Autonomous Precision Agriculture

Farming Reimagined by AI Robots

Curanova deploys AI-powered autonomous robots that weed, spray, harvest, and monitor your fields 24/7 — replacing chronic labour shortages with precision intelligence that never sleeps.

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24/7Robot Operation
90%Herbicide Reduction
3–5×Labour Savings
The Crisis

Agriculture Is Breaking Under Structural Pressure

Commercial farming is confronting chronic labour shortages, accelerating climate volatility, and soaring input costs — all while global food demand rises relentlessly. The 20th-century model of human-operated heavy machinery cannot meet a 21st-century food security challenge.

  • Global food production must increase 70% by 2050 to feed 9.7 billion people
  • Average farm operator age has reached 57 years — a workforce ageing out
  • Up to 40% of crops lost in Sub-Saharan Africa due to post-harvest inefficiency
  • Agriculture accounts for 70% of global freshwater withdrawals
70% More food needed by 2050
57 Average farmer age (years)
40% Post-harvest crop loss
500M+ Smallholder farms globally
Agricultural field
Our Solution

Autonomous Robots. Real Results.

Curanova's AI-powered robot fleet works around the clock — monitoring, weeding, spraying, and harvesting with precision that human labour cannot match. Each robot replaces 3–5 seasonal workers while generating a continuous stream of precision field data.

Laser Weeding

Millimeter-accurate thermal laser targeting destroys weeds at the root with zero crop disturbance. No chemicals required.

AI-Guided Spraying

Computer vision identifies exact pest and disease targets. Reduces herbicide and pesticide use by up to 90%.

Live Fleet Dashboard

Monitor your entire robot fleet from any device. Real-time telemetry, alerts, coverage maps, and yield forecasts.

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AI Technology

The Intelligence Behind the Machine

Our AI pipeline spans from satellite orbit to field edge — processing petabytes of agricultural data to drive autonomous decisions in real time. Every robot is powered by NVIDIA Jetson edge compute with CNN computer vision models that see what the human eye cannot.

  • CNN computer vision identifies crop disease 7–14 days before visible symptoms
  • ML models forecast pest pressure 2–3 weeks in advance
  • GPU-accelerated inference runs offline on each robot unit
  • AWS Bedrock generates natural-language farm insight reports
View Technology Stack →
Curanova AI Dashboard
Autonomous agricultural robot operating in the field

Curanova Robot Fleet

AI-powered autonomous units operating 24/7 across commercial farmland

Precision agriculture harvesting

Precision Harvesting

Computer vision-guided robotic arms delivering gentle, accurate crop collection

Infrastructure

How We Use Cloud & GPU Infrastructure

Curanova is built on enterprise-grade cloud and GPU infrastructure that scales from a single pilot farm to a continent-wide autonomous fleet.

How We Use AWS

Cloud Scale & AI Services

We use AWS to host backend APIs, store user and product data securely, run AI workflows, manage authentication, deploy scalable databases, serve frontend assets, monitor performance, and support future machine learning features through Amazon Bedrock and related AWS AI services.

Amazon S3 RDS PostgreSQL Lambda / ECS CloudFront Amazon Bedrock CloudWatch

How We Use NVIDIA

GPU Compute & Edge AI

We plan to use NVIDIA technologies to accelerate AI model development, optimize inference, process visual/audio/data workloads, and improve real-time AI performance as the platform scales. Jetson modules on every robot enable on-device inference without internet dependency.

CUDA Toolkit TensorRT Jetson Orin Triton Inference RAPIDS DeepStream SDK
Market Opportunity

Capturing a $23.1 Billion Market

The global precision agriculture market is growing at 16.3% CAGR — driven by chronic labour shortages, climate pressure, and declining AI inference costs. Curanova is positioned at the intersection of all three forces.

$23.1B Global Precision Ag Market by 2030 (16.3% CAGR)
$9.5B Current TAM (2024) — growing fast
  • Initial markets: Nigeria, Ghana, Kenya, South Africa
  • Revenue: Hardware leasing (RaaS), AI subscriptions, data analytics
  • Phase 6 target: Pan-Africa and global expansion

Why Now?

01
Climate Volatility

Disrupting traditional growing seasons. Precision AI is the only adaptive strategy that responds in real time.

02
Labour Shortages

Average farm operator age is 57. Rural youth are leaving. The labour model is structurally broken.

03
Tech Feasibility

AI inference costs dropped 10x in 5 years. 60% of smallholders now have smartphone access.

Traction

Early Momentum

3

Pilot farms onboarding in Nigeria and Kenya

47

Farmers on the waitlist

2

Agricultural cooperatives with letters of interest

MVP

Robot hardware in active field testing

Leadership

The Team Behind Curanova

A rare intersection of deep agricultural domain expertise and Silicon Valley-tier AI engineering.

Dr. Amara Osei

Oselu Fortunatus

CEO & AI Researcher

Ex-CGIAR researcher. Ph.D. in Computer Vision applied to agriculture. Led AI crop monitoring programmes reaching 40,000 smallholder farmers across Ghana and Nigeria.

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Fatima Al-Rashid

Fatima Al-Rashid

CTO & Robotics Engineer

12 years building ruggedized autonomous rovers for mining and industrial applications. Expert in SLAM navigation and NVIDIA Jetson edge AI deployment.

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Meet the Full Team →
Get Started

Ready to Automate Your Farm?

Join our pilot programme and see Curanova robots operating in a real field environment. Our engineering team handles everything from site survey to handover.

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