AdminA team of Caleb University students from the Computer Science, Cyber Security and Software Engineering department has developed software named ‘Valor’ that has the ability to detect mango ripeness.
With Valor, which was described as “the Smart, Bold, Brainy, Savvy, Mango Master”, Caleb University team won the first position in a Hackathon competition held recently at Bell’s University.
Join our WhatsApp ChannelAccording to a statement from the school, the technology fuses Artificial Intelligence power with fruity precision, using advanced computer vision and deep learning models, thereby detecting ripeness in a snap.
It was strategically designed to leverage machine learning algorithms and image processing, as it classifies ripeness with impressive precision.
The team developed a state-of-the-art App that utilises machine learning and AI to detect whether a mango is ripe or rotten.
While hosting the team in his office, acting Vice Chancellor of Caleb University, Prof. Sunday Adewale, declared that the institution has become a hub for innovation and academic excellence. The Professor of Applied Mathematics added that “the success of Valor at Bell’s University Hackathon is a testament to Caleb University’s commitment to nurturing academic excellence, innovation, and real-world problem solving endeavours.
“As an institution, Caleb University fosters an environment that emphasises interdisciplinary collaboration, hands-on learning, and cutting-edge research, providing students with the tools and resources necessary to succeed in today’s rapidly evolving technological landscape.”
The Caleb University team members include Harmony Abayomi, a Software and Computer Vision Engineer; Nwachukwu Chibuzor, a Data and AI Engineer; and Efod Freda, a Data Analyst. “The team worked tirelessly to develop a product that not only highlighted their technical expertise but also provided a practical, market-ready solution for the agricultural industry,” the statement stated.
Apart from Team Valor, the second group named Team Sputter; developed an application named ‘Sputter”, that is capable of detecting fake news. Lawson Victor, Preye Onana and Jeffrey Daramola, made up the second crack team.
According to the Team Lead, Harmony Abayomi, “detecting ripeness and spoilage in mangoes remains a significant challenge for farmers, suppliers, and consumers. Identifying when a mango is perfectly ripe can be difficult.”
READ ALSO: Five Ways Fintech Users Can Protect Themselves From Growing Online Fraud
“Overripe fruits lead to wastage and loss of value, while under ripe ones fails to meet the expectations of consumers who want fresh, ready-to-eat and nutritious fruits. The importance of this App becomes expedient when one reasons that traditional methods, like visual inspection or physical feel, are often subjective and unreliable, which may result in good fruits being discarded or left unsold’, the computer science student emphasised.
Head of Computer Science Department in the school, Dr Adeniyi Akanni and Team Coordinator, Mr Bamise Ajala in a joint statement stressed that “the team’s winning product is a sophisticated web and mobile application that leverages advanced machine learning and AI algorithms.”
“This App can accurately determine the ripeness of mangoes by analysing images and data,” they added.
Indeed, the team’s pioneering work represents the intersection of technology and agriculture. The AI-powered mango ripeness detection App is not only a testament to technical expertise but also a symbol of the power of interdisciplinary collaboration.
