AI for Social Good

Revolutionizing Agriculture with AI

AgriVision AI empowers smallholder farmers with AI-powered crop disease diagnosis to reduce losses, boost yields, and promote sustainable farming.

Diagnose Crops Join Us
Aligned with SDG 2 (Zero Hunger), SDG 1 (No Poverty), and SDG 9 (Industry, Innovation & Infrastructure).
About AgriVision AI

We combat food insecurity and poverty by transforming farms into data-powered farmlands with accessible, intelligent tools.

  • AI-driven crop disease diagnosis.
  • Multilingual audio and offline access.
  • Dedicated support via call center.
20–40%
Crop losses in developing nations.
>90%
Target AI diagnostic accuracy.

The Problem

Crop diseases threaten food security and livelihoods, especially in developing nations like Africa, causing 20-40% yield losses. Limited access to timely, accurate information perpetuates poverty and food insecurity.

Our mission is to empower farmers with tools for early disease detection and actionable advice, regardless of literacy or connectivity.
Market Opportunity
  • Global Agritech: $23.5–$24.42B (2022–2024), projected to $48.98–$79.7B by 2030.
  • Agriculture AI: $1.4–$2.1B (2022–2023), projected to $7.1–$7.97B by 2030.
  • Crop Disease Detection: $1.7–$2.2B (2022–2024), projected to $2.68–$8B by 2028–2032.
  • Africa Agrifoodtech: $1.56B raised (2014–2024), with growing mobile penetration.

Our Solution

  1. AI Disease Detection: Instant diagnosis via smartphone photos.
  2. Audio & Multilingual Support: Accessible for non-literate users.
  3. Offline Capability: Works in remote areas without internet.
  4. Dedicated Agri-Call Center: Expert consultations for complex issues.
  5. Farmer Training & Support: Workshops for digital adoption.
Current Traction

Web MVP detects rice diseases with positive feedback.

Why Mobile

Offline access and audio guidance for rural accessibility.

Our Competitive Edge
  • Unmatched accessibility with offline and multilingual audio.
  • Comprehensive support with call center integration.
  • Pure focus on crop disease diagnosis and advisory.
Diagnose Crops
From web MVP to mobile app with audio/offline features, scaling via partnerships.

Competitive Edge

Competitor / Approach Typical Limitations Our Advantage
Plantix Text-heavy; needs reliable internet; lacks audio/local language. Audio + Local Languages, robust offline capability.
Nuru AI Limited crops; no integrated human support channel. Wider crop range + integrated call center.
AgUnity Focus on blockchain transactions and cooperatives. Pure diagnosis & advisory focus for depth.
Tumaini App Narrower crop focus; less multi-channel support. Broader crop scope + audio/call center.
AgriPredict / Image-based apps Depend on image quality & internet; limited localized advice. Resilient offline mode + comprehensive advisory.
Traditional Extension Services Limited reach; slow updates. Instant, scalable access to diagnosis and advice.
Basic SMS Services Text-only; no image recognition or rich media. AI image diagnosis + audio and visual education.

Team Behind the Vision

Isaac Richard Malan
Team-lead • PhD, Central South University
Computer Science • Ghana
Alpha Alimamy Kamara
Co-lead • PhD, Central South University
Computer Science • Sierra Leone
Anita Afra Arthur
Member • PhD, Sichuan Agricultural University
Agricultural Economics & Management • Ghana
Alphonse Assaye Malan
Member • Bsc, Ingel Technologies
DevOps • Ghana
Pius Foray
Member • Masters, Central South University
Computer Science • Sierra Leone
Mohamed Papezo Kargbo
Member • Masters, China Agricultural University
Rural Dev't & Management Studies • Sierra Leone
Yarrow Mary Anaam-pok
Member • Masters, Jiangxi University of Finance & Economics
Finance • Ghana
Prof. Kris Singh
Advisor • CEO at SRII
Ex-IBM, AMD, Intel • Silicon Valley • Visiting Prof., Tsinghua; Professor of Practice, University of Newcastle

Partnerships & Future Growth

Strategic Partnerships
  • NGOs in agriculture for deployment channels.
  • Mobile network operators for distribution.
  • Local universities for testing and training.
  • Farmer cooperatives and government ministries.
Q3 2025

Complete mobile app prototype and initiate testing in 2 regions.

Q4 2025

Deploy beta with audio support, offline mode, and initial call center functionality.

Q1 2026

Reach 10,000 farmers and onboard 5 strategic partners.

Q2 2026

Officially launch v1 and begin revenue generation.

Q3 2026

Close Series A and expand to 3 new countries.

Join Us

Interested in partnering, investing, or piloting our solution? Let's transform agriculture together.

Quick Links
Headquarters
Africa-focused • Remote-first
Support
Audio advice & call center (planned)
Privacy-friendly: We aggregate and anonymize data for insights when applicable.
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