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17 May 2019 | Story Eloise Calitz | Photo Charl Devenish
Agribusiness Transformation Programme
At the launch of the programme during Nampo 2019 were, from the leftt: Anton Nicolaisen, Provincial Head: Free State and Northern Cape, Standard Bank; Prof Francis Petersen, Rector and Vice-Chancellor of the UFS; Mangi Ramabenyane, General Manager, Farmer Support and Development at the Department of Agriculture and Rural Development; Nico Groenewald, Head: Agri-Business at Standard Bank; and Bigboy Kokoma, farmer from Bothaville.


Bigboy Kokoma, a 33-year-old ‘young’ farmer, speaks with confidence and pride about his family farm in the Bothaville district. One hundred and forty-two hectares of land that has been in the Kokoma family since 2005 when his father established the farm. The farm specialises in livestock, mostly Bonsmaras, and vegetables. “I want to set an example to other young farmers and, through this, become an ambassador of inspiration to my generation.”

Bigboy has a Diploma in Financial Management. “Having this qualification is a step closer to understanding the financial management of the farm, but if you want to take the leap to become a commercial farmer, you need greater knowledge and understanding to get you there.”  He is excited to have been selected for the Agribusiness Transformation Programme, because this will bring him closer to his dream of becoming a commercial farmer, to contribute to the economy of South Africa, and it will assist him in taking his family legacy further.

He is one of 25 farmers in the country who was selected to take part in the Agribusiness Transformation Programme. The programme’s main objective is to develop black emerging farmers through structured, accessible, and relevant agricultural and entrepreneurship training in order to become economically viable commercial farmers that will have greater impact in the agricultural sector in the Free State.

Importance of agriculture

Globally, the agricultural sector faces multiple challenges: it has to produce food to feed an exponentially growing world population, with a smaller rural labour force, adopt more energy-efficient and sustainable production methods, manage limited natural resources and climate change, and contribute to socio-economic development. 
 
Agriculture is of fundamental importance, not only on a global scale, but also on the African continent; therefore, we are especially proud of the Agribusiness Transformation Programme that will, in the long run, enable 25 farmers to become productive and well-functioning agri-business contributors that provide solutions for the much-needed challenges in food security, job creation, and the development of agricultural products.
 
Value of strong partnerships

The programme is an initiative of the University of the Free State (UFS), Standard Bank, and the Free State Department of Agriculture and Rural Development. They believe that strong partnerships are needed in the development of black emerging farmers, and to drive change in the sector. What makes the partnership successful, is the multiple strengths and expertise that each partner provides.

The UFS has a strong Agricultural Sciences division, with experience in training farmers in formal undergraduate and postgraduate programmes, as well as short courses.  The UFS Centre for Development Support has a solid record of developing entrepreneurs and university’s Innovation Office is at the forefront of technology transfer.

“The UFS is applying its strengths in education, training, innovation and technology transfer to ensure the development of these 25 farmers. We are excited to take the lead in this program and to ultimately contribute to a productive and well-functioning agri-business sector in South Africa. The impact of the programme is wide and the future brings possibilities of developing a model that will be replicated in the rest of South Africa and Africa,” says Prof Francis Petersen, Rector and Vice-Chancellor of the UFS.

Standard Bank has strong expertise in financing the agricultural sector, stimulating enterprise development and SMMEs, and providing financial services to the public sector.  The Department of Agriculture and Rural Development provides services to farmers who have access to land.

Programme launched at Nampo 2019

The programme was fittingly launched at Nampo on 15 May 2019, bringing together leaders in agriculture, business, the media, and influencers in the sector to engage and meet with the 25 farmers. The discussion at the launch again reiterated the importance of this programme and the level of skills transfer this partnership will mobilise.



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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