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15 August 2025 | Story Martinette Brits | Photo Stephen Collett
Prof Yonas Bahta
Prof Yonas Bahta, Professor in the Department of Agricultural Economics at the University of the Free State, delivered his inaugural lecture on the future of agricultural trade and food security, titled Can We Own the Future? The Ever-Changing Dynamics of Agricultural Trade and Food Security Amid Intensifying Agricultural Drought.

With the world hurtling towards a population of 9,7 billion by 2050 – and Africa set to make up more than a quarter of that – the question of whether we can ‘own the future’ has never been more urgent. In his inaugural lecture at the University of the Free State (UFS), Prof Yonas Bahta from the Department of Agricultural Economics warned that climate change, trade tensions, and deepening food insecurity are converging to create unprecedented risks for farmers, economies, and communities.

“We find ourselves at a pivotal moment in human history, characterised by the intersection of climate change, particularly agricultural drought, resource scarcity, geopolitical instability, and the current trade reciprocal tariff, all of which pose significant threats to the foundational structures of global food systems,” he said.

 

From vulnerability to agency

Prof Bahta highlighted the stark reality that the world population is projected to reach 9,7 billion by 2050, with Africa constituting 2,5 billion. “Despite this growth, the agricultural sector predominantly operates at a subsistence level, with diminishing resources available to farming communities, especially smallholder farmers who rely on agriculture as their primary source of employment and sustenance.”

In South Africa, climate change – particularly agricultural drought – is affecting both commercial and smallholder farmers, with cascading effects on food security, employment, and livelihoods. Coupled with disease outbreaks, these factors lead to reduced crop yields, supply shocks, and trade imbalances that ripple through the economy.

Food insecurity remains a critical concern, with approximately 15 million South African households experiencing moderate to severe food insecurity – a figure even higher (25,5%) among households engaged in agricultural activities. Prof Bahta emphasised that these challenges are compounded by “institutional barriers such as the current trade reciprocal tariff by the USA, limited access to credit, crop and livestock insurance, inadequate road infrastructure, and electricity shortages”.

Despite these challenges, Prof Bahta sees clear opportunities. He pointed to Africa, including South Africa’s extensive arable land; research and innovation have highlighted the benefits of integrating traditional techniques with modern approaches such as climate-smart agriculture and its membership of BRICS and other trading partners as levers for resilience and growth. “Securing the future is not about mere assertion but about the stewardship of markets, data, and people,” he said. By aligning trade policy, drought preparedness, and social protection within robust institutions, “the country can transition from vulnerability to agency, from passively observing the future to actively shaping it. In doing so, we may indeed assert with integrity that ‘We own the future’.”

 

About Prof Yonas Bahta

Prof Yonas Bahta is a Professor and NRF-rated researcher in the Department of Agricultural Economics at the University of the Free State. He joined the UFS as a researcher in 2014 and has supervised more than 42 postgraduate students (both MSc and PhD), of whom 29 have completed their studies (10 PhD and 19 MSc).

He holds a PhD (2007) and MSc (2004, with distinction) in Agricultural Economics from the UFS, and a BSc (1994) in Agricultural Economics from Haramaya University, Ethiopia. Prof Bahta serves on the editorial boards of several journals, acts as a reviewer and guest editor, and is a member of several national and international professional bodies.

His work has been recognised with an award from the African Growth and Development Policy Modelling Consortium (AGRODEP), and in 2024 he was rated among the top 2% of researchers globally by Elsevier.

News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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