Sensing+ for Agriculture is an integrated microclimate sensing and predictive analytics system designed to empower growers with precise, real-time data and seven-day forecasts tailored to their specific farm conditions. By combining on-farm sensors with advanced data analytics, Sensing+ delivers actionable insights that enhance decision-making across key agricultural activities, including planting, irrigating, feeding, protecting, and harvesting.
Key Features and Functionality:
- Comprehensive Microclimate Monitoring: Measures critical environmental factors such as temperature, rainfall, leaf wetness, humidity, soil temperature and moisture, wind speed and direction, photosynthetically active radiation, total solar radiation, and air pressure.
- Advanced Predictive Analytics: Utilizes artificial intelligence to provide highly localized seven-day forecasts, enabling growers to anticipate and plan for upcoming weather conditions.
- User-Friendly Applications: Offers intuitive mobile and web applications that present complex data in an accessible format, allowing growers to visualize current conditions, forecasts, and historical data effortlessly.
- Automated Data Collection and Analysis: Continuously records and analyzes data, with machine learning models that improve prediction accuracy over time.
- Customizable Alerts and Notifications: Enables growers to set specific conditions for alerts, such as wind speed thresholds, to optimize operations like spraying and irrigation.
Primary Value and Problem Solving:
Sensing+ addresses the challenges of managing microclimate variability by providing growers with precise, localized data and forecasts. This empowers them to make informed decisions that optimize resource use, enhance crop yields, and reduce operational risks. By offering a comprehensive, end-to-end solution that includes hardware installation, data analysis, and user-friendly applications, Sensing+ simplifies the adoption of advanced agricultural technology, ensuring that growers can focus on their core activities with confidence in their decision-making processes.