Melvine is an automatic weather station and companion mobile app built for precision and digital agriculture, providing field-level meteorological monitoring and disease forecasting so growers can make timely, data-driven decisions. The system collects, processes and displays parameters from sensors placed in the field—temperature, precipitation, wind, solar radiation, relative humidity and soil moisture—and feeds that information into crop-specific disease models to warn about the likely onset, intensity and duration of pest or disease attacks. Melvine helps optimize crop choice, cultivation techniques and the timing of protection measures to save inputs, time and energy.
Key Features
⭐ Real-time collection of meteorological parameters from field sensors, including temperature, precipitation, wind, solar radiation, relative humidity and soil moisture.
⭐ On-site data processing and clear display of current and recent weather conditions through the mobile application.
⭐ Melvine's crop-specific disease forecast models record weather patterns and indicate the moment or likelihood of disease occurrence, plus expected intensity and duration.
⭐ Actionable recommendations for protection timing based on model outputs, helping to plan agrotechnical operations more precisely.
⭐ Packaged solution that pairs a physical station with mobile software to deliver localized microclimate analytics for each site.
Advantages
✅ Helps reduce unnecessary or mistimed protection by indicating when treatments are actually needed, rather than applying them on a fixed schedule.
✅ Improves decision-making for crop selection and cultivation technologies by revealing site-specific microclimatic conditions.
✅ Supports resource savings—time, materials and energy—by enabling targeted interventions based on weather and disease risk.
✅ Addresses a common production risk: on average 35% of crop destruction is linked to late protection, and Melvine aims to minimize such losses through timely alerts.
Disadvantages
❎ Requires installation and maintenance of field sensors to supply accurate, continuous data.
❎ Effectiveness depends on the availability and coverage of disease models for the specific crops grown at each site.
