Legacy28 AIIntelligence for working land
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Case studies

Every input placed by evidence, not habit.

Fertiliser, water and field work cost the same whether the ground needs them or not. Precision agriculture on the platform means each decision starts from what the field, the soil and each tree are actually showing.

03

Precision agriculture

The field tells the rate.

The field is read in detail, the soil is known by depth, and every recommendation shows the map and the date it came from. What changes is only who is holding the decision.

01

For crop farmers

Nitrogen goes where the crop can turn it into yield and is spared where it would run off or burn. Crop vigour is read across every part of the field, and the farmer sees the same dated map the recommendation came from.

02

For variable-rate operations

Management zones built from years of the field's own behaviour join soil evidence by depth: texture, organic matter, pH. Rates are calculated zone by zone and bounded by what each soil can carry, and a qualified agronomist and the farm approve every prescription before it runs.

03

For orchards and palms

Tree crops are followed as individuals: each tree its own record, its own trajectory, its own early flag when it falls away from its baseline. Replacements, losses and counts stop being an argument and become a record.

Zones from the field's own history Soil by depth Crop and target Equipment limits Safety bounds Rate per zone Agronomist approves Farm approves Then, and only then, it runs
Rates are calculated by rules a person can read, bounded by the soil, and approved by people before they touch the field.

Start with one field

Register a farm and see what your ground has been saying.