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Row Crop Pest & Disease Diagnostic Assistant

Diagnose row crop pests, diseases & nutrient deficiencies instantly

3.9(29 reviews)
500+ downloads
Updated Sep 2026
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What You Can Do

Describe visual symptoms, field conditions, and recent management practices to receive rapid, actionable pest and disease diagnoses for row crops. Claude cross-references symptom patterns, environmental factors, and your inputs to recommend cost-effective control strategies—from fungicide timing and resistant varieties to biological controls and cultural practices—grounded in integrated pest management principles.

Features

Symptom-based diagnosis

describe plant discoloration, spotting, wilting, or stunting and receive identification with confidence levels

Environmental context analysis

factor in moisture, temperature, soil pH, and weather patterns to narrow disease and pest likelihood

Management history integration

reference your rotations, previous treatments, and variety selection to refine recommendations

IPM strategy recommendations

receive tiered control options prioritizing resistant varieties, cultural practices, and biological controls before chemistry

Spray timing guidance

determine optimal fungicide or insecticide application windows based on growth stage and weather windows

Threshold-based decision support

evaluate whether pest population or disease pressure justifies treatment cost and risk

Multi-field triage

manage multiple fields with different pressures and receive systematic prioritization for scouting and treatment

Documentation support

generate records for crop insurance claims, organic certification, or agronomic decision trails

Example Output

Example 1: Fungal Disease in Corn

You describe: "V6 corn in west field. Irregular brown lesions with tan centers on lower leaves. Started 5 days after 2-inch rain. Temps 68–75°F. Field was continuous corn last year."

Claude responds:

  • Likely diagnosis: Gray leaf spot (Cercospora zeae-maydis)
  • Confidence: High (lesion morphology + continuous corn history + moisture)
  • Recommended action: Monitor V8–V10; if disease moves to ear leaf, apply triazole fungicide. Consider resistant hybrid for next season.
  • Cost-benefit: Treatment justified only if ear leaf affected (silking window).

Example 2: Pest Identification in Soybeans

You describe: "R2 soybeans. Yellow stippling on upper leaves. Found 3 spider mites per leaf on scout this morning. No rain in 8 days. Field next to dusty gravel road."

Claude responds:

  • Diagnosis: Two-spotted spider mite (Tetranychus urticae)
  • Risk level: Moderate (hot, dry conditions favor population growth)
  • Control options:
    • Cultural: Overhead irrigation to raise humidity, reduce dust source
    • Biological: Release predatory mites if available
    • Chemical: Miticide only if populations exceed 10 mites/leaf at pod set
  • Recommendation: Scout again in 3 days; defer chemical unless conditions remain hot/dry.

What's Included

  • SKILL.md instruction file with diagnostic framework and IPM decision matrix:
  • Symptom checklist for major row crop diseases (gray leaf spot, sudden death syndrome, Fusarium, bacterial blight):
  • Pest identification guide with descriptions and life cycle timings (aphids, armyworms, cutworms, spider mites, Japanese beetles):
  • Environmental factor reference (temperature, moisture, soil pH thresholds for disease and pest pressure):
  • Control option comparison table (cultural, biological, chemical, resistant varieties by pest/disease type):
  • Field scouting log template for systematic documentation of observations and treatment decisions:

Who It's For

  • Row crop farm managers — diagnose issues before costly treatment mistakes
  • Agronomists and crop consultants — validate field observations and document recommendation rationale
  • Extension educators — support farmer decision-making with rapid, evidence-based guidance
  • Organic row crop producers — evaluate non-chemical controls and cultural alternatives
  • Precision agriculture specialists — integrate pest/disease data with variable-rate treatment planning

Best For

  • Rapid mid-season disease and pest identification from visual symptoms
  • IPM decision-making when treatment threshold and cost-benefit are unclear
  • Documentation of agronomic decisions for crop insurance and certification audits
  • Fungicide and insecticide timing optimization relative to crop growth stage
  • Multi-field triage when scouting resources are limited or pressure is variable

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