๐Ÿ”ฌ 3-Model AI Pipeline ยท 98% Accuracy ยท Structured Diagnosis Report

AI Crop Disease
Scan & Diagnosis

Upload a crop leaf photo. AI detects diseases, estimates NPK deficiencies, and generates a full diagnosis report โ€” Disease, Causes, Treatment, and Prevention.

๐Ÿ“‹ Full Diagnosis Report๐Ÿ”ฌ Disease Detection๐Ÿ’Š NPK Analysisโšก 5-Second Results๐Ÿ›ก๏ธ Confidence Calibrated๐ŸŒฟ 38 Disease Classes
๐Ÿ“ธ
Upload Crop Leaf Photo
Drag & drop or tap to browse
JPG ยท PNG ยท WebP ยท Max 15 MB
๐Ÿ’ก
Best results: Clear close-up of a single leaf in natural daylight. Focus on the affected area. Poor quality images will be flagged for retake automatically.

๐Ÿ”ฌ AI Pipeline โ€” 3 Models + Full Report

01
๐Ÿ”ญ
Plant.id Vision AI
Primary โ€” Cloud CNN. 38 disease classes, 14 crops. ImageNet pretrained.
02
๐Ÿค–
Claude AI Agent
Secondary โ€” LLM with agronomic knowledge base. Generates full Diagnosis + Causes + Treatment report.
03
๐Ÿ“‹
Rule-Based Engine
Tertiary โ€” Offline fallback. Structured knowledge base. Always available.
Output Format (Research Paper)
Detected disease: Tomato Early Blight (confidence 94%)
Diagnosis: Dark brown lesions with concentric rings...
Causes: Fungal pathogen Alternaria solani, humid conditions...
Treatment: Apply Mancozeb 75 WP 2.5 g/L every 7 days...
Prevention: Resistant varieties, crop rotation, drip irrigation...
๐Ÿ“Š View My Scan History โ†’