Six-banded armadillo
A burrowing mammal, mostly active at dusk and at night; its burrows can locally soften soil firmness.
Animals of the Caatinga: semi-arid wildlife and the agricultural robot's operational safety
Wildlife and operational safety
TRL 5 prototype · under validation
The Caatinga is home to a diverse wildlife adapted to Brazil's semi-arid region — from armadillos and deer to reptiles and birds, plus the cattle that share the same pasture on most properties. For an agricultural robot, this isn't scenery: it's one of the real factors that shape how navigation and implements need to behave in open field.
Biome species
Animals of the Caatinga
A general, non-exhaustive picture of common groups in Brazil's semi-arid region. Presence and behavior vary by region, season and local hunting or deforestation pressure.
Gray brocket deer
A small, discreet deer that moves through dense vegetation and can cross a path suddenly.
Rock cavy
A small rodent common on Caatinga ground, usually in groups, with fast and unpredictable movement.
Red-legged seriema
A large ground bird that walks more than it flies and tends to cross open areas between vegetation.
Reptiles (rattlesnakes, tegu lizards)
Venomous snakes and lizards are part of the biome; they call for safe distance and extra attention in dense vegetation and rocky ground.
Cattle under extensive grazing
Cattle and goats share the land with crops and pastures on most semi-arid properties — the most frequent dynamic obstacle in practice, not the most exotic one.
General sources: IBGE — Biomes and IBGE Educa — Brazilian biomes.
Technical criterion
Wildlife is not a static obstacle
A rock or a post stays put; an animal doesn't. The difference between detecting a fixed object and reacting to a living being in motion is central to any agricultural navigation system — and this exact kind of dynamic obstacle is what most challenges computer vision and the robot's ability to stop in time.
That's why the presence of wildlife isn't a scenic detail: it's an operational parameter, with direct weight on safe speed, braking distance and stop criteria.
From animal to technical response
What to assess before operating near wildlife
The matrix organizes questions for technical assessment. It does not represent guaranteed performance or obstacle detection validated for every scenario.
| Observed situation | Possible impact | Parameter to assess | Technical response |
|---|---|---|---|
| Cattle grazing in the work area | Path crossing, unplanned stop | Herd density, minimum safe distance | Dynamic obstacle detection under validation |
| Wild animal crossing the path | Sudden swerve or collision | Operating speed, braking distance | Supervised operation; manual stop available |
| Burrow or nest in the area | Ground subsidence, implement or nest damage | Prior area survey, terrain irregularity mapping | Field survey before any trial |
| Reptiles in dense vegetation | Risk to manual maintenance and inspection | Vegetation height, PPE use, approach protocol | Operator safety procedure |
| Low light (dusk/night) | Reduced visual detection capability | Lighting, operating hours, camera limits | Current daytime operation; night sensing is a future goal |
Task and tool
Wildlife also affects the implement
Safe mobility and task execution need to consider who else occupies that space.
1.25 m mower
Denser vegetation tends to shelter burrows and nests; a prior area survey and blade height adjustment are part of the protocol before any mowing trial.
Learn about the between-row mower →Trellis and arbor sprayer
Drift and application timing are also assessed in relation to pollinating wildlife and animals present in the crop area.
Learn about the sprayer →Sensing and safety stop
Dynamic obstacle detection, including wildlife, still depends on sensors and specific validation before any use without direct supervision.
See modules under development →Brand origin
A territory with people, wildlife and machines
The name Caatinga Robotics comes from the territory where the project was born — and that territory isn't empty. It's home to farmers, to cattle under extensive grazing, and to native wildlife adapted to drought. A robot designed for this environment needs to be built to coexist with all of them, not just to move across a landscape.
This is also why field validation, not just bench testing, is indispensable: animal behavior is one of the hardest variables to simulate outside the real property.
Environment-driven demonstration
Assess my area's conditions
Assess my area's conditions
Tell us about your crop, terrain, local wildlife and repetitive task for an initial demonstration or test-area assessment.