
Soil+Weather Station 30ha - Precision Agriculture for Row Crops
Key Features
- Covers 30 hectares with 8 multi-depth soil probes (10/20/40/60cm) and 1 professional weather station measuring 7 atmospheric parameters
- LoRaWAN connectivity with 10km range, supporting 500+ sensors per gateway for scalable farm-wide monitoring
- Solar-powered autonomy with 10W panels and LFP batteries, providing maintenance-free operation for 5+ years
- AI-driven cloud platform delivers irrigation recommendations, pest predictions, and yield forecasts with 10-minute data intervals
- Proven ROI: 50% water reduction, 30% pesticide savings, and 15-25% yield improvement in row crop applications
Description
In an era where agricultural efficiency and sustainability are paramount, the SOLARTODO Soil+Weather Station 30ha emerges as a pivotal technology for modern row crop farming. Designed to cover an area of 30 hectares, this integrated system provides farmers with a comprehensive, real-time understanding of their field's microclimate and soil conditions. By leveraging the power of the Internet of Things (IoT), advanced sensor technology, and artificial intelligence, this solution empowers data-driven decisions that optimize resource use, reduce operational costs, and enhance crop yield and quality. The system is engineered for robust, long-term deployment in demanding agricultural environments, operating autonomously with a solar-powered design. It addresses the critical need for precise irrigation, nutrient management, and pest control, transforming traditional farming practices into a smart, predictive, and highly efficient operation.
The Soil+Weather Station 30ha is built upon a foundation of cutting-edge technologies designed to deliver actionable insights and operational autonomy. The system integrates a professional-grade weather station measuring 7 key atmospheric parameters with 8 advanced multi-depth soil probes. This dual approach provides a holistic view of the conditions affecting crop health, from the air to the root zone, covering a 30-hectare area with unparalleled detail. Utilizing LoRaWAN (Long Range Wide Area Network) technology, the system ensures reliable data transmission over a radius of up to 10 kilometers. A single gateway can manage over 500 individual sensors, offering a scalable and cost-effective communication backbone that operates on an unlicensed frequency band, minimizing operational costs.
Engineered for maintenance-free operation, each sensor node and the central gateway are powered by a high-efficiency 10W solar panel coupled with a durable Lithium Iron Phosphate (LFP) battery. This configuration guarantees continuous, year-round operation, even in regions with variable sunlight, eliminating the need for grid power and frequent battery replacements. The SOLARTODO Cloud Platform serves as the brain of the operation. It not only provides a real-time dashboard for data visualization but also employs sophisticated AI algorithms. These models deliver precise irrigation recommendations, predict potential pest and disease outbreaks, model crop growth stages, and provide accurate yield forecasts, turning raw data into strategic guidance.
Field deployments have demonstrated substantial economic and environmental benefits. Users typically report up to a 50% reduction in water consumption, a 30% decrease in pesticide and fertilizer application, and a significant yield improvement ranging from 15% to 25%. These efficiencies translate directly into increased profitability and more sustainable farming practices. The system includes 8 soil monitoring probes, providing high-resolution data from the root zone. Each probe measures volumetric water content (VWC) and temperature at four distinct depths: 10cm, 20cm, 40cm, and 60cm. This layered data allows for precision irrigation that targets specific root depths. The probes are IP68 rated, ensuring complete protection against water and dust ingress. They are built from corrosion-resistant materials to withstand harsh soil environments and fertilizer applications, with each probe powered by an internal battery with a lifespan of over 5 years.
Data from all sensors is transmitted wirelessly to a central LoRaWAN gateway. This gateway acts as a bridge, securely relaying the collected data to the SOLARTODO Cloud Platform via a cellular or Ethernet connection. A single gateway can support hundreds of sensors across a 10km radius, making it an incredibly scalable solution for large-scale farms. The system features data retransmission capabilities, ensuring no data is lost even if the network connection is temporarily interrupted. Sensors collect data at a default interval of 10 minutes, which is configurable from 1 to 60 minutes to suit specific monitoring needs. This high-frequency data is transmitted to the cloud, where it is processed and analyzed in real-time. The user-friendly web and mobile dashboard provides intuitive visualizations of all current and historical data. Farmers can view trend charts, heatmaps of their fields, and detailed reports at the click of a button.
The platform can be configured to send instant alerts via SMS, Email, or a dedicated mobile app when critical thresholds are breached (e.g., low soil moisture, frost risk). Furthermore, it can integrate directly with automated irrigation systems, using REST API calls to control valves and pumps based on real-time data, enabling a fully autonomous irrigation cycle. A comprehensive REST API is included with the standard cloud tier, allowing for seamless integration with existing Farm Management Information Systems (FMIS), ERPs, and other third-party platforms. The Soil+Weather Station 30ha is specifically optimized for row crops. Its capabilities are ideally suited for managing large, uniform fields of crops such as corn, soybeans, wheat, cotton, and sunflowers. The multi-depth soil probes provide critical insights into the water uptake patterns of these deep-rooted crops, while the weather station helps in planning field activities like planting, spraying, and harvesting.
Technical Specifications
| Coverage Area | 30hectares |
| Monitoring Types | Weather + Soil |
| Total Soil Sensors | 8probes |
| Weather Parameters | 7parameters |
| Soil Sensing Depths | 10/20/40/60cm |
| Communication Protocol | LoRaWAN |
| Communication Range | 10km |
| Power Supply | Solar 10W + LFP Battery |
| Data Interval | 10minutes |
| Configurable Interval Range | 1-60minutes |
| Cloud Platform Tier | Standard |
| Alert Channels | SMS + Email + App |
| API Access | REST API |
| Sensor Battery Life | 5+years |
| Ingress Protection | IP68 |
| Operating Temperature | -40 to 80°C |
| Soil Moisture Range | 0-100% |
| Soil Moisture Accuracy | ±2% |
| Temperature Accuracy | ±0.2°C |
| Hardware Warranty | 2years |
| Cloud Subscription Included | 1year |
Price Breakdown
| Item | Quantity | Unit Price | Subtotal |
|---|---|---|---|
| Weather Station (Standard 7-parameter) | 1 unit | $450 | $450 |
| Soil Moisture & Temperature Sensor (4-depth) | 8 pcs | $80 | $640 |
| LoRaWAN Gateway | 1 unit | $450 | $450 |
| Solar Power Kit (10W micro system) | 9 units | $80 | $720 |
| Cloud Platform Standard (per device/year) | 9 devices | $12 | $108 |
| Installation & Training Service | 1 system | $500 | $500 |
| Mounting Hardware & Cables | 1 set | $200 | $200 |
| Weatherproof Enclosures & Accessories | 1 set | $182 | $182 |
| Total Price Range | $3,500 - $5,000 | ||
Frequently Asked Questions
What is the effective coverage area of a single Soil+Weather Station 30ha system?
How complex is the installation process? Can I do it myself?
What kind of ongoing maintenance is required for the system?
Can the data from this system be integrated with my existing farm management software?
How exactly does the system help in achieving up to 50% water savings?
Certifications & Standards
Data Sources & References
- •IEC 61215:2016 - Terrestrial photovoltaic modules design qualification
- •UL 1703:2014 - Flat-Plate Photovoltaic Modules and Panels
- •ISO 11783:2018 - Tractors and machinery for agriculture serial control
- •WMO-No. 8:2018 - Guide to Meteorological Instruments and Methods of Observation
Project Cases


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