Greece 2.0 — Funded by the European Union, NextGenerationEU
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EdenCore
An orchard canopy shown alongside a color-coded visualization
SERVICES & SOLUTIONS

Vigor & Disease Mapping

As a seasonal monitoring tool, Vigor and Disease Mapping uncovers growth patterns and hidden risks early on, giving you the lead time you need to act with confidence.

  • Tree-level vigor mapping
  • Accurate vigor index score. Better than NDVI
  • Disease recognition through rigorous data collection and AI model training
  • Anomaly detection alerts
  • Evaluate damage using preview images and reduce treatment downtime
The EdenCore Viewer crop monitoring device

Enhance Crop Protection with Viewer's Vigor & Disease mapping

Vigor Mapping

Vigor Mapping: a per-tree orchard map with a vigor score ranging from 0 to 100
  • A per-tree index of vegetative mass
  • Based on canopy volume, density, and growth patterns
  • Correlates with tree health, nutrient uptake, and productivity
  • Facilitates zone-specific management and early stress detection

Disease Mapping

Disease Mapping: detected symptoms highlighted in a grapevine canopy
  • Uses AI and high-resolution imagery to scan every tree
  • Identifies infection zones for targeted treatment
  • Rigorous data collection combined with farmer assistance results in tailored AI models
  • Helps prevent spread and disease outbreaks
  • Supports timely, data-driven plant protection decisions
Clusters of ripening pistachios and green leaves on a tree
Grapes ripening on the vine

Understanding the complexities

  • There are no “silver bullets” against crop enemies, and digital solutions should not interfere with field-proven practices in pest management.
  • Agronomic expertise and farmers’ experience are the bedrocks of healthy crops, so humans are always part of the decision-making process.
  • Symptoms cross-validation by experts is a “must”.

AI-powered technology

  • Image recognition technology can analyse instances of trees, leaves, and fruits faster and more frequently than typical human inspections.
  • Millions of field images are used for training AI models, with the mission to detect anomalies.
  • Using data collected from specific fields of interest increases the detection performance.

Designed for fruit growers

  • Viewer scans the visible outer part of the canopy for all types of fruit trees. Ideal for 2D-style training systems.
  • Using the lighting systems during hours with low sunlight intensity results in crystal clear imaging.
  • More data = Better results. Scanning your field frequently generates more training data for field-specific AI models.
Curious about the best solutions for your farm and how Viewer technology can be implemented into your daily tasks?
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