How Automatic Farmland Weather Station Enhances Agricultural Management: Monitoring, Early Warning & Remote Access

The Automatic Farmland Weather Station is an integrated device dedicated to monitoring the agricultural production environment. It can accurately detect parameters closely related to crop growth, including soil moisture, soil temperature, air temperature and humidity, light intensity, wind direction and speed, and precipitation. In agricultural production, it enables real-time monitoring of weather and soil environment information, provides rapid feedback, and offers data support for agricultural production decision-making.

Under the traditional agricultural model, meteorological disasters often cause severe losses to crops. Due to the lack of early warning, farmers are often helpless when facing such losses. In fact, the key to drought resistance and disaster prevention lies in continuous monitoring of the meteorological environment—only by grasping environmental changes in a timely manner can preventive preparations be made in advance. The Automatic Farmland Weather Station perfectly meets this demand: by using the accurate data it collects, it helps create a more suitable growth environment for crops and promotes their healthy growth.

The data collected by Fengtu’s Automatic Farmland Weather Station can be transmitted to a dedicated "Internet of Things (IoT) Platform" via wireless GPRS, 3G, or 4G networks. Free from geographical restrictions, users can check and analyze the collected data at any time through a mobile app or web terminal, and grasp the dynamics of the farmland environment in real time. The main unit can display the collected data in real time; users can also remotely set the data collection time, storage and transmission intervals, and IP address through the web terminal, making the operation convenient and flexible.

The device adopts a modular design, and sensors can be flexibly configured through the main unit menu. Users can choose the GPRS network mode to transmit data according to actual conditions. The data can be uploaded either to a user-specified computer or to the main server—these two upload methods can be switched flexibly without affecting data transmission.

To gain a more comprehensive understanding of farmland conditions, the device can also be equipped with an optional camera. The camera can take real-time photos of crop seedling conditions and upload the photos to the platform, allowing users to intuitively grasp the growth status of crops.