Landscaping Plant Health Analysis

Assessment of plant health from photos including disease identification, pest damage, water stress, and growth tracking

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Landscaping Plant Health Analysis

Overview

Computer vision-based assessment of plant health from photos including disease identification, pest damage, water stress detection, and growth tracking. Primary agent: 03000-006 Plant Health Analysis Agent.

Steps

  1. Image Preprocessing → Prepare photo for analysis (crop, resize, normalise)
  2. Plant Detection → Identify all plants in the image
  3. Health Assessment → Analyse each plant for: colour (chlorosis), leaf condition (wilting, spotting), growth rate, pest damage, disease symptoms
  4. Classification → Classify health status: Healthy, Stressed, Diseased, Pest-affected
  5. Recommendation → Generate treatment recommendation based on diagnosis
  6. Documentation → Log health assessment with evidence, location, and date

Cross-References

  • landscaping-establishment-monitoring/SKILL.md — Health data for establishment tracking

Construct-AI-primary/agent-companies-core/tree/main/skills/construct-ai/03000_landscaping/landscaping-plant-health-analysis commit b8f958b055

Frequently asked questions

npx skillmds@latest add construct-ai-primary/landscaping-plant-health-analysis