Platform module

Crop health & scouting

Scouting, pest and disease records and crop defects on the same record as the environment.

1Core
Overview

What this module does

Crop health problems are often environmental problems found late. BeeGrow AI structures scouting so this week’s observations can be compared with last week’s, and puts them on the same timeline as the conditions that came before them.

  • Named classifications, not free text, so history is searchable
  • Severity and distribution captured alongside presence
  • Every observation attributed to a person, a zone and a batch
  • Observations joined to the environmental record automatically
Capabilities

In detail

Structured scouting

Sentinel, sample, targeted and comprehensive observation types with defined canopy positions, so this week is comparable to last week.

Pest identification

Aphid, thrips, spider mite and whitefly recorded as distinct named pests with counts and locations rather than a free-text note.

Disease records

Powdery mildew, downy mildew, rust, blight and root rot as separate classifications, because the response to each is different.

Physiological disorders

Tipburn, bolting, nutrient deficiency and toxicity tracked as their own categories with severity and distribution.

Incidents and treatments

Pest, disease and contamination incidents tracked from open to resolved, and spraying recorded as a crop operation with the quantity applied.

Observation history

Every record carries the person, the zone, the batch and the timestamp, so a recurring problem is traced back to the round it was found on rather than to a week in general.

Next step

See scouting on your own zones

A 30-minute walkthrough against your zones, crops and sensors. No slides unless you ask for them.

  • Walkthrough led by someone who has built the system
  • We map your zones, crops and sensors before the call
  • Straight answers on what fits and what does not