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Smart Agriculture and Agricultural Weather Stations: Powering Precise Crop Production with Meteorological Data

Author: Fengtu time:2025-08-15 09:01:08 viewed:21℃

"Food is the paramount necessity of the people." As the fundamental basis for human survival and development, grain production distinctly embodies agriculture’s foundational role in the national economy.

Smart agriculture integrates big data, mobile Internet, the Internet of Things (IoT), and cloud computing into a precise production model. Characterized by high efficiency, premium quality, and low consumption, it leverages big data and feedback mechanisms to unblock information channels, efficiently connect market supply and demand, and assist farmers or agricultural enterprises in formulating targeted production and sales plans. Small Agricultural Weather Stations are indispensable equipment in smart agriculture, providing critical meteorological data for agricultural production.

Fengtu’s small Agricultural Weather Station is a high-precision meteorological observation device with diverse functions and low power consumption. It can operate in the field for extended periods without frequent power replacements, reducing maintenance costs and complexity. Its installation is quick—staff can complete setup in a short time to put it into use promptly—making it highly suitable for field monitoring tasks.

The station consists of five core components:

Meteorological sensors: Detect various meteorological elements such as air temperature, humidity, light intensity, wind speed, and wind direction.

Data logger: Organizes and stores the data collected by the sensors.

Solar power supply system: Uses clean solar energy to power the device, which is both environmentally friendly and adaptable to off-grid field environments.

Pole bracket: Provides a stable installation foundation for the equipment.

Cloud platform: Enables remote data transmission and sharing, allowing users to check monitoring data anytime via computers or mobile phones.

Agricultural Weather Stations


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