Crop Growth & Health Monitoring for Precision Management

Feiyan enables precision farming via the Swift4D Platform, analyzing time-series satellite and AIMS multi-modal data, complemented by Y-1 UAV cm-grade imagery. It enables early detection of water stress, nutrient deficiencies, and diseases to support variable-rate application and optimized inputs.

Our Differentiated Solution Framework

Built on Swift4D, the framework integrates wide-area surveillance, targeted inspection, and intelligent decisions:

Multi-Source Time-Series Acquisition: AIMS captures imagery, hyperspectral, and LiDAR in one flight; combined with multi-temporal satellite and "Farsight" system (covering 3,000 km²) for integrated space-air-ground monitoring.

Spectral Intelligence: Analyzes phenological spectral signatures to retrieve crop growth, water/nutrient status, and early stress/disease indicators.

SwiftAI Health Diagnosis: Generates health distribution maps and variable-rate prescription maps; rapidly identifies stripe rust, rice blast; predicts maturity and yield per field to guide harvesting and resource allocation.

Dynamic Multi-Temporal Comparison: Tracks growth trends, integrates weather/soil data, forming a "monitoring–analysis–decision–evaluation" closed loop.

Application Scenarios & Client Value

Application Scenarios

Full-cycle growth monitoring and health assessment

Early stress/nutrient detection for variable irrigation and fertilization

Early warning and precision control of diseases (stripe rust, rice blast)

Maturity prediction and yield estimation

Insurance underwriting and loss assessment

Client Value

Early Intervention: Detection shifted to spectral anomalies, minimizing yield losses.

Cost Efficiency: Variable-rate inputs reduce waste and costs.

High Coverage: Single system covers 3,000 km²; cycles shortened from months to days.

Data-Driven: Multi-source fusion enables full-cycle scientific decisions.