An Indian-origin high school student in Canada has gained national recognition after winning a prestigious data science competition for her innovative use of artificial intelligence to predict crop diseases. Gurnoor Kaur, a Grade 11 student at Central Peel Secondary School in Ontario, secured first place at the National High School Big Data Challenge organised by STEM Fellowship. Her research focused on forecasting climate-driven wheat pathogen outbreaks across North America using big data and AI tools. By analysing environmental patterns linked to disease spread, Kaur’s project demonstrated how advanced computational methods can help anticipate agricultural risks, offering potential solutions to global challenges connected to food security, climate change, and sustainable agriculture.
AI project that won Gurnoor Kaur the National High School competition
Kaur’s project examined how climate conditions influence the spread of pathogens that affect wheat crops. Wheat diseases often thrive under specific environmental conditions such as higher humidity, warmer temperatures and particular rainfall patterns.Using large open datasets, she analysed climate records alongside historical information about crop disease outbreaks. Artificial intelligence models were then used to detect patterns within the data and forecast where and when wheat pathogens might appear. Such predictive modelling can help farmers and agricultural agencies identify high-risk periods and regions before infections spread widely.The ability to anticipate outbreaks could allow for earlier monitoring, targeted treatment and more efficient disease management in farming systems.
Linking climate change to crop disease risks
One of the key goals of Kaur’s research was to explore how changing climate conditions could influence agricultural disease patterns. Scientists have increasingly warned that shifting temperatures and precipitation levels may create more favourable environments for plant pathogens.By incorporating climate variables into her predictive models, Kaur’s work aimed to understand how warming trends or unusual weather patterns could alter the geographic spread of wheat diseases. Insights from such research could help researchers and policymakers prepare for agricultural disruptions caused by climate change.
Competition highlights student research and data science
The National High School Big Data Challenge is a four-month experiential research programme that allows students to conduct independent projects using open datasets and data science tools. Participants develop their studies over several months and present their findings through research posters and short thesis-style presentations.Kaur presented her work at the programme’s Eastern Conference hosted at the University of Toronto. Her project also earned a $1,200 Scale AI award, recognising the strong application of artificial intelligence to a real-world problem.
A young leader in STEAM
Beyond the competition, Kaur is actively involved in promoting science and technology education among students. She currently serves as president of the STEAM Collective at Central Peel Secondary School, where she encourages peers, particularly young women, to pursue opportunities in science, technology, engineering, arts and mathematics.Her academic achievements extend beyond data science competitions. Kaur has previously won first place in the NSS Gerard K. O’Neil Space Settlement Contest and presented her work at the International Space Development Conference. She has also contributed science articles to the Global STEM Youth Journal and worked as an artificial intelligence apprentice with the Creative Destruction Lab.With her latest achievement, Kaur’s research highlights how young scientists are increasingly applying artificial intelligence and data science to tackle pressing global issues in agriculture and environmental sustainability.
