Management software

monitoringmappingcrop disease

Overview
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.

Key capabilities

• 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

Enhance crop protection with Viewer

• 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 details

• 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

Understanding the complexities

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

AI-powered technology

• Image recognition analyses trees, leaves, and fruits faster and more frequently than typical human inspections
• Millions of field images are used to train AI models for anomaly detection
• Using data collected from specific fields of interest increases 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 lighting systems during hours with low sunlight intensity yields clearer imaging
• Frequent scanning generates more training data for field-specific AI models

Technical specifications

• Per-tree vigor index (vegetative mass)
• Vigor index computed from canopy volume, canopy density, and growth patterns
• Vigor index claimed to outperform NDVI
• Disease detection via AI models trained on millions of field images
• Anomaly detection and alerting capability
• Infection zone identification to enable targeted treatments
• Supports preview-image based damage evaluation to reduce treatment downtime
• Designed for 2D canopy scanning and suitable for all types of fruit trees
• Requires agronomic expert cross-validation and integrates farmer-assisted data collection for tailored models
• Intended to support zone-specific management and early stress detection