Optimizing automatic greenhouses management : The key role of accurate weather forecasts

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Automation and efficiency are at the heart of modern greenhouse management strategies. In an environment as complex and dynamic as greenhouses, where energy and labor costs weigh heavily on profits, the accuracy of weather forecasts becomes a critical success factor. FROGCAST provides weather forecasts that optimize the automatic management of greenhouses, ensuring maximum yields with minimal resource consumption.

Interior view of a modern high-tech greenhouse with rows of crops and automated systems.
Precision climate control. Integrating FROGCAST data allows for fully automated greenhouse strategies, optimizing heating and ventilation while minimizing resource consumption.

Forecast accuracy: A pillar of automation

Greenhouse control systems are designed to automate numerous daily tasks and create an optimal growth environment for plants. These systems enable precise regulation of various environmental parameters such as temperature, humidity, ventilation, irrigation, and CO2 levels.

The effectiveness of these systems largely depends on the accuracy of weather forecasts. By integrating the accurate weather forecasts provided by FROGCAST, these systems can anticipate and adapt to external conditions, thereby optimizing the internal microclimate.

Accurate forecasts allow automated systems to…

🌡️ Optimize temperature

By automatically adjusting heating and cooling systems based on temperature forecasts, plants can be maintained under optimal growing conditions throughout the day.

Bar chart comparing Mean Absolute Error (MAE) of temperature forecasts. FROGCAST (yellow bar) scores 0.57°C, significantly lower than AROME, GFS, and other models, indicating superior accuracy.
With a Mean Absolute Error of just 0.57°C, FROGCAST is 1.5 times more accurate than traditional weather models over the entire Europe-North Africa region, allowing for precise heating and cooling regulation in greenhouses.

🌫️ Manage humidity

Humidity levels can be proactively adjusted to prevent plant diseases and promote healthy development. Accurate forecasts help in planning irrigation and the use of misters or dehumidifiers.

Comparative graph of humidity forecast errors. FROGCAST demonstrates the lowest error rate (3.87%) compared to competitors like ARPEGE and ICON, proving better reliability for disease prevention.
Mean Absolute Error (MAE) of humidity forecasts over the entire Europe-North Africa region. FROGCAST humidity forecasts are 1.42 times more accurate on average. This precision is vital for managing misters and dehumidifiers to prevent fungal diseases.

🍃 Control ventilation

Natural or mechanical ventilation can be optimized based on the predicted weather conditions, ensuring adequate air circulation and the regulation of temperature and humidity.

Bar chart showing wind forecast errors. FROGCAST leads with a low error of 0.64 m/s, beating models like GFS (1.00 m/s) and AROME (1.03 m/s).
Mean Absolute Error (MAE) of wind forecasts over the entire Europe-North Africa region. By being 1.52 times more accurate on wind speed predictions, FROGCAST enables automated greenhouses to optimize natural ventilation windows without risking structural damage.

☀️ Regulate CO2 levels

Forecasts enable the planning of CO2 injection to maximize photosynthesis without wasting resources.

Comparison of Global Horizontal Irradiance (GHI) forecast errors. FROGCAST achieves a low error of 21.02 W/m², outperforming the average of standard weather models.
Mean Absolute Error (MAE) of Global Horizontal Irradiance (GHI) forecasts over the entire Europe-North Africa region. Accurate irradiance forecasts are essential for planning CO2 injection. FROGCAST is 1.10 times more accurate on average, ensuring resources are used only when solar conditions allow efficient photosynthesis.

🌧️ Optimize irrigation

Precipitation forecasts are essential for planning irrigation. By anticipating rainfall, automated systems can adjust watering cycles to avoid overwatering and save water.

Bar chart comparing precipitation forecast errors. FROGCAST shows a dramatic advantage with only 0.07 mm/h error, compared to much higher errors in models like ICON-EU (0.93 mm/h).
Mean Absolute Error (MAE) of precipitation forecasts over the entire Europe-North Africa region. FROGCAST is 5.5 times more accurate than traditional models for rainfall. This massive difference allows for truly optimized watering cycles, avoiding overwatering and saving water.

Benefits of FROGCAST weather forecasts for automated greenhouses

1. Cost Reduction

By using accurate weather forecasts (view the benchmark), automated systems can operate more efficiently. This results in reduced costs associated with energy, water, and labor. For example, by adjusting irrigation to forecasted weather conditions, water waste is avoided, and energy costs associated with irrigation systems are reduced.

2. Improved crop quality and yield

Optimal environmental conditions promoted by accurate forecasts lead to better crop quality and higher yields. Plants grown under precisely controlled conditions are less likely to suffer from environmental stress, resulting in more uniform and higher-quality produce.

3. Risk management

Weather forecasts also help in managing risks related to extreme weather conditions. For example, by anticipating a heatwave, cooling systems can be activated in advance to protect crops. Similarly, during periods of high humidity, preventive measures can be taken to prevent fungal diseases. Moreover, in anticipation of strong wind gusts, structural reinforcements can be implemented to prevent potential damage to the greenhouse.

4. Flexibility and responsiveness

Accurate forecasts provide growers with greater flexibility and responsiveness. Automated systems can be quickly adjusted based on changing weather conditions, allowing for real-time responses to environmental conditions and informed decision-making.

Conclusion

Integrating accurate weather forecasts into the automatic management of agricultural greenhouses represents a major advancement for modern agriculture. It not only improves crop yields and quality but also reduces costs and manages risks more effectively. By leveraging the power of weather forecasts, growers can create optimal and sustainable growing environments, addressing the growing challenges of contemporary agriculture.

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