A team of CMU Australia students have built AI predictive models for forecasting future temperatures to improve grape quality and assess pollution from a single photograph.
Their work has taken out a top place in a recent Adelaide innovation competition.
Nitish Bajaj, Simeone Freeman, Sijia Peng, Freedierick Claud and Joyce Gatchalian teamed up to build the predictive models using Runlinc, a rapid Wi-Fi web-based programming environment using IoT, machine learning and AI.
The Masters students worked on the models as part of their e-Business and Technology Management class with Professor Riaz Esmailzadeh and were encouraged to showcase the projects in the Royal Adelaide Show Innovation Competition by their project host Miroslav Kostecki from elabtronics and STEMSEL Foundation.
The predictive weather/temperature model is designed to predict future consumption based on predicted temperatures. This information is then fed into a fully-automated procurement and inventory management and ordering system.
When coupled with Runlinc powered moisture sensors, the predictive weather/temperature model can also be used to improve the quality of grapes by ensuring the correct water levels are applied to the crop at the right time. Not only does this result in good resource management and cost saving, it ultimately improves the quality of the wines by producing higher quality grapes.
The students’ air quality reporting system used AI and machine learning to train an algorithm that can assess the level of CO2 and other bad pollutants in the environment from a single photograph.
The system enables people living in highly polluted cities to make informed decisions about going out in high pollution days. Which is particularly important for people who suffer from allergies and asthma.
Over 20 international teams competed in the Innovation Competition with Nitish, Simeone, Sijia, Freedierick and Joyce taking out a commendable second place.
The Innovation Competition was hosted by Royal Adelaide Show which showcases South Australia’s horticultural and agricultural sectors. Competitors were required to design and build products and services focusing on community-building and environmental management.
Digital STEMSEL Foundation (Science Technology Engineering Maths Social Enterprise Learning) was founded in Adelaide. It is a not-for-profit organization run by university students from fields of engineering and business and is dedicated to teaching the next generation about building blocks of modern economy, ie microchip applications and programming, with strong emphasis on Social Enterprise Learning.
Nitish, Simeone, Sijia, Freedierick and Joyce are Master of Science students at Carnegie Mellon University Australia studying information technology management.