Thermal and SWIR imaging from UAVs enables crop stress detection, irrigation assessment, and early disease identification at field scale — delivering actionable data to farm managers days or weeks before problems become visible to the naked eye.
Plant canopy temperature is a reliable early indicator of water stress — stressed crops transpire less and run warmer than healthy neighbors. An LWIR drone survey at dawn reveals thermal anomalies that correspond to irrigation failures, compaction zones, or disease fronts, allowing targeted intervention before yield loss occurs.
Typical Deployments
- Crop stress and irrigation management: LWIR thermal mapping from fixed-wing or multi-rotor drones identifies zones where canopy temperature deviates from the field average — indicating water stress, failed drippers, or soil compaction
- Early disease and pest detection: many fungal infections and pest infestations cause measurable temperature changes before visible symptoms appear; SWIR imaging adds a spectral signature that distinguishes disease stress from drought stress
- Wildfire early detection: thermal cameras on fixed towers or patrol UAVs detect smoldering hot-spots before they develop into open fires, then map the perimeter for suppression crews
- Environmental monitoring: pipeline right-of-way surveillance, oil-spill thermal contrast detection, and water surface temperature mapping for aquatic ecosystems
- Livestock health monitoring: body surface temperature mapping identifies sick animals before clinical signs develop — enabling early isolation and treatment
Module Selection Guide
| Scenario | Module | Key figures |
|---|---|---|
| UAV crop survey & irrigation mapping | SPECTRA L06A (640×512) | ≤300 g with 25 mm lens, 9.1–75 mm lens family |
| Spectral crop & disease analysis | SPECTRA S06A (SWIR) | 0.4–1.7 μm InGaAs, TEC-cooled |
| Combined IR + visible field survey | FUSION LV0625A | Dual-band LWIR + visible on one chip |