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Agricultural Weather Stations: Monitoring Agricultural Microclimate

Article source:Weather station   time:2024-09-19 14:31:06    viewed:1times

Agricultural microclimate is usually limited to specific agricultural production areas such as farmland, orchards, greenhouses, pastures, etc. Its spatial range generally ranges from a few meters to several hundred meters. Compared with the macroclimate, the range of agricultural microclimate is smaller, and the changes of climatic elements are more intense and complex. Therefore, professional Agricultural Weather Stations are needed for measurement.


It integrates multiple high-precision sensors and can monitor important meteorological elements such as air temperature, humidity, light intensity, wind speed and direction, rainfall, and soil temperature and humidity in the field in real time and accurately. This observation instrument realizes all-weather automatic monitoring without manual attendance, greatly improving work efficiency. It can not only store monitoring data for a long time, but also transmit data to remote servers or user terminals in real time through communication modules, which is convenient for users to view and analyze at any time. When meteorological elements exceed preset thresholds, it can also send out early warning signals to provide guarantee for farmers to take timely countermeasures.


Agricultural Weather Stations are widely used in the promotion of plant protection in the agricultural and forestry industries, and also play an important role in the field of pest research and pest forecasting of scientific research units and teaching units. This equipment has functions such as single machine can accumulate and store data for 365 days and information resources can be shared on the network. Users can select time and items according to their own needs to view data, and can export and edit microclimate data, make charts as needed, and analyze and study the occurrence rules of agricultural and forestry pests and diseases under different climatic conditions, so as to quickly realize statistical analysis of data and make accurate forecasts.

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