From RFID-GPS ear tags in the field to SMS alerts on a Nokia 105 — we are building a six-layer technology stack that delivers early warnings and veterinary traceability to the people who need it most. Here is what we are building and why.
Five processing stages will convert raw GPS pings and environmental signals into actionable messages in under 30 minutes.
RFID-GPS tags + USSD farmer reports + environmental data
PostGIS pipeline processes and geo-references incoming data
ML models score drought and disease risk per woreda
Risk thresholds trigger targeted notification queue
SMS / USSD in Amharic, Afaan Oromo, or Somali
Each layer is designed to work independently and together — so progress on one creates immediate value, and all layers compound as the platform matures.
Each animal receives a tamper-evident RFID-GPS ear tag that creates a unique digital identity. The tag stores ownership details, GPS location, movement history, vaccination records, and treatment logs — giving vets and insurers a complete, verifiable profile for every animal.
We are building machine learning models that analyse environmental and livestock data to identify early signatures of drought stress and disease risk — issuing warnings weeks before visible symptoms appear. Models will be trained on historical satellite data and calibrated with local veterinary field data.
All farmer-facing alerts, vaccination reminders, and grazing advisories are delivered via SMS and USSD — ensuring farmers in areas without smartphones or internet still receive timely guidance. The interface will support Amharic, Afaan Oromo, and Somali from day one.
Every vaccination, treatment, and health observation will be recorded against the animal's digital ear tag ID. Veterinary clinics, Ministry of Agriculture extension workers, and research institutes will all contribute to — and benefit from — a shared traceability system.
Verified digital livestock records — shared with farmer consent — will enable banks and microfinance institutions to assess livestock as loan collateral, and insurers to price livestock risk accurately. This is a future layer built on the foundation of reliable digital identity.
The platform is being built on a Supabase Postgres backend with PostGIS extensions for geospatial queries. A Next.js web dashboard will serve vets, government officials, and NGO partners, while the farmer-facing interface is optimised for USSD and SMS channels.
We are designing the platform to ingest eight data sources. We are actively building the hardware and field data layers first, with satellite integrations following.
NASA MODIS
Land surface temperature & vegetation indices
CHIRPS
Rainfall estimates at 5km resolution
ESA Copernicus
Soil moisture & land cover data
Ethiopian MoA
Livestock census & disease outbreak records
Vet Clinics
Vaccination & treatment records via our portal
Farmer USSD
Real-time herd status reports from farmers
RFID-GPS Tags
Animal GPS location & movement data
FEWS NET
Famine early warning system indicators
Our MVP prioritises the three components with the highest immediate impact: the RFID-GPS ear tag for animal identity, a basic USSD herd reporting channel, and SMS early warning alerts triggered by environmental risk signals.
Before scaling, we will validate alert accuracy with local veterinary extension workers and calibrate our models with community feedback — ensuring the technology is trusted before it is deployed at scale.
We are open to co-development with universities, technology institutions, and research organisations working on climate adaptation, livestock systems, or agricultural data.