In this guide

The starting point

Define the problem, understand the terms and decide what would count as useful evidence.

Choose one practical objective

Your first objective might be clearer scouting priorities, more understandable field information or a better record of follow-up. Avoid starting with too many unrelated goals. A pilot that fits the available season, crops and time is easier to evaluate.

Decide what useful evidence would look like. For example, a record of relevant field checks can support a workflow assessment. A claim about yield improvement needs a different measurement approach and a suitable comparison.

Understand the participation terms

Confirm the fields and crops included, the expected time commitment, available support, costs and end date. Ask what happens if data are unavailable or a planned feature is delayed. Clarify whether any later paid service requires a separate agreement.

Resolve the data questions

Before sharing detailed field information, ask what is required, why it is needed and who can access it. Clarify processing locations, retention, use for model development and any proposed publication of results. Share only what is appropriate for the agreed purpose.

Plan a review at the end

Keep a short record during the pilot so the final review is based on observations. What did you use? Which questions did it help answer? What was confusing? What additional work did it create? Include both useful and unhelpful experiences.

Conditions can change during a season. Record those changes and explain how they affect your interpretation. A mixed result can still provide useful learning when its limits are clear.

AgriNova is preparing for planned Canadian validation. The pilot page explains the intended focus; enquiry collection is not enabled in this review version.

Sources

This guide cites no outside source. It is general guidance written by AgriNova AI and reports no measurements or results.

  • Field guide · Understand the score

    What a field score can - and cannot - tell you

    A single score can make a long list of fields easier to review. It can also hide detail if you treat the number as a complete answer. The useful question is not simply 'Is the score high or low?' It is 'What information produced this score, and what should I check next?'

    By AgriNova AI Published Updated 2 min read

  • Field guide · Observe & investigate

    From a satellite signal to a useful field check

    A changing pattern on a field map can focus attention. It becomes more useful when you turn it into a question that can be checked. The aim is to connect the remote observation with the conditions a grower or adviser can actually investigate.

    By AgriNova AI Published Updated 2 min read

Next step

The pilot planner puts your question, evaluation window, baseline and records on one printable page.

Plan a pilot evaluation