Agribusiness

Farm management software: field operations, decided every morning

What needs inspecting and who's going to do it, decided every morning with the day's report.

Let's model your operation
The starting point

The field changes every day; a workflow written six months ago doesn't.

The field changes every day: it rains, a pest shows up early, a worker is missing. A workflow written six months ago can't keep up with that pace. What you need isn't a workflow, it's a definition of the work that reassigns itself when the context changes.

Capsules

Your information

The things that exist in your business, each one in a single place.

Plot

Coordinates, area and active crop.

Crop

Variety, growth stage and safety intervals.

Harvest lot

Weighing, quality and traceability.

Field crew

People, licenses and availability.

Machinery

Drones, tractors, battery and hours.

States

Your stages

Each stage stops being a label and starts carrying its own rules.

Inspection pending

Time limit
The crop's growth-stage window.
Entry / exit triggers
Enters on schedule or from a sensor alert; exits with images or a field report.
Data validation
The plot has coordinates and an assigned crop.
Dynamic permissions
Agronomist.

Flyover scheduled

Time limit
Only with wind below the flight threshold.
Entry / exit triggers
Enters with a drone available and enough battery; exits with the flight completed.
Data validation
Flight plan approved and airspace clear.
Dynamic permissions
Certified pilot.

Treatment in progress

Time limit
The safety interval of the product applied.
Entry / exit triggers
Enters with an inspection that flagged an issue; exits with the treatment recorded.
Data validation
Product, dose and prescription recorded.
Dynamic permissions
Applicator with a valid license.

Lot closed

Time limit
48 hours from harvest.
Entry / exit triggers
Enters with the weighing recorded; exits with the lot released.
Data validation
Full traceability back to the plot.
Dynamic permissions
Quality manager.
Glup · Aimee

Who does the work

The same work, split between people, agents and machines depending on the moment.

  • MachineMapping drone
  • MachineSelf-driving tractor
  • HumanField crew
  • ServiceWeather station
  • AI agentAimee
How it works, with your case

Fourteen plots to inspect and a fog forecast

  1. 01

    Entry

    A plot enters «Inspection pending» when its window opens.

    Plot
  2. 02

    Trigger

    The stage wakes Glup up without anyone opening the app.

    Glup
  3. 03

    Context

    Aimee cross-checks the weather report, the pending plots and who's free.

    Aimee
  4. 04

    Delegation

    With light wind, the drone goes. With fog, the field crew already in that area.

    Drone or crew
  5. 05

    Close

    The images go back to the record and, if there's an issue, «Treatment in progress» opens.

    Glup

What changes

How it works today

The agronomist plans the day's route over messaging apps and redoes it from scratch every time the weather changes.

How it works with Astrolle

The route redoes itself when the forecast changes. The agronomist validates exceptions instead of handing out tasks.

AI isn't here to replace your team

It's here to decide who handles what, and when, so people keep the part only they can do: judgment, relationships and exceptions.

Let's model your operation

Change industry

Don't see yours? It works the same way. Write to us and we'll look at your specific case. Let's talk about your case

The next step starts here

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