One timeline per field
See grower and advisor activities together, connected to the correct field, crop and date.
Built for independent agronomists
Save time.Make better decisions.
Stop wrestling with fragmented PDFs and messy spreadsheets. SoilBeat brings lab data, field observations, fertilisation records and recommendations into one shareable workflow.
1,400+users already structuring farm data in SoilBeat
Farm Logs
Know what happened in every field — not just what was recommended.
Farm Logs creates a shared, structured record of fertilisations, crop protection, irrigation, tillage, scouting, harvests and completed recommendations. Every entry stays linked to the right farm, field, zone, crop and date, so the next advisory decision is based on what actually happened.
See how Farm Logs worksFarm Logs · Shared field activity record
From advice to execution
Recommendation activities appear in the grower’s list and can be ticked off in the app or PDF.
Less chasing for updates
See what was applied, when it happened and whether the planned work was completed.
Better next recommendations
Combine activity history with lab results, FieldScout observations and yield to understand outcomes.
The execution and learning loop
Recommend→Complete→Record→Improve the next advice
Data Hub
Standardize the mess before you interpret it.
Stop spending hours retyping reports into spreadsheets. SoilBeat structures lab data and links it to the right farm, field, zone, crop and date.
1
Unified lab parser
Bring soil, sap, tissue, water, manure and biology reports into one comparable record.
2
FieldScout context
Keep GPS-tagged observations, photos and severity beside the measured data.
3
Activity history
Connect fertilisation and crop-management actions to the results that followed.
Standardize the mess before you interpret it.
Integrated AI
Ask questions across the whole farm record.
Pulse AI works inside SoilBeat’s structured data, combining lab reports, observations, fertilisations, activities, yields and crop history.
1
Grounded farm context
Questions are answered from connected fields, tests and dates rather than a loose pile of documents.
2
Portfolio view
Compare farms and identify where advisor attention is needed first.
3
From chat to recommendation
Turn a useful conversation into an editable report with prescriptions and grower activities.
Ask questions across the whole farm record.
Recommendation Engine
Turn connected farm data into advice that gets acted on.
Every lab result, FieldScout observation, fertilisation, crop and yield record stays pinned to the same field and date. SoilBeat combines that structured context with transparent calculations and AI reasoning to draft a recommendation you can review, edit, brand and publish.
Hybrid agronomic logic
Explore RecommendationsTransparent calculations+AI pattern recognition and drafting
Recommendation Engine
1One field-level evidence stack
Combine soil, sap, tissue, water, manure and silage reports with FieldScout observations, fertilisations and yield history.
2Two ways to create a report
Start from a goal-specific template or turn a useful Pulse AI conversation into a freer-format recommendation draft.
3Advisor review stays central
Adjust the interpretation, targets, products, rates, timing, activities and wording before anything reaches the grower.
4Advice becomes execution
Publish a branded PDF and send prescriptions as activities the grower can complete in the app or directly from the report.
From evidence to completed field activity
1Choose a goal or start from AI Chat
2Select connected farm data
3Review and fine-tune the draft
4Publish, assign and track activities
Analytics & insights
Move from isolated tests to multi-season patterns.
Compare nutrients, fields, management zones and dates without rebuilding charts for every client meeting.
1
PlantSap interpretation
Identify nutrient imbalances, uptake blocks and young-versus-old-leaf movement.
2
Trend stacking
Track changes across seasons and connect them to products or management actions.
3
Client-ready visuals
Use clear charts and downloadable evidence in recommendations and grower conversations.
Move from isolated tests to multi-season patterns.
Scale your expertise
Serve more farms without lowering the quality of your advice.
Use structured data, repeatable workflows and editable AI-assisted recommendations to spend less time assembling reports and more time on the agronomic details that matter.
Built for growth
What advisors say about SoilBeat.
“
I started adding lab reports to ChatGPT and then Claude. It looked promising, but quickly became a mess. SoilBeat gives me the best of both worlds: structured data, collaboration and the AI horsepower to do better analysis.
