Agricultural Fields
Enterprise Agricultural Intelligence Platform

Protect Regional Yields Across Your Entire Farmer Network.

TerraMind AI gives cooperatives, agribusinesses, NGOs, and government agencies a single command center to monitor crop health across every farm in their network — combining drone imaging, IoT sensors, and deep learning to flag disease and pest risk 5-10 days earlier, then push prescriptive alerts straight to each farmer's phone through our field app.

Get Started → View Plans
50-100
Active org. users piloting
70-85%
Field-validated accuracy
5-10 days
Earlier detection

Crop Losses Are Hiding Across Your Entire Network.

When you're responsible for thousands of farmers across a region, you can't rely on field visits to catch disease. By the time a scout — or a farmer — sees a symptom, the damage across the network is already done.

Late Detection

Manual scouting covers under 2% of field area — by the time you see symptoms, 10-20% of the field is already infected.

Inconsistent Assessment

Scout fatigue, weather, and training gaps create dangerous variability in diagnosis.

Blanket Treatment

Without spatial precision, farmers apply pesticides across entire fields, wasting 30-50% of inputs.

Reactive Decisions

Farm managers discover the real damage at harvest — when yield is already gone.

Fragmented Data

Weather stations, soil sensors, satellites — all siloed, none actionable alone.

Metric Status Quo TerraMind AI Impact
Yield Loss Discovered at harvest → 20-40% loss prevented
Chemical Usage Blanket application → 30-50% over-application avoided
Water Waste Uniform irrigation → 15-25% water saved
Forecast Error ±20-30% off target → ±10% precision modeling
Read the full problem analysis →
The Solution

One dashboard for your organization. One simple app for your farmers.

Detect early, not late

We identify sub-visible spectral signatures of plant stress 5-10 days before symptoms become visible to the human eye.

Act precisely, not broadly

Generate georeferenced prescription maps that target only affected zones, plugging directly into variable-rate sprayers.

Manage centrally, deliver locally

Your agronomy team sees the whole network in one enterprise dashboard, while every farmer gets alerts and prescriptions through a lightweight mobile app you deploy under your own program.

TerraMind AI Dashboard
Explore our solution →

The AI Stack Behind
Early Detection.

Our proprietary machine learning models turn raw pixels and sensor voltages into prescriptive agronomic intelligence.

Disease/Pest Classifier

CNN transfer learning (EfficientNet) on labeled regional crop datasets identifies disease or pest type from canopy imagery.

Lesion Segmentation

U-Net & Mask R-CNN semantic segmentation maps the exact affected area within a field for accurate severity scoring.

Stress Index Estimator

Multispectral index modeling combined with regression detects water and nutrient stress early.

Spread Forecaster

Spatiotemporal model combining micro-weather and detection history to predict how fast an issue will spread.

Yield Predictor

Gradient-boosted trees and temporal transformers forecast harvest yield under current interventions.

Prescription Engine

Rule-based agronomic logic layered on model outputs generates zone-specific treatment recommendations.

What data the AI uses

Multispectral drone imagery

IoT soil & weather sensors

Satellite NDVI history

Historical yield records

Regional disease datasets

See the full technology stack →

Built on Enterprise-Grade Cloud and GPU Infrastructure.

How We Use AWS

We use AWS to host backend APIs, store user and product data securely (Amazon S3 for all drone imagery and sensor telemetry), run AI workflows via ECS and Lambda, manage authentication, deploy scalable relational databases with Amazon RDS, serve frontend assets globally through CloudFront, monitor performance with CloudWatch, and support future machine learning features through Amazon Bedrock and related AWS AI services.

How We Use NVIDIA

We plan to use NVIDIA technologies to accelerate AI model development with CUDA, optimize inference speed for disease detection using TensorRT, process visual crop imagery and geospatial data workloads efficiently, run drone-mounted edge inference via NVIDIA Jetson modules, serve models at scale using Triton Inference Server, and improve real-time AI performance as the platform scales to thousands of farms.

CUDA
TensorRT
Jetson
Triton
AWS Bedrock
Amazon S3
ECS
CloudFront

6 features that change how farms operate.

Real-Time Disease Alerts

Push notifications with confidence scores and priority ranking straight to your device.

Prescription Treatment Maps

Exportable shapefiles compatible with major variable-rate sprayers and controllers.

Yield Forecast Dashboard

Updated after every flight cycle with narrowing confidence intervals.

Multi-Field Management

Centralized web dashboard for cooperative admins overseeing dozens of farms.

Offline Mobile Field App

iOS/Android with offline-capable maps and photo verification workflow for scouts.

Historical Benchmarking

Compare current season performance against prior years and anonymized regional peers.

See all features →
Mobile App UI

From field to forecast in 4 steps.

1

Deploy

Drones fly every 3-7 days. IoT sensors continuously monitor soil and microclimate.

2

Detect

Edge AI flags anomalies. Cloud models perform pixel-level disease mapping.

3

Prescribe

Engine translates detections into validated prescription maps and dosages.

4

Act & Learn

Managers receive alerts and act. Outcomes feed back into model improvement.

Market Opportunity

A $9.5B precision ag market growing at 12% CAGR.

  • Target orgs: Farming cooperatives, agribusinesses, NGOs, government agencies.
  • Initial markets: Sub-Saharan Africa, South Asia, LatAm, Southeast Asia.
  • Revenue model: Cooperative subscriptions, enterprise API access, and NGO/government licensing.
  • Growth: Pilot cooperative → Regional network → National agribusiness deployment.

Why Now

  • Input costs (fertilizer/chemicals) are at record highs, forcing efficiency.
  • Climate volatility is introducing novel pathogens to new regions.
  • Drone hardware costs have plummeted while edge AI capability has soared.
  • Regulatory pressure to reduce agricultural chemical runoff is increasing globally.

Traction & Status

  • 50-100 active users across pilot cooperatives and org partners today.
  • 70-85% detection accuracy validated against field-confirmed disease outbreaks.
  • Pilot programs active across 5,000 hectares in West Africa.
  • Onboarding additional cooperatives and one NGO partner this quarter.

Roadmap

Phase 1: Baseline Mapping

Initial drone flight to create high-res base map.

Phase 2: Sensor Deployment

Install IoT soil and weather sensors.

Phase 3: System Calibration

AI models calibrate to local crop varieties.

Phase 4: Routine Monitoring

Establish 3-7 day drone flight schedule.

Phase 5: First Intervention

System flags anomaly, generates prescription.

Phase 6: Yield Modeling

Continuous forecast updates based on intervention.

Star Metric
70-85%
Field-Validated Accuracy
Star Metric
50-100
Active Org. Users
5-10
Days Earlier
15-30%
Yield Gain
20-25%
Cost Saving

Built for Organizations, Priced for Scale.

Whether you run a single cooperative or a national extension program, choose the plan that matches how many farmers and hectares you manage.

Cooperative

For cooperatives and grower associations managing a shared farmer base.

$3 / hectare / season
  • Up to 5,000 hectares monitored
  • Cooperative admin dashboard
  • Farmer mobile app included
  • Disease & pest risk alerts
  • Email + WhatsApp support
Get Started
Most Popular

Agribusiness / Enterprise API

For agribusinesses and input companies integrating our models into their own systems.

$1,500 / month + usage
  • Full REST API access to detection models
  • Unlimited hectares, volume-based pricing
  • Multi-region network dashboard
  • Custom integrations & webhooks
  • Dedicated account manager
Get Started

NGO / Government

Discounted licensing for NGOs, extension programs, and government agencies protecting regional food security.

$1 / hectare / season
  • Nonprofit / public-sector licensing rate
  • Regional yield-protection reporting
  • Farmer app in local languages
  • Program impact analytics
  • Onboarding & training included
Get Started

Custom volumes or multi-country deployments? Talk to sales →

Leadership

Built by practitioners, for practitioners.

Farouk Ahmad

Farouk Ahmad

CEO & Co-Founder

Amara Osei

Amara Osei

CTO & Co-Founder

Meet our full team →

Ready to protect yields across your network?

Get Started for your cooperative, agribusiness, NGO, or government program.

We respond within 24 hours on business days. Your data is kept private and never sold.

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