Every Diseased Leaf Is A Chance To Save A Harvest
AgriLens AI helps maize farmers identify diseases, receive treatment guidance, and protect their yields using a simple smartphone photo.
AgriLens AI is in early testing phase. We’ve built core disease-detection functionality and are now gathering real-world farmer feedback to improve accuracy and design. Interested in joining our pilot cohort (free access, direct feedback loop with our team)? Reach us at hello.agrilensservices@gmail.com.
Farmers Are Losing Harvests Because Help Arrives Too Late
Many farmers identify diseases through guesswork, receive advice too late, and apply the wrong treatments. The result is crop losses, wasted money, and reduced food security.
Most farmers diagnose diseases through visual guesswork alone. They have no access to tools, AI support, or timely expert advice.
Early Product Discovery Research, AgriLens AI
Have confused one disease for another, leading to incorrect treatment and yield loss.
Early Product Discovery Research, AgriLens AI
Already own smartphones capable of running AgriLens AI. The distribution channel exists in farmers' pockets right now.
Early Product Discovery Research, AgriLens AI
Help Arrives Too Late
Disease outbreaks spread for days before extension officers can respond. By the time help arrives, the damage is often irreversible.
Extension Officers Are Stretched
One officer typically serves hundreds of farmers. Most farmers wait weeks for advice that should take minutes.
Wrong Chemicals Waste Money
Misidentified diseases lead to incorrect chemical purchases, compounding losses that most smallholder farmers cannot recover from.
Why Protecting Maize Matters
Maize is one of Africa's most important food crops and a primary source of income for millions of smallholder farmers. Diseases such as Maize Streak Disease, Northern Corn Leaf Blight, and Common Rust continue to threaten yields and food security when not detected early. This is why early detection tools are not optional. They are essential.
of maize produced annually in Nigeria. This makes Nigeria one of Sub-Saharan Africa's largest maize producers.
are smallholders. They form the backbone of national food production and are the farmers AgriLens AI is built to serve.
threaten maize yields across Nigeria every season. MSD, NCLB, and Common Rust cause significant losses when not detected early.
Smallholder farmers produce most of the food consumed across Nigeria. Early disease detection is critical for farmer livelihoods, national food security, and the long-term health of Africa's agricultural sector.
See the Solution →Your Extension Officer In Your Pocket
A complete crop health workflow in six steps. From leaf scan to treatment plan in under 30 seconds.
Capture Your Leaf
Take a photo of any maize leaf using the in-app camera or upload from your gallery. The app works in everyday farm conditions with no special lighting, equipment, or data connection needed.
- ✓In-app camera capture
- ✓Gallery photo upload
- ✓Works in low light
- ✓Offline capability on roadmap
Diseases AgriLens AI Can Detect
Trained on African disease datasets. More diseases and crops added with every update.
Current version achieves 91–97% accuracy on validation test sets for these classes. Real-world performance with farmer-submitted photos is being tested in our pilot cohort.
Healthy Maize Leaf
Uniform green color, firm texture, no lesions or streaks. Normal growth pattern visible along leaf veins.
No yield impact. Continue routine monitoring and prevention practices.
Maize Streak Disease
Narrow, pale yellow to white streaks running parallel to leaf veins. Stunted growth in severe cases.
Can cause 10–100% yield loss depending on infection stage. Spread by leafhoppers.
Northern Corn Leaf Blight
Long, cigar-shaped grayish-green to tan lesions (5–15 cm). Appears first on lower leaves, spreads upward.
30–50% yield reduction if infection occurs before tasseling. Spreads rapidly in humid conditions.
Common Rust
Oval to elongated reddish-brown pustules scattered across both leaf surfaces. Powdery texture when rubbed.
Moderate severity. Early detection limits losses. Fungicide application highly effective.
Built for African Farmers. Not Adapted Later.
Generic agricultural apps were designed for global markets then retrofitted for Africa. AgriLens AI was built from the ground up for African conditions, languages, and farmers.
| Feature | Others | ✦ AgriLens AI |
|---|---|---|
| Disease Dataset | Generic global datasets | ✦African disease-focused training data |
| Language Support | English only | ✦Hausa, Yoruba, Igbo + voice readout |
| Treatment Guidance | General recommendations | ✦Localized, actionable, product-specific |
| Offline Usage | Requires internet connection | ✦Current MVP requires internet; offline mode is on our near-term roadmap |
| Disease Tracking | Not available | ✦Track progress across multiple scans |
| Severity Assessment | Basic or none | ✦Mild / Moderate / Severe grading |
| Personalized Advice | One-size-fits-all | ✦Adapted to your farm, location & stage |
| Outbreak Intelligence | Not available | ✦Regional monitoring for institutions |
Technology Farmers Can Actually Use
Designed for farmers who may have low literacy, intermittent data, and limited experience with technology. Every feature is built around real farmer needs, not assumptions.
Local Language Support
Farmers receive full recommendations in Hausa, Yoruba, Igbo, or English. Language should never be a barrier to getting the right advice.
Text-to-Speech Voice Guidance
Text-based disease guidance is available in English, Hausa, Yoruba, Igbo, and Pidgin English. Voice playback (text-to-speech) is currently available for English and Pidgin English, with additional voice languages rolling out in upcoming releases.
Disease Tracking Over Time
Scan the same plant repeatedly over days and weeks. AgriLens AI shows whether your treatment is working, symptoms are worsening, or the crop is recovering.
Advanced Treatment Plans
No vague "apply fungicide" advice. Every plan includes the product name available locally, exact dosage, mixing instructions, application schedule, and safety precautions.
Personalised Farm Recommendations
Recommendations adapt based on the disease detected, severity level, location, crop stage, and past treatment history. The more you use it, the more relevant it becomes.
Network Resilience: In Development
The current version requires an internet connection for disease diagnosis. Offline capability is on our near-term roadmap, essential for the millions of African farmers in rural areas with limited connectivity.
Built With Farmers,
Not Just For Them
Every feature in AgriLens AI is shaped by real conversations, field research, and direct farmer feedback. Nothing was built on assumptions.
Before designing AgriLens AI, we conducted product discovery interviews with maize farmers and agricultural stakeholders across Nigeria to understand how diseases are identified, how treatment decisions are made, and the barriers farmers face when accessing timely agricultural advice.
These insights revealed that many farmers rely on visual guesswork, struggle to differentiate diseases, and often receive treatment guidance too late. In many cases, they receive no guidance at all. These findings directly shaped every design decision in AgriLens AI.
Smallholder maize farmers across Kaduna, Niger, Kano, and Benue States
State agricultural development program officers providing field-level validation
Peer-reviewed literature on maize disease detection, AI diagnostics, and African agtech
MSD, NCLB, Common Rust, and Healthy leaf. Broader crop coverage is planned for 2027 and beyond.
What We Heard → What We Built
What Farmers Told Us
We surveyed 20+ maize farmers across Nigeria (Kaduna, Kano, Taraba, Adamawa, Gombe, Benue, and other states) via Google Forms to understand the problem space.
Have confused one maize disease for another
Applied the wrong chemical due to misidentification
Have no access to an extension officer or agronomist
Typical wait time for advice while disease spreads
Already own a smartphone
Use WhatsApp daily
Would use a tool that identifies disease from a photo
Said such a tool would be "very helpful"
“Knowing the disease and the right treatment”, with step-by-step application instructions.
Driven by Purpose, Grounded in the Field
Building technology that bridges the gap between modern AI and smallholder farmers, helping communities make faster and smarter decisions before diseases affect their harvests.
AgriLens AI was founded on a simple belief: every farmer deserves access to reliable agricultural support, regardless of literacy level, internet connectivity, or proximity to an extension officer.
We are building practical tools that help farmers identify crop diseases earlier, make informed decisions, and protect their yields. Our long-term goal is to make agricultural intelligence more accessible to farming communities across Africa.
Partner With AgriLens AI
AgriLens AI is designed to work alongside organizations that support farmers. We welcome partnerships with agricultural companies, NGOs, cooperatives, researchers, and government institutions working to improve crop health and food security.
Agrochemical & Seed Companies
Explore opportunities to improve disease management and farmer recommendations through collaborative field testing.
NGOs & Farmer Cooperatives
Support farmers with accessible disease detection tools and contribute to real-world validation efforts.
Government & Extension Services
Evaluate how AI-powered crop health tools can strengthen disease monitoring and farmer support programs.
Agricultural Finance & Insurance
Explore future applications of crop health data for risk assessment and farmer support initiatives.
Become One of Our First Pilot Partners
Help shape the future of AI-powered crop disease detection in Africa. We're onboarding a limited number of partners to test AgriLens AI in real-world conditions.
Early access to all new features before public release
Direct feedback sessions with the AgriLens AI team
Access to disease monitoring insights and outbreak data
Opportunity to shape product development direction
Priority support throughout the pilot period
Recognition as a founding partner in Africa's crop intelligence network
Applications reviewed within 3–5 business days. Pilot launching Q3 2026.
Common Questions
Everything you need to know about AgriLens AI before getting started.
Have a question not listed here?
hello.agrilensservices@gmail.comFeeding Africa Starts With Protecting Farmers
A deliberate, focused expansion. We are proving deep impact in maize before scaling to the crops that feed a continent.
Nigeria: Maize
Launch AI disease detection for maize. Pilot with farmer cooperatives across Northern and Middle Belt Nigeria.
- 4 disease classes
- Text in 5 languages, voice in 2
- Offline mode (in development)
- Institutional dashboard
Rice + Cassava
Expand crop coverage and deepen language support. Integrate with NGO extension programs across West Africa.
- New disease models
- More local languages
- NGO partnerships
- Data export tools
Tomato + Pepper
Add high-value vegetable crops. Launch outbreak monitoring dashboards for governments and cooperatives.
- High-value crops
- Outbreak alerts
- Government dashboards
- Regional analytics
Africa-Wide Platform
Pan-African Crop Intelligence Network serving governments, NGOs, cooperatives, and 10 million+ farmers.
- 10M+ farmers
- Multi-country
- Policy intelligence
- Food security data
Long-term vision: Africa's first continent-wide Crop Health Intelligence Network, connecting 10M+ farmers by 2030.
Built for Scale
A freemium model that puts core tools in every farmer's pocket while generating sustainable institutional revenue through the organizations that serve them.
Core tools in every farmer's pocket, completely free. No subscription, no hidden fees.
- ✓AI disease detection (4 classes)
- ✓Severity assessment
- ✓Step-by-step treatment guidance
- ✓Text guidance in 5 languages, voice in English & Pidgin
- ✓Offline mode (coming soon)
- ✓Basic farm history
Our primary revenue stream. Built for the organizations that serve farmers at scale across Nigeria and beyond.
- ✓Regional disease outbreak mapping
- ✓Outbreak monitoring & early alerts
- ✓Farmer management dashboard
- ✓Field impact reports & analytics
- ✓Broadcast advisory system
- ✓Data export & API access
- ✓Dedicated onboarding & support
- ✓Custom language/region config
For farmers who want deeper insights and tracking.
- ✓Everything in Free tier
- ✓Full disease history & tracking
- ✓Treatment effectiveness graphs
- ✓Advanced treatment plans
- ✓Personalised farm recommendations
- ✓Farm health summary reports
Feature Spotlight: Disease Tracking Over Time
Institutions can monitor disease trends across regions and receive early alerts before outbreaks escalate. This gives governments, cooperatives, and NGOs the data they need to respond quickly and protect food security at scale.
Building Africa's Crop Health Intelligence Network
Today we help farmers identify maize diseases. Tomorrow we help governments, NGOs, and cooperatives predict outbreaks before they threaten regional food security.
Farmer Intelligence Layer
Real-time, farm-level disease detection data that feeds into national crop health monitoring systems.
Early Warning System
Detect emerging disease outbreaks weeks before they spread. This gives governments and NGOs time to respond before a local problem becomes a regional crisis.
Food Security Infrastructure
A shared data platform used by African governments to plan agricultural policy and protect food sovereignty.
Continental Scale
Connect 10M+ farmers, hundreds of cooperatives, and dozens of government agencies across Africa by 2030.
Starting in Nigeria 2026 → Africa-wide platform by 2030
Every Diseased Leaf Is A Chance To Save A Harvest
Join us in securing Africa's food future by giving farmers the tools to detect diseases early, act quickly, and protect their yields before it's too late.