
Vineyard Precision 50ha - AI-Powered Disease Detection & Climate Monitoring
Key Features
- Professional weather station with 10 high-precision sensors (temperature, humidity, wind, rainfall, solar radiation, ET) compliant with WMO standards for hyperlocal meteorological data
- AI-powered volumetric spore trap with microscopic imaging for direct detection of downy mildew, powdery mildew, and botrytis spores with 95% prediction accuracy
- 20 multi-depth soil moisture and temperature probes measuring at 4 layers (10/20/40/60cm) with ±2% VWC accuracy for precision irrigation management
- LoRaWAN communication with 10km range covering 50 hectares, supporting 500+ sensors with 5-10 year battery life and zero cellular data fees
- 80W solar power system with LFP battery providing 7+ days autonomous operation, compliant with UL 1703 and IEC 61215 standards
Description
The SOLARTODO Vineyard Precision 50ha system represents a paradigm shift in viticultural management, leveraging a sophisticated network of Internet of Things (IoT) sensors and artificial intelligence to deliver unparalleled agronomic intelligence. Designed for vineyards spanning up to 50 hectares, this integrated solution provides real-time, hyperlocal data on critical environmental variables, enabling data-driven decision-making that optimizes resource use, mitigates disease risk, and enhances grape yield and quality. By transitioning from traditional, calendar-based practices to a responsive, data-centric model, growers can achieve significant improvements in operational efficiency and sustainability. The system's architecture is built upon industry-leading standards, including ISO 11783 (ISOBUS) for agricultural electronics communication, ensuring seamless integration with existing farm machinery and management platforms. With a typical data reporting interval of 10 minutes, the platform offers a granular view of vineyard dynamics, capturing subtle changes that are imperceptible to the human eye but critical for proactive management. This high-frequency data stream empowers growers to reduce water consumption by up to 50% and pesticide applications by 30%, directly contributing to a more profitable and environmentally responsible operation.
At the core of the Vineyard Precision 50ha system is a professional-grade weather station, engineered to meet the rigorous standards of the World Meteorological Organization (WMO). This unit provides comprehensive, real-time meteorological data with a high degree of accuracy, forming the foundation for disease prediction, irrigation scheduling, and crop modeling. The station is equipped with a suite of ten high-precision sensors measuring: ambient temperature, relative humidity, barometric pressure, wind speed and direction, liquid precipitation (rainfall), solar radiation, and calculated evapotranspiration (ET). The solar radiation sensor, compliant with IEC 60904 standards for photovoltaic devices, measures the full spectrum of sunlight, providing critical data for calculating photosynthetic activity and heat stress. The anemometer and wind vane provide data crucial for planning spray applications, minimizing drift and maximizing efficacy. All sensor housings are constructed from UV-stabilized, corrosion-resistant materials rated to IP67, ensuring reliable operation for over a decade in harsh outdoor environments. The station's data is transmitted every 10 minutes via a robust LoRaWAN connection, providing a continuous, high-resolution dataset that powers the system's advanced analytical models.
The system's most innovative feature is its proactive disease monitoring capability, which moves beyond simple prediction to direct pathogen detection. The cornerstone of this module is the AI-powered volumetric spore trap. This device continuously samples ambient air, capturing airborne fungal spores on a specialized substrate. An integrated microscopic imaging system, coupled with a proprietary AI-based image recognition algorithm, automatically identifies and quantifies spores of key vineyard pathogens, including Plasmopara viticola (downy mildew), Erysiphe necator (powdery mildew), and Botrytis cinerea. This provides a direct, quantitative risk assessment, often detecting infection pressure 2-3 days before traditional models or visual scouting. Complementing the spore trap are 20 strategically placed leaf wetness sensors. These sensors mimic the surface of a grape leaf, providing precise measurements of leaf wetness duration—a critical parameter for fungal spore germination. The data from the spore trap and leaf wetness sensors are correlated with hyperlocal weather data to generate highly accurate, site-specific infection risk alerts with a 95% prediction accuracy, allowing for precisely timed, targeted fungicide applications that can reduce chemical use by over 30% while preventing catastrophic crop loss.
Effective irrigation and nutrient management are critical for producing high-quality wine grapes. The Vineyard Precision 50ha system provides unprecedented insight into the root zone environment through a network of 20 multi-depth soil moisture and temperature probes. These IP68-rated, corrosion-resistant probes are inserted into the ground to measure volumetric water content (VWC) and temperature at four distinct depths: 10, 20, 40, and 60 cm. This layered data provides a complete profile of water infiltration and root activity, preventing both over-irrigation, which can lead to root disease and water wastage, and under-irrigation, which causes vine stress and reduced berry size. The sensors provide VWC readings from 0-100% with an accuracy of ±2% and temperature from -30°C to 70°C. This real-time data feeds directly into the SOLARTODO Cloud Platform, which uses an AI-driven crop growth model to provide precise irrigation recommendations. The system can be integrated with automated irrigation valve controllers via its REST API, enabling a fully autonomous, closed-loop precision irrigation system that has been demonstrated to reduce water usage by up to 50% compared to scheduled irrigation, while improving grape uniformity and quality.
Reliability is paramount in agricultural monitoring. The Vineyard Precision 50ha system is engineered for autonomous, long-term operation in remote locations. All sensors and the central gateway are powered by a medium-sized 80W solar power system, compliant with UL 1703 and IEC 61215 standards for photovoltaic module safety and performance. This system includes a high-efficiency monocrystalline solar panel and a durable Lithium Iron Phosphate (LFP) battery bank, providing a minimum of 7 days of autonomous operation without any solar input, ensuring continuous data collection even during extended periods of inclement weather. Communication is handled by a state-of-the-art LoRaWAN (Long Range Wide Area Network) gateway. A single gateway provides coverage for a radius of up to 10 kilometers, easily encompassing the 50-hectare operational area and supporting over 500 individual sensors. LoRaWAN operates on an unlicensed ISM band, eliminating cellular data fees, and its low-power characteristics enable individual sensor nodes to operate for over 5 years on a single battery. The gateway aggregates data from all 20 sensors and securely transmits it to the cloud platform, with on-board data buffering to ensure no data is lost during temporary network outages.
The SOLARTODO Cloud Platform serves as the central brain of the Vineyard Precision 50ha system. Accessible via any web browser or a dedicated mobile application, the platform provides a real-time dashboard with an intuitive map-based visualization of the entire 50-hectare vineyard. Users can drill down to view live and historical data from every sensor, with customizable charts and trend analysis tools. The platform's AI engine synthesizes the multi-layered data—weather, soil, and disease—to provide actionable insights and predictive alerts. Key AI features include a crop growth stage model, yield forecasting based on historical and real-time data, and pest outbreak predictions. When the system detects a high risk of a disease infection event or critical soil moisture thresholds being crossed, it automatically dispatches alerts to the grower via SMS, email, and in-app push notifications. The platform's REST API allows for seamless integration with third-party farm management software (FMS), enabling data to flow directly into existing workflows and supporting a holistic approach to vineyard management. The Professional Cloud Tier included with this package provides unlimited data storage, advanced analytics, and premium support.
Technical Specifications
| Coverage Area | 50hectares |
| Monitoring Types | Weather, Soil, Disease |
| Total Sensors | 20sensors |
| Weather Station Type | Professional 10-parameter |
| Soil Probe Depths | 10, 20, 40, 60cm |
| Disease Detection | AI Spore Trap + Leaf Wetness |
| Disease Targets | Powdery Mildew, Downy Mildew, Botrytis |
| Communication | LoRaWAN (10km range) |
| Power Supply | Solar 80W + LFP Battery |
| Autonomous Operation | 7+days |
| Data Interval | 10 (configurable 1-60)minutes |
| Cloud Platform | Professional Tier |
| Alert Channels | SMS + Email + App Push |
| API Access | REST APIIncluded |
| Sensor IP Rating | IP67/IP68 |
| Sensor Battery Life | 5-10years |
| Hardware Warranty | 2years |
| Cloud Service Warranty | 1year |
Price Breakdown
| Item | Quantity | Unit Price | Subtotal |
|---|---|---|---|
| Professional Weather Station (10 sensors) | 1 pcs | $1,500 | $1,500 |
| AI Spore Trap (volumetric with microscopy) | 2 pcs | $2,500 | $5,000 |
| Leaf Wetness Sensor | 5 pcs | $120 | $600 |
| Soil Moisture & Temperature Probe (4-depth) | 13 pcs | $580 | $7,540 |
| LoRaWAN Gateway | 1 pcs | $450 | $450 |
| Solar Power Kit (80W medium) | 20 pcs | $300 | $6,000 |
| Cloud Platform Professional (per device/year) | 20 pcs | $48 | $960 |
| Installation & Training Service | 1 pcs | $500 | $500 |
| Total Price Range | $16,000 - $23,000 | ||
Frequently Asked Questions
How difficult is the system to install and maintain?
Can the system be customized for different vineyard sizes or monitoring needs?
How is my data protected and who owns it?
What is the expected Return on Investment (ROI)?
How does the AI disease detection work and how reliable is it?
Certifications & Standards
Data Sources & References
- •ISO 11783 ISOBUS Agricultural Electronics Communication Standard
- •World Meteorological Organization (WMO) Weather Station Guidelines 2025
- •IEC 61215:2021 Terrestrial Photovoltaic Modules - Design Qualification
- •IEC 60904 Photovoltaic Devices - Part 2: Requirements for Reference Solar Devices
- •UL 1703 Standard for Safety Flat-Plate Photovoltaic Modules and Panels
- •LoRaWAN 1.0.4 Regional Parameters Specification
Project Cases


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