Diagnose.
Guide.
Monitor.
Navi Leaf is a five-agent AI pipeline covering the entire crop lifecycle — from AI-powered disease detection to post-harvest grading. Offline-capable, voice-first, and compliance-ready. Every feature is built for rural India.
Open-ended
field intelligence.
One tap.
The zero-friction entry point. The farmer opens the camera, points it at their field, and taps once. Navi Leaf analyses the image and returns every anomaly it detects — disease, pest damage, nutrient deficiency, irrigation issues, weed encroachment, equipment problems — with urgency level, affected area marking, and a one-tap action to start treatment guidance.
Navi Leaf uses open-ended AI visual reasoning — not simple pattern-matching. It detects everything a trained agronomist would see: disease, nutrient deficiency, irrigation failure, pest damage, weed pressure. All in one scan, with no predefined limits on what it can find.
- Urgency scoring: Low / Medium / High / Critical with colour-coded badges
- Area-of-affect marking — targeted treatment, not blanket spraying
- Lifecycle-aware: inspects against a stage-specific checklist (germination through post-harvest)
- Post-harvest grading mode: A / B / C / Reject with market suitability advice
- Estimated savings displayed per issue: "Targeted treatment saves ₹5,000–8,000 vs full-field spray"
- Cost: ~$0.015/scan (cloud) · $0.00 (on-prem)
Vegetative: Full disease/pest/nutrient/irrigation checklist. Leaf spots, wilting, aphid colonies, whitefly, mining trails. Nutrient deficiency by element (N, P, K, Fe, Mg, Ca, B). Weed competition, soil compaction.
Flowering: All vegetative issues + flower drop, poor pollination, thrips on petals, powdery mildew on buds, blossom blight, pollinator absence.
Fruiting: Fruit cracking, sunscald, blossom end rot, fruit borer, fruit fly, uneven ripening, improper trellising.
Post-Harvest: Grading mode — A/B/C/Reject with stacking quality, contamination check, pre-cooling status.
Sub-Second
AI Diagnosis.
Fully Offline.
On-device AI vision model fine-tuned on agricultural datasets including Indian field data. Inference in under 500ms at zero API cost. Works with zero internet — critical for rural India where 40% of agricultural land has poor connectivity.
The model identifies the exact disease, severity, and which plants are affected. A dedicated area detection model then highlights the precise area of infection with bounding boxes and segmentation masks overlaid on the camera preview — so treatment is targeted to exactly the affected zone.
- Lightweight on-device vision model, fine-tuned on agricultural + Indian field data
- Accuracy: 97–99% on benchmark · Target: >95% on real-world Indian photos
- Inference: <500ms · Zero API cost · Zero internet required
- Coverage: 15+ crops — tomato, potato, rice, wheat, corn, grape, apple, citrus, cotton, pepper, mango, chilli, banana, soybean, groundnut
- Fallback: Unknown/ambiguous cases route to cloud AI vision for deeper analysis
- Area localisation: Segmentation masks overlaid on camera preview
Farmer spots disease → panics → sprays entire field → 30–40% of pesticide wasted on healthy plants
Smart Scan → area-of-affect mapped → treatment applied only where needed → savings compound
Saved · 5-Acre Farm
Saved · Pesticide Alone
Hands in the field.
Voice in the ear.
PPE Safety Gate
Photo verification of gloves, mask, and eye protection before any chemical handling begins. This step cannot be skipped. The VLM checks the photo for correct PPE before unlocking the next step. Protects workers and creates a compliance record for every session.
Chemical Selection & Mixing
Recommends the appropriate pesticide or fungicide with Indian brand names and locally available alternatives. Step-by-step mixing guidance with exact dilution ratios, timing, water quantity, and container type — delivered by voice. The farmer's hands are mixing, not scrolling.
Snap Verification
At critical steps, the worker photographs their work. The Snap Verifier agent checks the photo against the expected outcome — mixed solution for colour and consistency, application coverage, PPE compliance. Improper mixing routes back to the mixing step. The session cannot progress until verification passes.
Application & Completion
Spray technique, distance from crop, coverage pattern, wind direction awareness, and targeted zone highlighted from the area-of-affect map. On completion, before/after photos are saved, treatment details are logged, and a follow-up check is automatically scheduled for Day 3, 7, and 14.
Fully Hands-Free
All guidance delivered by voice in Indian languages. Voice input supported. The farmer never needs to touch the phone after starting a session. Multi-language support is on the roadmap.
Sessions Never Lost
Sessions persist through phone calls, app switching, connectivity loss, and device restarts. A farmer who started mixing at 8am and is interrupted resumes exactly where they were at 2pm. No restart, no lost progress.
Expert in the Loop
Unrecognised disease, repeated failures, or safety gate violations trigger an escalation. Supervisor or agronomist receives a push notification with full context — photos, diagnosis, GPS location. Session is paused (not terminated). All actions logged immutably.
Your Protocols, Guided
Guidance is driven by your own SOPs — uploaded as PDFs or DOCX. The AI parses them into structured steps, safety gates, and verification checkpoints. Agronomist reviews before publishing. Workers follow your protocols, not generic advice.
Treatment is
the beginning,
not the end.
After treatment, Navi Leaf schedules follow-up checks at Day 3, Day 7, and Day 14. The farmer receives a push notification, snaps the treated area, and Navi Leaf automatically compares the new photo with the Day 0 baseline.
If disease is spreading: stronger treatment protocol is recommended. If resolved: success is recorded and the crop lifecycle advances. If unresolved at Day 14: escalation to agricultural extension office and helpline number is initiated.
- Day 3: First follow-up — compare with Day 0, detect early spread
- Day 7: Confirm resolution or recommend repeat application
- Day 14: Final check — resolved (success recorded) or escalate to expert
- All check photos stored with timestamps and GPS in compliance record
- Treatment outcome data feeds model retraining (with consent)
- Crop insurance: all records serve as PMFBY supporting documentation
Your protocols.
AI-guided. Verified.
Upload an existing procedure document — PDF, DOCX, or even an image of a printed guide. Navi Leaf's planner agent parses it into structured steps, safety gates, snap verification checkpoints, and failure routes. An agronomist reviews the AI-generated plan before it goes live. Approved SOPs are immediately available to all assigned field workers.
Full Version Control
Every SOP change creates a new version — never overwrites. Rollback to any previous version instantly. Audit log tracks who changed what, when, and why. Workers mid-session complete on their version; new sessions use the update.
Draft → Approved → Live
Configurable approval chains: single approver, dual approval, or department-head sign-off. Reviewers receive notifications when a new version is submitted. SOPs cannot go live without approval.
Pre-Built for Indian Agriculture
Disease treatment protocols by crop type. Pesticide application guides with Indian brand names. Post-harvest handling and grading procedures. Equipment maintenance schedules. Organic farming and certification compliance.
Region & Crop Specific
Task plans are region-tagged. Chemical recommendations reference locally available brands. Lifecycle timelines are config-driven per region and crop variety. New country setup: 1–2 weeks of data configuration.
The audit trail
is the product.
In agricultural enterprise environments, the compliance record is often more valuable than the guidance itself. Navi Leaf produces an immutable, timestamped record for every guided session — automatically, without any extra work from the farmer.
- → Worker ID, crop type, field GPS, growth stage, SOP version
- → Every step with timestamp · every photo with GPS and time
- → Chemicals used with exact dilution ratios and quantities
- → Deviations flagged · safety gate confirmations logged
- → Cryptographic hashing · append-only · 7-year retention
Auto-generated PDF reports with all photos and timestamps. CSV/JSON export. REST API with webhook events. Scheduled summary reports to designated managers.
Cloud, Private Cloud,
or Air-Gapped.
Fastest to deploy. Ideal for individual farmers and small agri-input companies. Data encrypted at rest (AES-256) and in transit (TLS 1.3). Data residency: India, US, EU, APAC.
- Managed infrastructure on AWS/Azure
- Zero setup · instant onboarding
- Automatic model updates
Deployed in the customer's own cloud account. Navi Leaf's application layer runs inside their VPC. No data leaves their network. Customer controls all encryption keys and access policies.
- Open-source VLMs replace proprietary API calls
- Customer-managed keys
- Full network isolation
Full deployment on customer's local servers. Zero internet dependency. On-device CNN + local open-source VLM. Critical for rural India where connectivity is poor.
- On-device text-to-speech
- On-device voice recognition
- Syncs when connectivity resumes
Text agents: lightweight AI model · any machine with 8GB+ RAM. Vision agents: multimodal AI model · 16GB+ RAM. High-accuracy configuration: GPU server with 24–48GB VRAM.
A single configuration setting routes the entire platform between cloud, private cloud, and on-premise inference. All AI agents work identically across providers.
Agricultural Operations
Dashboard.
Full access. User management, billing, SOP management, all analytics, tenant configuration.
SOP publish/approve, team performance dashboards, compliance reports, disease pattern analysis.
Team session progress, approve completions, flag for retraining, receive escalations in real-time.
Execute assigned tasks, view own history, scan crops, complete guided sessions. Task-level only.
Treatment Performance
Average treatment completion time, failure rates by step, SOP deviation rates, first-time success rate, session volume trends, disease frequency by crop and region.
Disease Heatmap
Disease frequency mapped across all registered farms in the region. Crop stage distribution. Treatment effectiveness tracking. Seasonal trend analysis. Early outbreak alerts.
Competency Profiles
Individual competency scores: accuracy (pass rate) × efficiency (time vs benchmark) × consistency (deviation rate). Retraining flags auto-trigger when pass rate drops.
Live Field View
Live map of active sessions with GPS. In-progress task status. Escalation queue. Supervisor receives push notification + SMS with full context the moment a session is flagged.
Transparent pricing.
Coming soon.
Pays for itself
in the first session.
After 12 months with 50 agricultural enterprise customers: hundreds of thousands of labelled field photos across Indian crop varieties, soil types, and growing conditions. This dataset compounds in value and becomes impossible for a new entrant to replicate without years of farmer adoption.
See it with
your crops.
We'll demo Navi Leaf in the context of your operation — your crops, your SOPs, your compliance requirements. No generic demo — a session built around your specific use case.