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29 February 2024 | Story Leonie Bolleurs | Photo SUPPLIED
Dr Lindie von Maltitz
Dr Lindie von Maltitz spoke at DESTEA’s Free State Investment Conference (27 February), which was hosted on the UFS Bloemfontein Campus. In her presentation, she highlighted, among other points, the advantages of the UFS as a strategic partner in the agricultural sector.

Dr Lindie von Maltitz, a Lecturer in the Department of Agricultural Economics at the University of the Free State (UFS), contributed to the programme of the Free State Investment Conference (27 February), which was presented by the Department of Economic, Small Business Development, Tourism, and Environmental Affairs (DESTEA).

The primary objective of the conference, held in the Centenary Complex on the UFS Bloemfontein Campus, was to promote the province as an investment destination of choice and to showcase strategic investment projects across different municipalities. Additionally, the conference sought to connect local businesses with local and international investors and opportunities.

Representatives from financial institutions, academic institutions, national and provincial government departments, chambers of commerce, corporates, investors, and embassies attended the conference, which was opened by Councillor Gregory Nthatisi, the Executive Mayor of the Mangaung Metropolitan Municipality. The honourable Mxolisi Dukwana, the Premier of the Free State, delivered the keynote address.

The sectors covered by the presentations at this conference included mining and gas extraction, transport and logistics, energy, infrastructure, tourism, and the agriculture and agro-processing sector. Dr Von Maltitz’s presentation, ‘Required investment to improve the performance of the agricultural sector in the Free State’, focused on the latter sector.

Representing the UFS in the session ‘Driving Inclusive Growth and Food Security: Agriculture’ – Dr Von Maltitz first focused on what agriculture in the Free State entails, and how it relates to the rest of the country. She then provided a brief overview of the role and importance of agriculture in the South African and Free State economy, adding to that the advantages that investment in the agricultural sector in the Free State will bring.

Numerous possibilities for investment in the sector

According to Dr Von Maltitz, the agricultural sector in the Free State is of vital importance to its economy. “Our income from agriculture and its related industries is the second largest in the country, after the Western Cape. There are numerous possibilities for investment in the sector, not limited to production, but expanded to the entire agricultural value chain. Connecting with the right strategic partners can ensure the success of investment projects. The UFS can contribute as a strategic partner, bringing knowledge, expertise, research, and local and global networking to the table,” she stated.

The importance of investing in the agricultural sector, according to Dr Von Maltitz, is linked to two of South Africa’s biggest challenges: unemployment and poverty. “Investing in agriculture addresses both of these issues. Jobs are created for both unskilled and skilled labour while producing and processing food. The higher agricultural investment is on the agenda, the better for economic growth in our province and country,” said Dr Von Maltitz.

"With food security for a global population that has expanded from 2,5 billion in 1950 to 7,9 billion in 2021, agriculture and its related industries are the sector that will remain important until time immemorial,” remarked Dr Von Maltitz.

She is of the opinion that the Free State presents many opportunities for this sector. Dr Von Maltitz believes there are very few agricultural products that cannot be produced in the Free State. “For example, fruit produced in our province is market-ready before that of the Western Cape. This allows us to access local and international markets early, when prices are higher due to a supply shortage. Because we have cold temperatures in winter, our area has fewer livestock diseases than those found in other parts of the country,” she added.

“Assured by a supportive policy environment, functional infrastructure, and expert knowledge base, investors can be encouraged to invest in the agricultural sector in the Free State,” said Dr Von Maltitz.

In the Free State, however, the development of the agricultural sector is facing several challenges. In her view, failing infrastructure and load shedding are the biggest problems. “Our roads are among the worst in the country, making timely access to markets more difficult. Load shedding has an enormous impact on any processing facility. Climate change is something we need to incorporate into our planning process, continuously developing new risk management strategies for the sector,” she elaborated.

Advantages of the UFS as a strategic partner

She stated that the Free State is an agricultural hub open to many more possibilities. “Speaking as a representative of the UFS, I want to highlight the advantages for investors of the UFS as a strategic partner. Our Faculty of Natural and Agricultural Sciences is one of the best in the country and offers knowledge, skills, and expertise in every field related to agriculture, including soil scientists, animal scientists, climate scientists, crop scientists, wildlife and grassland scientists, plant breeders and pathologists, agronomists, agrometeorologists, and agricultural economists. The value we offer can be attractive to investors who will be reassured by our competence, as supported in the university’s Vision130, which defines our values, namely excellence, innovation and impact, accountability, care, social justice, and sustainability,” Dr Von Maltitz said.

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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