Agricultural Weather Stations with Fengtu: Automated Weather Monitoring for Informed Decisions

Agricultural Weather Stations are technological equipment in modern agricultural production. They utilize automated monitoring devices deployed in farmland to achieve real-time and continuous monitoring of various environmental factors such as air temperature, humidity, wind speed, wind direction, precipitation, soil temperature and moisture, and solar radiation. This data provides a scientific basis for agricultural production, helping farmers and management departments conduct disaster warnings and precisely schedule farming activities, thereby improving crop yield and quality. For example, in a pomegranate orchard in a certain region, weather station data helped farmers accurately determine the optimal harvest window, effectively avoiding losses.

Fengtu® Agricultural Weather Stations

Fengtu® (Fengtu Technology) manufactures Agricultural Weather Stations that are multi-parameter automated observation systems compliant with World Meteorological Organization (WMO) observation standards. This equipment integrates data collection, transmission, display, and analysis, transforming complex field environments into quantifiable and manageable data.

It features automatic data logging and out-of-limit alarms, and supports remote data transmission via various methods such as GPRS and LoRa. It allows users to connect up to 32 different types of sensors based on specific needs – for example, measuring soil conductivity, carbon dioxide concentration, or photosynthetically active radiation – enabling customized farmland environment monitoring.

To address the challenge of power supply in remote fields, it employs a solar power system, complemented by an MPPT charge controller and storage battery, ensuring long-term stable operation without grid power. The monitored data is ultimately sent to a supporting IoT cloud platform. Users can access real-time data, download historical records, and perform trend analysis anytime, anywhere via computer or mobile phone, completing the cycle from "data" to "decision-making."

By providing precise localized meteorological and soil data, it directly serves key production processes such as irrigation, fertilization, pesticide application, and disaster prevention. This assists producers in transitioning from relying on experiential judgment to data-driven decision-making, ultimately achieving cost reduction, efficiency improvement, and sustainable industrial development.