Open for Applications
Solar-Powered Cold Chain Monitoring for Rural Clinics
Program / Project
Description
R&D for low-cost, IoT-enabled sensors designed to monitor the integrity of vaccine and medicine storage in off-grid medical facilities.
Category / Thematic Area
Agritech & Artificial Intelligence
Grant Value
$25,000 Equity-Free
Advisor Selection
Dr. Aisha Rahman, Head of Data Science at NITDA
Research Partner Name
Google Research Africa & International Institute of Tropical Agriculture (IITA)
Start — End Date
January 30, 2026
–
February 15, 2026
Target Applicants
This project seeks to build a localized predictive engine using satellite imagery and IoT soil sensor data to provide actionable harvest timelines for maize and cassava farmers.
Background
West African smallholder farmers face up to 40% crop loss annually due to unpredictable climate shifts and late pest detection. Current generic weather models lack the granularity needed for local micro-climates.
Abstract
This project seeks to build a localized predictive engine using satellite imagery and IoT soil sensor data to provide actionable harvest timelines for maize and cassava farmers.
Objectives
Develop an ML model with 85%+ accuracy for seasonal yields. Integrate data from 500 local soil sensors across 3 regions.
Publish a peer-reviewed paper on localized climate adaptation.
Attachments
#Technical_Brief_AgriAI.pdf
#Data_Privacy_Protocol.docx