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05 June 2023 | Story Leonie Bolleurs | Photo Supplied
Prof Bahta
For the past three years, Prof Yonas Bahta has studied the resilience of smallholder livestock farmers in agricultural drought, and the competitiveness of agri-food commodities.

The agricultural sector is marked by farmers’ daily struggles, including price hikes, climate change effects, and pest and disease outbreaks.

Prof Yonas T Bahta, Associate Professor and astute National Research Foundation (NRF) C2-rated researcher in the Department of Agricultural Economics at the University of the Free State (UFS), found that smallholder farmers who received drought relief support saw an improvement in their welfare. The study also found that economic capital, social capital, human capital, and natural capital substantially affected the welfare of smallholder farmers.

Agricultural drought

These findings came from the study, titled: The resilience of households to agricultural drought in the Northern Cape province of South Africa. Prof Bahta’s aim with this study was threefold – to assess household resilience to agricultural drought among smallholder livestock farmers, to evaluate the welfare of smallholder farming households affected by agricultural drought, and to identify factors influencing agricultural drought resilience and food insecurity among smallholder livestock farmers.

During his investigation, he found that only 9% of the smallholder livestock farmers were resilient to agricultural drought. According to him, farming households with access to credit, farmers who received assistance from the government (such as training and feed) during drought, and farmers who are part of a cooperative proved to be more resilient to agricultural drought.

When it comes to food security, he discovered that assets, social safety nets, and indicators of adaptive capacity had a positive influence on households' ability to withstand food insecurity. Alternatively, climate change indicators negatively impacted households’ resilience to food insecurity.

For the past three years, he has studied the resilience of smallholder livestock farmers in agricultural drought. He believes that resilience – the ability to bounce back from adversities – is crucial.

According to him, both the smallholder livestock sector (farmers) and the agrifood industry need to develop resilience to effectively cope with and recover from agricultural drought, macroeconomic stability (inflation), competitiveness, productivity, and other related factors.

Competitiveness of agri-food commodities

Prof Bahta also launched investigations into the competitiveness of agri-food commodities in South Africa as well as Namibia.

The studies were titled: Competitiveness of Namibia’s Agrifood Commodities: Implications for Food Security and Competitiveness of South Africa’s Agrifood Commodities.

In these studies, he respectively looked at the competitiveness of South Africa’s and Namibia’s agrifood products, the factors that influence it, and its implication for food security.

In both countries, he discovered a combination of comparative advantage and disadvantage.

“South Africa and Namibia exhibited a trade structure that was less concentrated and not dependant on international trade in the agri-food industry, having minimal impact on Namibia's food security. The productivity of agriculture and GDP per capita positively influenced the comparative advantage of South Africa, whereas land productivity and GDP per capita influenced the degree of food insecurity in Namibia,” explains Prof Bahta the main research findings.

Research outputs

The study on the resilience of smallholder livestock farmers was supported by funding from the National Research Foundation. To explore the competitiveness of agri-food commodities, Prof Bahta collaborated with the Namibia University of Science and Technology (NUST), benefiting from their strong existing academic relationship. The UFS Office for International Affairs played a key role in facilitating this study, with research partnerships existing between the universities of both countries.

According to Prof Bahta, the findings of these two studies have resulted in the publication of more than 13 articles in journals ranking in the highest (Q1) and second highest categories (Q2) in the specific field. A paper will also be presented at the upcoming International Food and Agribusiness Management Association (IFAMA) international conference in New Zealand from 17 to 20 June 2023.

Furthermore, five popular articles on the main findings of the studies (written in non-technical language) were also published on these topics, focusing on the farmers and policy makers (as a policy brief and popular) as the target audience. These articles looked at, among others, the impact of policy intervention on food insecurity in times of shock; coping strategies of smallholder livestock farmers during food insecurity shocks; measuring the resilience of female smallholders in South Africa; and farming for success.

This study also resulted in the graduation of three master's students (two with distinction) and three honours students.

Looking ahead, Prof Bahta emphasises the necessity for conducting similar studies targeting both commercial and smallholder farmers, focusing on crops and livestock in various provinces across South Africa. He also feels that connections need to be established with universities besides NUST.

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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