An adviser built around field context
The adviser helps make the reasoning and next review step easier to inspect.
The Sensorius Agronomic Adviser is an AI agronomist inside the platform. Use the global adviser for agronomic questions or open the Field advisor while preparing a crop timeline. The service is instructed to use authenticated tenant data and approved platform tools rather than invent field conditions.
The adviser helps make the reasoning and next review step easier to inspect.
Depending on the question and available data, the adviser can inspect the selected field and crop, season and crop phase, recent and historical measurements, stored weather forecast context, field timelines, generated actions, and device data.
During timeline preparation, the Field advisor receives the selected field, crop, start date, and end date. It can ask one concise agronomic precondition question before the user continues or adjusts the details.
Adviser messages are stored as a conversation. A validated timeline draft is a separate structured result, so ordinary chat text does not silently become an applied farm plan.
When information is incomplete, the adviser is instructed to ask for a field check, inspection, measurement, or clarification instead of inventing a treatment or field state.
The adviser does not replace qualified agronomic judgment, inspect conditions that are not represented in the data, or apply a proposed farm action automatically.
The platform makes the available context and its limits clear.
No. It is an advisory interface that uses Sensorius data and tools. It cannot observe unrecorded field conditions and does not replace a farmer or qualified agronomy professional.
The platform provides a global Agronomic Adviser chat and a field-specific adviser for timeline preparation. The field page separately shows generated actions with timing, priority, rationale, freshness, and status.
No. The timeline workflow requires user confirmation to continue, and adviser chat does not apply operational actions automatically.
Sensorius devices can add soil measurements, movement events, equipment data, and control feedback to the platform. External data and farm-provided context can also support the workflow, so each deployment can use the evidence appropriate to the decision.
