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Sharpsat

Sharpsat provides a satellite-based vineyard monitoring platform that helps winegrowers detect crop stress and diseases like Downy Mildew early. The service combines Earth Observation imagery with AI-driven analytics to deliver plant health and hydration indicators, enabling targeted interventions and reduced chemical use. The platform displays stress areas directly on vineyard maps, supporting time-based visualization and navigation between non-adjacent plots.

Traction 2/10
Bremen, Germany · HQ
Founded 20233100+ followers
  • Agriculture Technology
  • Space Technology
  • Data & Analytics
  • Artificial Intelligence
  • Software Only
Updated 14 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional vineyard monitoring relies on manual scouting and uniform treatment applications, which are time-consuming, imprecise, and often result in unnecessary chemical use. Winegrowers lack timely, field-level data on plant stress and disease presence, making it difficult to target interventions only where and when they are needed.

Solution

Sharpsat combines Earth Observation satellite imagery with machine learning to deliver a user-friendly web platform that monitors vineyard health and detects diseases early. The platform supports farmer decisions by displaying areas of stress directly on the vineyard map, allowing time-based visualization and easy navigation between non-adjacent vineyard plots. It provides a Plant Health Indicator based on NDVI maps, ranging from vibrant green to cautionary red, to vividly illustrate crop health status. A Hydration Plant Indicator is also offered through a comprehensive Moisture Map to help farmers manage irrigation effectively. The solution aims to reduce overall treatments by enabling targeted, data-driven interventions.

Target Audience

Primary customers are winegrowers and vineyard managers seeking precision agriculture tools, as well as agritech professionals and winemakers looking to adopt sustainable crop monitoring practices.

Features

  • Plant Health Indicator based on NDVI (Normalized Difference Vegetation Index) maps showing crop health from green to red
  • Hydration Plant Indicator with comprehensive Moisture Maps for irrigation management
  • AI-powered Downy Mildew Detection and Prediction Map with predictive analytics for targeted preventative measures
  • Direct display of stress areas on vineyard maps with time-based visualization
  • Easy navigation between non-adjacent vineyard plots within a single interface
  • Satellite-based Earth Observation technology combined with AI-driven analytics, with maps updated every few days
This profile is AI-generated and may contain inaccuracies.