AI Garden Help – How Rolf Diagnoses Yellow Tomato Leaves
Rolf, 60, a hobby gardener, notices yellow leaves on his tomatoes. He uploads photos to a plant‑diagnosis AI. Diagnosis: nutrient deficiency. The AI recommends the right fertilizer – the tomatoes recover.
Problem
Yellowing can have many causes: nitrogen or iron deficiency, waterlogging, pH issues, pests. Without a solid diagnosis, treatment becomes trial‑and‑error and costs yield.
AI Solution
Rolf uploads multiple photos (leaf close‑ups, stem, full plant) and adds context: location, soil, watering. The AI combines image analysis with a questionnaire:
- Image analysis: chlorosis patterns, veins, spots.
- Context check: pot/bed, substrate, last feeding, pH, weather.
- Diagnosis: high likelihood of nutrient deficiency (e.g., N or Fe).
- Care plan: suitable fertilizer (NPK/Fe chelate), dosage, frequency; also verify watering and pH.
Example Plan
- Today: apply liquid fertilizer as directed; avoid waterlogging.
- In 7 days: re‑check; repeat if needed.
- Long term: improve soil (compost), mulch, water evenly.
Outcome
After a few days, new leaves turn deeper green and growth stabilizes – visible recovery.
Benefits
- Targeted: images + context instead of guessing.
- Fast: diagnosis and actions within minutes.
- Educational: understand causes and improve care.
Limitations
- Similar symptoms from pests/diseases – inspect leaf undersides and stems.
- Follow dosage strictly; avoid over‑fertilizing.
- Seek expert advice for severe or persistent issues.
Conclusion: AI makes plant care more precise. Rolf gets a clear diagnosis and a fertilizer/maintenance plan – for healthy tomatoes.
Tools used
Claude AI
Anthropic PBC
AI assistant for writing, analysis, coding and complex tasks.
Plantix
PEAT GmbH
AI app for plant disease detection, crop diagnostics, and farming guidance.
Google Lens
Google LLC
AI tool for visual search, object detection, and image analysis.
ChatGPT
OpenAI
Versatile AI assistant for text, code, and analysis.