---
title: "Field scouting from phone and drone images: AI Use Case"
description: "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."
url: https://lidvizion.ai/use-cases/field-scouting-from-images/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Use cases](https://lidvizion.ai/use-cases/) · 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.

[Talk through this workflow](https://lidvizion.ai/contact/?need=milestone-delivery&from=%2Fuse-cases%2Ffield-scouting-from-images%2F#write) · [Build the missing piece](https://lidvizion.ai/services/custom-software/)

Where it starts

## The trigger.

Scouts walk fields or a drone flight is completed.

How it runs today

- Scouting depends on how much ground a person can cover.
- Photos are taken but rarely reviewed together or mapped.
- Problems are found late, when they have already spread.

The workflow

## Four bounded steps.

Each step has an owner and a stop rule.

1. 01 / Capture
   Collect geotagged images from scout phones or drone flights for each field.
2. 02 / Detect
   Flag images or areas that may show weeds, pests, disease or stress, with a confidence for each.
3. 03 / Map
   Place flagged areas on a field map with the source images attached.
4. 04 / Decide
   An agronomist reviews flagged areas, confirms or dismisses them and decides on action.

Where people stay in control

## Approval points.

- An agronomist confirms every finding before any treatment decision.
- Low-confidence areas are marked for a person to check in the field.

How we would measure it

## Against a baseline.

Measured before and after, on the same work.

### Share of flagged areas confirmed by agronomists.

### Time from capture to reviewed field map.

### Acres reviewed per scouting day.

Related

## Go deeper.

- [Build the missing piece](https://lidvizion.ai/services/custom-software/): Custom tools and applications for the gaps that matter.
- [Image vs. video processing](https://lidvizion.ai/resources/basics/image-vs-video-processing/): When a single frame is enough, and when you need motion, sequence and time.
- [Map problem areas from field images](https://lidvizion.ai/guides/map-problem-areas-from-field-images/): A four-step playbook to standardize how fields are photographed, test detection on your own crops and conditions, map flagged areas for agronomists and measure whether scouting gets faster and earlier.
- [How Much Data Does a Computer Vision Project Need?](https://lidvizion.ai/answers/how-much-data-does-a-computer-vision-project-need/): How many images or videos does a business need to start a computer vision project?

More use cases

## Other places to start.

[All use cases](https://lidvizion.ai/use-cases/)

- [Movement and activity analysis from video](https://lidvizion.ai/use-cases/video-movement-analysis/): Sports & field operations Count repetitions, score form or track activity from ordinary video, with results a coach or supervisor can check.
- [Field inspection photo reports](https://lidvizion.ai/use-cases/field-inspection-photo-reports/): Sports & field operations Turn the photos and notes field crews capture on site into an organized inspection report, with possible issues flagged for a qualified person to confirm.
- [Venue occupancy and crowd flow](https://lidvizion.ai/use-cases/venue-occupancy-and-crowd-flow/): Sports & field operations Count people entering, leaving and gathering in areas of a venue from existing cameras, without identifying anyone, so staff can open gates, move people and plan staffing.

An illustrative workflow pattern, not a result from a specific customer.

Bring the messy version

## One workflow. A better way to run it.

Show us the tools, the handoffs, and the part that keeps slowing your team down.

[Let’s map your workflow](https://lidvizion.ai/contact/) · [Read our approach](https://lidvizion.ai/approach/)