Project Voxel is a cloud platform that consolidates satellite NDVI data, high‑resolution drone imagery, and real‑time ground sensor measurements to continuously monitor vineyards and specialty crops. It automatically flags emerging stress signals, visualizes spatial variability, and provides analytics for targeted irrigation, fertiliser, and chemical applications, while generating exportable field‑level reports for agronomy decisions and risk assessment.
Funding
Funding not disclosed
Founders
Product
Problem
Vineyard and other specialty crop producers often rely on fragmented data sources and manual scouting, which can delay detection of stress, disease, or nutrient deficiencies and lead to suboptimal input use and yield loss.
Solution
Project Voxel aggregates satellite-derived vegetation indices, high‑resolution drone imagery, and real‑time ground sensor measurements into a single cloud platform. The system continuously monitors fields, automatically flags emerging stress signals, and visualizes spatial variability across defined blocks. Users can compare historical NDVI trends, access live weather and soil moisture data, and add custom annotations such as photos or notes. Integrated analytics support targeted irrigation, fertiliser, and chemical applications, while exportable reports provide objective field‑level evidence for agronomy decisions, risk assessment, and insurance documentation.
Target Audience
The platform is aimed at vineyard owners, specialty crop growers, agronomy consultants, and agricultural insurers who need precise, timely field data to guide management and risk decisions.
Features
- Satellite NDVI and vegetation index monitoring with regular updates, including SAR‑derived soil moisture without reliance on ground stations
- Drone image upload and automated plant health analysis using configurable vegetation indices at centimetre resolution
- Ground sensor integration for real‑time soil moisture, temperature, and canopy microclimate data
- Live weather and climate feeds, including growing degree days, frost tracking, and historical averages
- Smart annotations and automated alerts for disease pressure, rainfall events, and condition changes, plus user‑generated pins and photos
- Block management tools to define and track specific field areas, crop types, varieties, planting years, and soil conditions
- Historical comparison of NDVI and imagery to assess seasonal trends and year‑on‑year performance
- Exportable site reports combining imagery, annotations, and weather summaries for easy sharing and documentation