Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
12 November 2025 | Story Vuyelwa Nkoi | Photo Supplied
SDG Challenge
Interdisciplinary innovators from the Faculty of Natural and Agricultural Sciences – Njabulo Dlamini, Vuyelwa Nkoi, Hanipher Mili, Gugulethu Nhlapho, and Almaré de Bruin – winners of the 2025 SDG Challenge South Africa.

A dynamic team of students from the University of the Free State (UFS) has secured first place in the 2025 SDG Challenge South Africa – a prestigious competition that unites students and industry partners in addressing real-world issues aligned with the United Nations Sustainable Development Goals (UNSDGs). This outstanding achievement celebrates the creativity, collaboration, and strong commitment of UFS students to building a more sustainable and inclusive future.

Hosted by Soapbox South Africa, the SDG Challenge pairs student teams with industry experts to co-design practical solutions to pressing societal needs. Competing against leading institutions – including the University of Pretoria, University of Zululand, University of Johannesburg, the University of the Witwatersrand, and the University of KwaZulu-Natal – the UFS students distinguished themselves with a community-driven, scalable approach.

The winning UFS team consisted of Almaré de Bruin, Njabulo Dlamini, and Vuyelwa Nkoi from the Department of Sustainable Food Systems and Development, as well as Hanipher Mili and Gugulethu Nhlapho from the Department of Agricultural Economics – reflecting a powerful interdisciplinary collaboration.

 

Innovative Agrihub solution for community sustainability

Partnering with Ivanplats mine, the students developed a holistic solution to reduce food insecurity and promote environmental sustainability in resource-limited communities in Mokopane.

Their innovative project, built around a WhatsApp-based Agrihub, enables agricultural knowledge sharing, market access, and community engagement. The solution included the following:

  • A WhatsApp Agrihub platform for real-time agricultural support
  • An Implementation Manual for community rollout
  • A low-cost irrigation prototype designed for small-scale gardens
  • A scalable model for replication in other communities
  • A final showcase presentation demonstrating its feasibility and long-term impact

To reduce surplus produce waste and create entrepreneurial opportunities, the team also produced value-added products – including pickled beetroot and carrot preserves – in the UFS food lab.

The Agrihub doubles as a community marketplace where residents can sell both fresh produce and recyclables. A R20 subscription fee supports local facilitators and content creators, promoting sustainability and community ownership.

Their project advances multiple UNSDGs, notably Zero Hunger, Responsible Consumption and Production, Climate Action, and Decent Work and Economic Growth.

“This victory is a testament to the calibre of our students and the mentorship they receive,” says Prof JW Swanepoel from the Department of Sustainable Food Systems and Development. “Their innovative thinking and commitment to real-world impact reflect the values of the University of the Free State.”

The UFS team’s success not only underscores their potential as emerging leaders in sustainability, but it also affirms the university’s growing role in driving development and resilience across African communities.

News Archive

Researcher works on finding practical solutions to plant diseases for farmers
2017-10-03

 Description: Lisa read more Tags: Plant disease, Lisa Ann Rothman, Department of Plant Sciences, 3 Minute Thesis,  

Lisa Ann Rothman, researcher in the Department of
Plant Sciences.
Photo: Supplied

 


Plant disease epidemics have wreaked havoc for many centuries. Notable examples are the devastating Great Famine in Ireland and the Witches of Salem. 

Plant diseases form, due to a reaction to suitable environments, when a susceptible host and viable disease causal organism are present. If the interactions between these three factors are monitored over space and time the outcome has the ability to form a “simplification of reality”. This is more formally known as a plant disease model. Lisa Ann Rothman, a researcher in the Department of Plant Sciences at the University of the Free State (UFS) participated in the Three Minute Thesis competition in which she presented on Using mathematical models to predict plant disease. 

Forecast models provide promise fighting plant diseases
The aim of Lisa’s study is to identify weather and other driving variables that interact with critical host growth stages and pathogens to favour disease incidence and severity, for future development of risk forecasting models. Lisa used the disease, sorghum grain mold, caused by colonisation of Fusarium graminearum, and concomitant mycotoxin production to illustrate the modelling process. 

She said: “Internationally, forecasting models for many plant diseases exist and are applied commercially for important agricultural crops. The application of these models in a South African context has been limited, but provides promise for effective disease intervention technologies.

Contributing to the betterment of society
“My BSc Agric (Plant Pathology) undergraduate degree was completed in combination with Agrometeorology, agricultural weather science. I knew that I wanted to combine my love for weather science with my primary interest, Plant Pathology. 
“My research is built on the statement of Lord Kelvin: ‘To measure is to know and if you cannot measure it, you cannot improve it’. Measuring the changes in plant disease epidemics allows for these models to be developed and ultimately provide practical solutions for our farmers. Plant disease prediction models have the potential ability to reduce the risk for famers, allowing the timing of fungicide applications to be optimised, thus protecting their yields and ultimately their livelihoods. I am continuing my studies in agriculture in the hope of contributing to the betterment of society.” 

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept