Before the robot enters the field, the task needs to be clear
Agricultural planning means choosing the next action based on priority, area, operating window, implement and real terrain condition.
In Caatinga Rover's vision, the digital layer can support activity preparation: which area will be worked, which task will be prioritized, which implement will be assessed, and what data needs to be recorded during execution.
From objective to record
The operation becomes clearer when each step has an objective question.
- 1What's the problem?
Mowing, spraying, transport, monitoring or another repetitive task.
- 2Where to operate?
Area, crop row, slope, vegetation, obstacles and access.
- 3How to validate?
Parameters to observe: time, task quality, safety, consumption and record.
- 4What to learn?
Compare execution, limitations and opportunities for the next round.
Planning also guides speed and navigation
Working speed shouldn't be set just by the wish to finish quickly. It depends on vegetation, soil, slope, implement, safety and supervision.
That's why the digital layer connects to the modular agricultural implements page.
The first planning tool is already the simulator
Before any complete planning layer, Caatinga Rover's configurator already fulfills part of that function today.
By entering application, crop, approximate area, soil type, vegetation density and terrain condition, the configurator returns a "Scenario hypothesis": hectares per hour, working hours per day, estimated autonomy and days needed for the informed area. It's real planning, calculated with traction and energy physics — not a generic form.