Soil+Weather Station 30ha - Precision Agriculture Monitoring

The SOLARTODO Soil+Weather Station 30ha is an integrated, autonomous monitoring solution engineered for modern, data-driven agriculture. Designed to cover row crop applications across a 30-hectare area, this system provides real-time, hyper-localized data on critical soil and atmospheric conditions. By leveraging industrial-grade sensors, robust LoRaWAN communication, and a powerful AI-driven cloud platform, it empowers growers to optimize irrigation, improve nutrient management, and increase crop yields by up to 25%. The entire system is compliant with key industry standards, including WMO guidelines for meteorological instruments and ISO 11783 (ISOBUS) for agricultural electronics, ensuring data accuracy and interoperability.

Powered by a high-efficiency 10W solar panel and a durable Lithium Iron Phosphate (LFP) battery, the station operates maintenance-free in harsh outdoor environments. It delivers a continuous stream of data, with a standard interval of 10 minutes, enabling precision control and immediate response to changing field conditions. This granular level of insight moves beyond regional weather forecasts, providing actionable intelligence specific to your unique farm topography and soil composition.

At the core of the system is a professional-grade weather station that measures seven key atmospheric parameters. These include ambient temperature, relative humidity, barometric pressure, wind speed and direction, rainfall, and total solar radiation. Data is collected in accordance with World Meteorological Organization (WMO) standards, ensuring scientific-grade accuracy. For instance, the ultrasonic anemometer provides wind speed measurements with an accuracy of ±0.3 m/s, while the tipping bucket rain gauge measures precipitation with a resolution of 0.2 mm.

Crucially, the system calculates real-time Evapotranspiration (ET) rates using the Penman-Monteith equation, a standard endorsed by the Food and Agriculture Organization (FAO). This calculation, which has an accuracy of over 95% compared to lysimeter measurements, provides a precise measure of water loss from the soil and plant surfaces. By understanding exactly how much water is leaving the system, growers can apply precisely the right amount of irrigation, preventing overwatering that leads to nutrient leaching and fungal growth, or underwatering that causes crop stress. This capability alone has been demonstrated to reduce water consumption by over 50% in row crop applications.

The system includes eight multi-depth soil probes, providing a comprehensive, three-dimensional view of the root zone. Each IP68-rated, corrosion-resistant probe measures volumetric water content (VWC) and temperature at four distinct depths: 10 cm, 20 cm, 40 cm, and 60 cm. This multi-layer approach is critical for understanding water infiltration, root activity, and nutrient availability throughout the growth cycle. The sensors measure VWC from 0-100% with an accuracy of ±2%, and temperature from -30°C to 70°C with an accuracy of ±0.5°C.

This detailed soil data enables true precision irrigation. Instead of watering on a fixed schedule, automated irrigation valves can be triggered based on real-time soil moisture thresholds, ensuring water is applied only when and where it is needed. This not only conserves water but also maintains optimal soil conditions for nutrient uptake, leading to healthier plants and higher yields. The probes are powered by an internal battery with a 5-year lifespan and communicate wirelessly, eliminating complex wiring and simplifying installation.

Data from all sensors is transmitted via LoRaWAN (Long Range Wide Area Network), a communication protocol purpose-built for IoT applications. A single LoRaWAN gateway provides coverage over a 10-kilometer radius, capable of supporting over 500 individual sensors. This technology operates in the unlicensed ISM (Industrial, Scientific, and Medical) band, eliminating data subscription fees associated with cellular networks. Its low-power characteristics enable sensor battery life of 5 to 10 years, drastically reducing maintenance overhead.

The SOLARTODO Cloud Platform serves as the central hub for data analysis and decision-making. It features a real-time dashboard for at-a-glance monitoring, historical trend analysis tools, and a powerful AI engine. The AI provides predictive alerts for pest outbreaks based on temperature and humidity patterns, generates irrigation recommendations optimized for crop growth stage, and delivers yield forecasts with increasing accuracy as the season progresses. All data is accessible via a REST API, allowing for seamless integration with existing farm management software (FMS) and other third-party systems. Alerts are delivered instantly via SMS, email, and our dedicated mobile application.