Unavailable weather data affects the ability for local communities to make decisions, making them vulnerable to adverse weather conditions.
Kandaweather NFTs are using blockchain tech to change that. 1 NFT = 1 Sensor deployed in a rural community around the world.
Mint a Kanda Weather NFT and deploy a remote weather sensor to empower farmers to protect their crops and assist city residents in mitigating urban flooding. Join us in creating a sustainable future through innovative and data-driven solutions.
The real-time weather data collected from these sensors will inform important decisions on:
There will be 100 sensors to mint, 20 with in each of the 5 regions.
After minting, your sensor will be deployed and activated with in it’s region.
Access your dashboard and receive updates on your sensor’s data & impact
Nick is Founder of Kanda Weather, a Block Producer on the Telos blockchain. He comes from a scientific background, where his past research ranges from ocean to atmosphere monitoring and observation. This includes analysis of ocean-atmosphere fluxes measured by NOAA ships in the Gulf of Mexico, as well as scientific programming for the GOES-16 weather satellite proving-ground at NASA Goddard Space Flight Center from 2016 to 2018. He currently is looking at novel weather data collection and forecasting methods using Internet of Things (IoT) and machine learning.
Emmanuel lives in Uyo, Nigeria and has been with Kanda Weather for 2 years working on social media for the project. He studied electrical engineering at the university and has assisted many engineering, radio broadcasting, and blockchain companies in the past. His developing IoT and computer networking skills allowed us to launch many weather balloons over the past 2 years at the University of Uyo. His current company Chaindustry assists clients with blockchain advice and knowledge sharing.
Adamson Oloyede is a PhD researcher at the University of Uyo’s Advanced Space Technology Applications Laboratory (ASTAL), which is associated with Nigeria’s National Space Research and Development Agency (NASRDA). His previous work includes analyzing errors in NiMet’s temperature predictions across the state of Akwa Ibom. His machine learning experience makes him a great collaborator for Kanda Weather’s weather data collection and forecasting.