Our Solutions - Agricultural AI and Drone Sensing Technology
Crop AI, simplified
SWALO is a crop image analysis system that enables a complete workflow — from image capture to AI analysis and result visualization — all in one platform.
Detection examples using pre-trained AI models (expanding to more crops and targets):
Rice (panicles) · Wheat (heads) · Grapes (fruits) · Muscat grapes (fruits) · Strawberries (ripeness)
Rice (Rice-Blast) · Wheat (variant-strains) · Corn (plants) · Eggplants (fruits)
Pre-trained AI Models (Crop AI)
Deploy crop image analysis AI faster with pre-trained models.
We provide models for detecting crops, growth stages, and pest or disease damage. By using them as a baseline and customizing with your own data, you can significantly reduce development time compared to building from scratch.
- Start from a strong baseline
Build on pre-trained models instead of starting from zero, enabling efficient model development.
- Customize with your own data
Fine-tune models using your own datasets to match field conditions and evaluation targets.
- Reduce time and cost
Minimize annotation and training effort to accelerate deployment and operations.
Flight Path Planning (Pathfinder)
A flight path planning application designed for low-altitude drone imaging close to crops.
Easily create optimized flight routes for each field and capture high-resolution, consistent image data.
- Generate routes directly from the controller screen
Capture drone location data from the controller screen and extract it via OCR to generate flight paths without specialized equipment.
- Optimized for low-altitude imaging
Designed for close-range flights, enabling high-resolution imaging that captures subtle differences in crop growth and disease.
- Ensure consistent data capture
Automatically generate routes based on field conditions to reduce variability and ensure reproducible data collection.
Mapping (SWALO Scanner)
Aggregate and visualize AI detection results on a geospatial map.
Gain intuitive insights into field-wide patterns and variability to support crop evaluation and decision-making.
- Automatically aggregate detection results
Organize AI detection outputs into structured data at the field level.
- Visualize field-wide conditions
Map results geospatially to understand distribution and variability at a glance.
- Flexible deployment options
Supports both on-premise and cloud environments to match your data management requirements.
Yield Estimation
From Field to Plant-Level Yield Insights
Estimate yield and crop performance using both drone and smartphone-based image analysis.
From field-wide assessment to plant-level management, SWALO provides flexible yield estimation approaches tailored to your needs.
Field-wide Yield Estimation (SWALO)
Use drone imaging and AI analysis to understand yield distribution and crop conditions across entire fields.
Ideal for field trials and large-scale evaluation.
Plant-Level Yield Estimation (BerryCast)
Analyze fruit counts and ripeness from smartphone videos to predict yield and harvest timing.
Suitable for daily crop management and harvest planning.
