Palm Trees Observatory

Palm Trees Observatory provides AI-powered monitoring of date palm health and growth. It combines Earth observation data with artificial intelligence to identify individual date palms and assess their characteristics and health. This tree-level identification supports focused observation of palm condition while also enabling broader analysis of threats affecting date palms.

The solution analyzes how disease spreads and classifies the risk of red palm weevil infestation. It also generates forecasts for pest and disease management, bringing together individual palm identification, health assessment, disease analysis, risk classification, and forecasting in one monitoring solution. Its distinctive approach is the use of Earth observation data and artificial intelligence to examine both the characteristics of individual date palms and the wider progression of pests and diseases.

• Individual palm identification: Identifies individual date palms using Earth observation data and artificial intelligence.
• Health and growth monitoring: Monitors date palm health and growth and assesses palm characteristics.
• Disease spread analysis: Analyzes the spread of disease among date palms.
• Infestation risk classification: Classifies red palm weevil infestation risk.
• Pest and disease forecasting: Generates forecasts for pest and disease management.