Investigate
Explore what changed, where it changed and what information in the record may help explain it.
Pulse lets you investigate, compare and connect the agronomic information already in SoilBeat — then move useful findings towards a structured recommendation.

Your question becomes more useful when the underlying evidence is already connected. Pulse can work across the data you have structured in SoilBeat, including lab reports, field observations, activities, zones and product history.
Lab reports and measurements
Fields, crops and management zones
Field observations and activities
Product and recommendation history

Use Pulse when you have a question that does not fit neatly into a single report or screen.
Explore what changed, where it changed and what information in the record may help explain it.
Compare fields, zones, farms, crops, dates or measurements without rebuilding the context manually.
Bring measurements, observations, activities and history into the same question.
Ask follow-up questions in natural language and use the investigation to move towards a practical next step.

Pulse is available alongside the rest of SoilBeat. Ask about the data you are looking at, investigate a pattern, then use the result as context for the next agronomic step.
Not every question should produce the same kind of recommendation. SoilBeat keeps open-ended investigation separate from goal-specific recommendation workflows.
Pulse is the open-ended investigation layer.
Recommendation workflows start from a defined agronomic goal.
The relevant evidence and logic can be selected for that goal.
The final recommendation can be edited, reviewed and approved.

The recommendation type determines the question, evidence, logic and practical output. Pulse helps you investigate; the workflow turns the relevant evidence into structured advice.
What is happening in the plant now, and what needs correcting?
Young and old leaf sap results, crop stage, observations and history.
How should soil nutrient balance be addressed across the season?
pH, base saturation, mineral balance, crop needs and history.
What base fertilisation does this field need?
Soil test, crop needs and yield targets.
How can available manure be used appropriately?
Manure nutrient value, field need, timing and application limits.
Where can synthetic N be reduced without simply reducing yield ambition?
Crop demand, existing nutrient supply, history and planned applications.
What can improve nutrient uptake, retention and crop resilience?
Water information, plant status, field context and management history.
What pest or disease problem needs attention, and what should happen next?
FieldScout observations, photos/videos, crop context and history.
Where can input spend be reduced while still addressing the agronomic need?
Nutrient targets, product library, rates and product costs.
What should we do about this specific agronomic problem?
Selected evidence from the farm record and the advisor's question.
Generic AI starts with the context supplied to a conversation. Pulse can work from the structured agronomic record you have already built in SoilBeat — connecting evidence across reports, fields, observations, activities and history.
Uses the structured record already connected to the farm.
Can connect measurements with observations, activities and history.
Can help move an investigation towards a recommendation.


Use SoilBeat's mobile workflow to capture observations and field reality, then use Pulse to investigate that context. The record keeps growing as work happens.
Start building the connected record for free, or talk to us about how Pulse fits into your agronomic workflow.