Solutions
Smart sensors
Key benefits of Smart sensors (IoT)
Optimisation
Dalys uses advanced machine learning and real-time IoT sensor data to optimize processes—boosting yield, cutting costs, and increasing productivity.
Automation
IoT sensors provide the real-time data trigger for automation. By monitoring conditions, they enable systems to automatically take action or send alerts.
Remote locations
One key advantage of IoT sensors is their ability to be placed virtually anywhere, making them ideal for remote locations. They provide continuous 24/7 monitoring, enabling better decision-making.
Applications of Smart sensors
Agriculture
Precision agriculture can be implemented by advanced IoT sensor technologies for enhanced crop management in diverse settings, either in open fields or in greenhouses. Dalys’ capabilities include:
- Real-time soil condition monitoring 24/7.
- Automated smart irrigation and fertilization.
- AI-powered pest and disease detection.
- Data-driven crop growth and yield forecasting.
- Utilize the Dalys app for immediate, actionable insights.
Smart cities
IoT-powered smart cities can sense, analyze, and respond dynamically to urban challenges, leading to more efficient and sustainable environments. Key benefits include:
- Air quality monitoring: Continuous tracking of pollution levels to improve public health and environmental conditions.
- Traffic & passenger predictions: Data-driven insights to optimize transportation and safety.
- Forecasts by machine learning: Advanced AI models to predict urban trends and enable smarter decision-making.
By integrating IoT sensors, smart cities can be turned into more sustainable urban ecosystems.
Water management
- Detect pH imbalances and heavy metals in water.
- Monitor wastewater discharge to prevent contamination.
- Detect pollution.
- Monitor water pipelines for leakages.
- Implement machine learning models for advanced forecasting or root-cause analysis.
Environmental
Rewilding initiatives are crucial for biodiversity restoration. To effectively monitor these efforts, particularly in remote and protected forest environments lacking traditional infrastructure, Dalys deploys robust IoT sensor networks.
Recognizing soil as a fundamental indicator of ecosystem health, these sensors continuously gather critical data: temperature, moisture, and electrical conductivity, providing biologists with real-time, actionable insights into forest soil conditions. We are advancing this technology by integrating machine learning models to predict and forecast long-term soil health, enabling proactive conservation strategies.
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