IoT Into the Wild Contest for Sustainable Planet 2022

TinyWild, a low cost on-the-edge realtime data stack for wildlife survey, makes flexible edge IoT data stack in book-sized green space.

Detect tree diseases and get informed of the results via MMS to prevent them from spreading and harming forests, farms, and arable lands.

To accelerate our smart and sustainable living conditions for low-income farmers and businesses using solar, AI, and IoT

A simple bee monitoring system that uses sensors and AI vision to facilitate bee care

A model to identify and report possible incident of cyanobacterium in water sources to prevent the tragic deaths of the African Elephants.

Intelligent acoustic monitoring made accessible

Measuring weather data 32, 000 feet above West Africa using the Helium LoRaWAN network.

Agricultural monitoring system to aid farmers to manage their crops, maximize yield, reduce effort and optimize processes with technology.

Optimizing garbage truck routes with smarter trash cans

This idea aims to provide a solution to generate early warnings that allow timely reaction to disasters due to floods or avalanches.

Agricultural monitoring system with AI for the automation of processes, capacity for prevention and detection of pests and diseases.

I have designed and built a prototype of an underwater robot with ARM technology AI. For the monitoring, cartography and data collection.

Fight Fire is a wildfire prediction device that will help the firefighting authority to respond quickly to the wildfire.

A POC for the build of AI object recognition camera's to detect and count Little Blue Penguins as they come ashore and go to sea.