Image-based scouting extends what a scout can cover, but only when capture is consistent, detection is tested on your own crops and conditions, and an agronomist stays responsible for every decision. These four steps build that foundation before relying on the map.

Step 1 — Decide what to look for

Goal: Focus on the problems that matter most this season.

  1. List the issues worth catching early, such as specific weeds, pests, diseases or water stress.
  2. Note the crop stages when each issue is visible and matters.
  3. Name the agronomist who reviews findings for each field.
  4. Agree how findings turn into actions and who approves them.

You finish with: A short list of target issues, timing and owners.

Step 2 — Standardize capture

Goal: Make every image usable and placeable on a map.

  1. Choose capture methods: scout phones, drone flights or both.
  2. Make sure images are geotagged and labelled with field and date.
  3. Set simple rules for height, angle and lighting.
  4. Collect a labelled sample across fields, stages and weather.

You finish with: Consistent, geotagged images and a labelled sample set.

Step 3 — Detect and map

Goal: Show agronomists where to look first.

  1. Run detection on the sample and measure agreement with agronomist labels.
  2. Flag areas with a confidence and the source images attached.
  3. Place flagged areas on a field map.
  4. Mark low-confidence areas for a person to check in the field.

You finish with: A reviewed field map of flagged areas with evidence.

Step 4 — Review and improve

Goal: Earn trust and expand carefully.

  1. Have agronomists confirm or dismiss each flagged area.
  2. Track the share of flags confirmed and time from capture to map.
  3. Add confirmed examples to improve detection over the season.
  4. Expand to new issues or fields once results are trusted.

You finish with: Measured accuracy and a scouting routine that improves each season.

Common pitfalls

  • Treating flags as diagnoses without an agronomist’s review.
  • Images without location, so findings cannot be found again.
  • Testing detection on someone else’s crops instead of your own.
  • Expanding to many issues before one is reliable.

See it as a workflow

Sports & field operations

Field scouting from phone and drone images

Turn the photos scouts and drones already capture into a map of possible problem areas, such as weeds, pests, disease or water stress, so agronomists can decide where to look first.

See the workflow

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