Predictive Modeling for Powdery Mildew in Piedmont Vineyards
A longitudinal study utilizing neural networks and local humidity sensors to predict fungal outbreaks 7 days before visual symptoms appear.
View Case StudyAdvancing Viticulture Through Data Science
The Science Behind the Harvest. Explore our research initiatives, white papers, and breakthroughs in predictive analytics for Mediterranean agriculture at Agrotech Intelligence.
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Our Published Research & White Papers
AI-Enhanced Soil Nutrient Mapping for Sangiovese Grapes
Integrating multispectral satellite imagery with ground-truth soil samples to optimize nitrogen distribution across complex terrain.
View Case StudyA Comparative Study of Microclimate Frost Prediction Models
Evaluating high-resolution thermal mapping for early frost warning systems in the Alpine foothills of Northern Italy.
View Case StudyDrone-based Canopy Analysis for Water Stress in Sicilian Vineyards
Leveraging thermal infrared sensors to map viticultural water stress and automate drip-irrigation schedules in arid climates.
View Case StudyPredictive Phenology
Advanced modeling of grape development stages including bud break and harvest windows against non-linear climate fluctuations.
Computer Vision Detection
Proprietary neural networks trained to identify Esca and Flavescence dorée symptoms from high-altitude aerial photography.
Water & Soil Sustainability
Preserving terroir legacy through algorithmic irrigation strategies that reduce water waste by up to 40%.
Yield Prediction Analytics
Forecasting harvest tonnage with 95% accuracy by blending historical yields with in-situ biometric sap flow sensor data.
Collaborating with Industry Leaders
Our research is grounded in scientific rigor and real-world application, reinforced by strategic partnerships with leading Italian agricultural research institutes and European innovation clusters.
Lead Researcher
Bilboc Candigliota
Senior Data ScientistInnovation Council
Azimul Jukić
Agricultural Specialist"Agrotech Intelligence bridged the gap between our centuries-old traditional methods and the predictive power required for a warming climate."
— Cercea Wiltshire