Crop Type Classification
SeasonalAI-powered crop type identification using Landsat-8/9 multi-spectral imagery for farm setup validation and regional agricultural monitoring.
Update Frequency
Seasonal
Spatial Resolution
30m
Data Source
Landsat 8/9
Accuracy
85-95%
Crop Type Map
AI-classified crop types from Landsat satellite imagery
Interactive crop classification map
Machine learning-powered identification
Classification Technology
Advanced machine learning algorithms analyze multi-spectral signatures to identify crop types with high accuracy.
Detectable Crops:
- Staple crops: Wheat, Corn, Rice, Soybeans
- Specialty: Almonds, Grapes, Coffee
- Regional: Cassava, Millet, Quinoa
- Cover crops and fallow land
Agricultural Applications
Crop type data enables regional planning and farm management optimization.
Use Cases:
- Farm setup validation
- Regional crop diversity analysis
- Crop rotation planning
- Market supply forecasting
- Insurance verification
Classification Insights
- •Classification accuracy improves with multiple observations throughout growing season
- •Different crops have unique spectral signatures at various growth stages
- •Combine with ground truth data for validation and accuracy improvement
- •Use historical data to track crop rotation patterns and trends
Validate Your Farm Setup
Use crop type data to optimize your farm configuration and planning