricultural environmental research, crop improvement, pest control, and other related production management work.
02 User Needs
FORESTRY
As China's agricultural planting industry becomes increasingly large-scale, the application of agricultural meteorological monitoring in planting is also growing. The agricultural meteorological monitoring system can provide farmers with various forms of meteorological monitoring information services through means such as meteorological information forecasting, monitoring, and analysis. In agricultural production processes such as farming, planting, fertilization, and management, farmers need to make scientific decisions with reference to meteorological information. However, without specific meteorological data as a reference during the process, it is difficult to make accurate decisions and ensure healthy crop growth. Traditional monitoring methods are both expensive and inaccurate. With the introduction of the agricultural meteorological monitoring system, professional meteorological monitoring equipment such as smart agricultural environmental meteorological stations can be applied to agricultural production, reflecting meteorological changes with specific data and further enhancing the ability of modern agriculture to prevent and control disasters.
03 Introduction to QSL Connect's Smart Environmental Meteorological Monitoring Station
QSL Connect's Smart Environmental Meteorological Monitoring Station, based on IoT technology, consists of meteorological sensors, diversified customized probes, solar power supply, corrosion-resistant pole supports, and intelligent cloud platform data upload. It can be quickly deployed to monitor meteorological parameters that have a significant impact on crop growth online, such as air temperature and humidity, rainfall, wind speed, wind direction, light, CO2, hydrogen sulfide, ammonia, ethylene, oxygen, atmospheric pressure, and radiation. It provides more comprehensive and accurate meteorological observation data and is widely used in agriculture, forestry, planting surveys, and other fields.
The meteorological monitoring station can connect to the GS1 industrial-grade waterproof temperature and humidity recorder. The GS1 adopts a fully enclosed waterproof and dustproof design, suitable for various harsh environments. It is equipped with a high-precision chip to accurately collect and monitor various agricultural planting environmental data such as temperature, humidity, and light in real-time and can upload it to the QSL Connect intelligent cloud platform for viewing monitoring data on multiple terminals such as mobile phones and computers.
The meteorological monitoring station adopts an intelligent control system that can operate and collect environmental data normally without attendance. It supports three power supply modes: solar panels, 5V2A adapters, and DC12V interfaces, ensuring smooth and sustained operation. Through pre-set parameters, it automatically completes the measurement, recording, and uploading of various meteorological parameters. The sensor probes it uses have high measurement accuracy and stability and can provide reliable meteorological data after calibration experiments, ensuring the needs of planting surveys. Meanwhile, the meteorological monitoring station can transmit the collected meteorological data to the QSL Connect intelligent cloud platform in real-time, allowing farmers to promptly obtain the latest meteorological information data for monitoring and analysis.
The QSL Connect intelligent cloud platform supports historical data storage, automatically saves the received meteorological parameters, forms real-time curves based on the collected data, and visually presents them in the form of data tables, graphs, etc. It supports multiple over-limit alarms, including APP, SMS, phone calls, emails, and WeChat messages. When meteorological monitoring data exceeds the specified range, it automatically sends alarm notifications to users. It supports open API interfaces, allowing synchronous management of multiple devices and data sharing among multiple people.
QSL Connect's Smart Environmental Meteorological Monitoring System provides first-hand meteorological monitoring data for crop growth through diversified sensor monitoring, high-precision data collection, IoT mode expansion, multi-mode warning guarantees, and a big data monitoring platform. It provides accurate data support for agricultural planting, effectively enhancing agricultural production efficiency and risk prevention and management levels.