Apply agronomic expertise consistently.
SoilBeat combines structured farm context with agronomic knowledge, target values, defined methodologies and AI assistance — helping growers and advisors apply the right logic more consistently across analysis and recommendations.
Good agronomy is more than a prompt.
Useful agronomic decisions depend on the right context, the right thresholds and the right way of interpreting them. SoilBeat gives you a structured place to apply those rules and methods consistently — with AI assisting inside the workflow rather than replacing the agronomic logic.
Apply knowledge consistently
Use defined targets, filters and agronomic logic instead of rebuilding the same reasoning for every case.
Keep expert judgement in control
Use SoilBeat to structure and accelerate the work while the agronomist remains responsible for the final decision.
Scale the way you advise
Turn specialist methods and recommendation approaches into reusable workflows for teams and organisations.
Compare measurements against the agronomic targets that matter.
Use target values to give measurements a practical frame of reference. Work with standard targets where appropriate or use agronomist-defined values when crops, production systems or advisory methods require a different benchmark.
Define which relationships deserve attention.
Use agronomic filters to focus analysis on the measurements, combinations and patterns relevant to a specific question. This helps advisors apply their own priorities consistently rather than treating every data point as equally important.
Use defined agronomic logic inside recommendation workflows.
Different recommendation goals require different calculations, priorities and agronomic rules. SoilBeat combines deterministic logic, calculations and AI assistance inside defined workflows so the recommendation is shaped by the agronomic task rather than a generic prompt.
Turn the way you advise into reusable knowledge.
Capture specialist recommendation approaches in reusable modules so teams can apply the same methodology more consistently. Over time, advisory organisations can configure terminology, priorities and workflows around the way they work.
Agronomic intelligence becomes valuable when it is applied inside the workflow.
Agronomic Record
Keep the farm evidence and context that agronomic logic needs connected.
Analytics & Insights
Use targets, filters and comparisons to understand the evidence before deciding what to recommend.
Recommendations
Apply defined agronomic logic inside practical recommendation workflows.
AI Chat
Investigate and compare information across the connected agronomic record.
Turn agronomic expertise into a repeatable advantage.
Start with standard SoilBeat logic, then add the targets, filters, modules and methodologies that fit the way you work.