Indigenous knowledge for agricultural development: a framework for potato farming in Bui division, North West Region of Cameroon
- Authors: Ngek, Shillie Peter
- Date: 2018
- Subjects: Agriculture -- Economic aspects -- Cameroon -- Bui , Agricultural industries -- Cameroon , Sustainable agriculture , Sustainable development , Indigenous peoples
- Language: English
- Type: Thesis , Doctoral , DBA
- Identifier: http://hdl.handle.net/10948/33703 , vital:32974
- Description: Over the years, people have planned and carried out their activities depending on their indigenous knowledge base. In agriculture, documented importance of indigenous knowledge has been noted in different ways such as in crop health management, soil nutrient management, and food processing and food preservation. Indigenous smallholder farmers across the world have developed techniques that reflect their intimate knowledge of their local environments and ecosystems to improve their agricultural yields and minimise postharvest losses. However, such indigenous knowledge techniques are rarely documented or enhanced to boost agricultural practice and ensure food security. The present study has identified potato farming in Cameroon as a potential contributor to the socio-economic development of farmers, their communities and their country. The potato farming industry largely consists of smallholder farmers, predominantly women, producing primarily of immediate consumption. Historically, these farmers have been sustaining their farms through indigenous knowledge and practices that are not being exploited to the fullest beneficial opportunities for these farmers. It has often been suggested that Western highly mechanised approaches should be implemented to commercialise these farms in order to access these benefits. These approaches of mechanisation require large capital outlays, which these smallholder farmers cannot afford, hence the approach taken by the present study to capitalise on the indigenous knowledge and practices of these farmers. The present study argued that working with the existing indigenous knowledge and practices of these farmers, a level of commercialisation, with the resulting job creation and economic benefits, could be achieved. This study has succeeded in identifying the causes of postharvest potato losses on the smallholding farms, the obstacles in reducing these losses and the techniques to reduce these losses. The study provides important recommendations to improve smallholder potato farming in Cameroon. By implementing the findings of this study, the Cameroon government, prospective potato farmers, entrepreneurs, traditional authorities and NGOs could make a significant contribution to the improvement of socio-economic conditions and the reduction of poverty levels in these farming communities.
- Full Text:
- Date Issued: 2018
- Authors: Ngek, Shillie Peter
- Date: 2018
- Subjects: Agriculture -- Economic aspects -- Cameroon -- Bui , Agricultural industries -- Cameroon , Sustainable agriculture , Sustainable development , Indigenous peoples
- Language: English
- Type: Thesis , Doctoral , DBA
- Identifier: http://hdl.handle.net/10948/33703 , vital:32974
- Description: Over the years, people have planned and carried out their activities depending on their indigenous knowledge base. In agriculture, documented importance of indigenous knowledge has been noted in different ways such as in crop health management, soil nutrient management, and food processing and food preservation. Indigenous smallholder farmers across the world have developed techniques that reflect their intimate knowledge of their local environments and ecosystems to improve their agricultural yields and minimise postharvest losses. However, such indigenous knowledge techniques are rarely documented or enhanced to boost agricultural practice and ensure food security. The present study has identified potato farming in Cameroon as a potential contributor to the socio-economic development of farmers, their communities and their country. The potato farming industry largely consists of smallholder farmers, predominantly women, producing primarily of immediate consumption. Historically, these farmers have been sustaining their farms through indigenous knowledge and practices that are not being exploited to the fullest beneficial opportunities for these farmers. It has often been suggested that Western highly mechanised approaches should be implemented to commercialise these farms in order to access these benefits. These approaches of mechanisation require large capital outlays, which these smallholder farmers cannot afford, hence the approach taken by the present study to capitalise on the indigenous knowledge and practices of these farmers. The present study argued that working with the existing indigenous knowledge and practices of these farmers, a level of commercialisation, with the resulting job creation and economic benefits, could be achieved. This study has succeeded in identifying the causes of postharvest potato losses on the smallholding farms, the obstacles in reducing these losses and the techniques to reduce these losses. The study provides important recommendations to improve smallholder potato farming in Cameroon. By implementing the findings of this study, the Cameroon government, prospective potato farmers, entrepreneurs, traditional authorities and NGOs could make a significant contribution to the improvement of socio-economic conditions and the reduction of poverty levels in these farming communities.
- Full Text:
- Date Issued: 2018
Quantification of water resources uncertainties in two sub-basins of the Limpopo River basin
- Authors: Oosthuizen, Nadia
- Date: 2018
- Subjects: Hydrologic models -- Limpopo River Watershed , Water-supply -- Limpopo River Watershed , Water-supply -- Management , Sustainable development , Rain and rainfall -- Mathematical models , Runoff -- Mathematical models , Reservoirs -- Limpopo River Watershed
- Language: English
- Type: text , Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10962/63267 , vital:28388
- Description: The demand for water is rapidly growing, placing more strain on access to the resources and subsequently its management. For sustainable management, there is a need to accurately quantify the available water resources. Unfortunately, the data required for such assessments are frequently far from sufficient in terms of availability and quality, especially in southern Africa. In the absence of historical observed data, models are generally used to describe the different hydrological processes and generate data and information that will inform management and policy decision making. Ideally, any hydrological model should be based on a sound conceptual understanding of the processes in the basin and be backed by quantitative information for the parameterization of the model. Such data is however, often inadequate in many sub-basins necessitating the incorporation of the uncertainty related to the estimation process. Model parameter estimation and input data are significant sources of uncertainty that should be quantified. Also, in southern Africa water use data are unreliable because available databases consist of licensed information and actual use is generally unknown. In this study, the water resources of two sub-basins of the Limpopo River basin – the Mogalakwena in South Africa and the Shashe shared between Botswana and Zimbabwe – are estimated. The study assessed how uncertainties in the Pitman model parameterisation and input water use data affect the estimation of surface water resources of the selected sub-basins. Farm reservoirs and irrigated areas data from various sources were collected and used to run the Pitman model. Results indicate that the total model output uncertainty is higher for the Shashe sub-basin which is more data scarce than the Mogalakwena sub-basin. The study illustrates the importance of including uncertainty in the water resources assessment process to provide baseline data for decision making in resource management and planning. The study reviews existing information sources associated with the quantification of water balance components and gives an update of water resources of the sub-basin. The flows generated by the model at the outlet of the basin were between 22.6 Mm3 and 24.7 Mm3 per month when incorporating uncertainty to the main physical runoff generating parameters. The total predictive uncertainty of the model increased to between 22.2 Mm3 and 25.0 Mm3 when anthropogenic water use data such as small farm and large reservoirs and irrigation were included. The flows generated for Shashe was between 11.7 Mm3 and 14.5 Mm3 per month when incorporating uncertainty to the main physical runoff generating parameters. The predictive uncertainty of the model changed to 11.7 Mm3 and 17.7 Mm3 after the water use uncertainty was added. However, it is expected that the uncertainty could be reduced by using higher resolution remote sensing imagery.
- Full Text:
- Date Issued: 2018
- Authors: Oosthuizen, Nadia
- Date: 2018
- Subjects: Hydrologic models -- Limpopo River Watershed , Water-supply -- Limpopo River Watershed , Water-supply -- Management , Sustainable development , Rain and rainfall -- Mathematical models , Runoff -- Mathematical models , Reservoirs -- Limpopo River Watershed
- Language: English
- Type: text , Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10962/63267 , vital:28388
- Description: The demand for water is rapidly growing, placing more strain on access to the resources and subsequently its management. For sustainable management, there is a need to accurately quantify the available water resources. Unfortunately, the data required for such assessments are frequently far from sufficient in terms of availability and quality, especially in southern Africa. In the absence of historical observed data, models are generally used to describe the different hydrological processes and generate data and information that will inform management and policy decision making. Ideally, any hydrological model should be based on a sound conceptual understanding of the processes in the basin and be backed by quantitative information for the parameterization of the model. Such data is however, often inadequate in many sub-basins necessitating the incorporation of the uncertainty related to the estimation process. Model parameter estimation and input data are significant sources of uncertainty that should be quantified. Also, in southern Africa water use data are unreliable because available databases consist of licensed information and actual use is generally unknown. In this study, the water resources of two sub-basins of the Limpopo River basin – the Mogalakwena in South Africa and the Shashe shared between Botswana and Zimbabwe – are estimated. The study assessed how uncertainties in the Pitman model parameterisation and input water use data affect the estimation of surface water resources of the selected sub-basins. Farm reservoirs and irrigated areas data from various sources were collected and used to run the Pitman model. Results indicate that the total model output uncertainty is higher for the Shashe sub-basin which is more data scarce than the Mogalakwena sub-basin. The study illustrates the importance of including uncertainty in the water resources assessment process to provide baseline data for decision making in resource management and planning. The study reviews existing information sources associated with the quantification of water balance components and gives an update of water resources of the sub-basin. The flows generated by the model at the outlet of the basin were between 22.6 Mm3 and 24.7 Mm3 per month when incorporating uncertainty to the main physical runoff generating parameters. The total predictive uncertainty of the model increased to between 22.2 Mm3 and 25.0 Mm3 when anthropogenic water use data such as small farm and large reservoirs and irrigation were included. The flows generated for Shashe was between 11.7 Mm3 and 14.5 Mm3 per month when incorporating uncertainty to the main physical runoff generating parameters. The predictive uncertainty of the model changed to 11.7 Mm3 and 17.7 Mm3 after the water use uncertainty was added. However, it is expected that the uncertainty could be reduced by using higher resolution remote sensing imagery.
- Full Text:
- Date Issued: 2018
The relationship between conflict cycles and sustainable development goals
- Authors: Ngxeba, Zimkhitha Pamela
- Date: 2018
- Subjects: Sustainable development , Conflict management Social conflict Economic development -- Political aspects Rural development
- Language: English
- Type: Thesis , Masters , MA
- Identifier: http://hdl.handle.net/10948/22846 , vital:30110
- Description: The objective of the study was to evaluate the relationship between conflict and the Sustainable Development Goals of the United Nations (UN) and the effect this relationship has on achieving these goals by the year 2030. The researcher gathered the data on this relationship from three communities within the Ngqushwa Municipality of the Eastern Cape, South Africa, using questionnaires and semi-structured interviews. The data collection tools that were used helped the researcher to develop a work plan that guided the type of information that should be collected with regards to the current situation in the three communities being studied. Three sample communities, namely Ndwayana, Ndlambe and Pikoli communities in the Ngqushwa Municipality of the Eastern Cape, South Africa were used. The first samples’ (Ndwayana community) responses to the survey, revealed that there are conflicts amongst the community members and amongst the community leadership. At Ndlambe, the response to the survey revealed that there is a divide between tribal authority and the community. In this village there are factions, with some of the people siding with the tribal authority and others who are against it. The third sample, which is from Pikoli community, however disclosed that conflict in their village is manageable and is mostly caused by outsiders. Based on the findings of the research, NGO’s and government have instituted development programmes in these villages, meaning that they are doing their part in trying to achieve the 2030 Sustainable Development Goals. However, efforts in some villages are rejected and conflicts still exist. This shows that there is a relationship between conflicts and sustainable development.
- Full Text:
- Date Issued: 2018
- Authors: Ngxeba, Zimkhitha Pamela
- Date: 2018
- Subjects: Sustainable development , Conflict management Social conflict Economic development -- Political aspects Rural development
- Language: English
- Type: Thesis , Masters , MA
- Identifier: http://hdl.handle.net/10948/22846 , vital:30110
- Description: The objective of the study was to evaluate the relationship between conflict and the Sustainable Development Goals of the United Nations (UN) and the effect this relationship has on achieving these goals by the year 2030. The researcher gathered the data on this relationship from three communities within the Ngqushwa Municipality of the Eastern Cape, South Africa, using questionnaires and semi-structured interviews. The data collection tools that were used helped the researcher to develop a work plan that guided the type of information that should be collected with regards to the current situation in the three communities being studied. Three sample communities, namely Ndwayana, Ndlambe and Pikoli communities in the Ngqushwa Municipality of the Eastern Cape, South Africa were used. The first samples’ (Ndwayana community) responses to the survey, revealed that there are conflicts amongst the community members and amongst the community leadership. At Ndlambe, the response to the survey revealed that there is a divide between tribal authority and the community. In this village there are factions, with some of the people siding with the tribal authority and others who are against it. The third sample, which is from Pikoli community, however disclosed that conflict in their village is manageable and is mostly caused by outsiders. Based on the findings of the research, NGO’s and government have instituted development programmes in these villages, meaning that they are doing their part in trying to achieve the 2030 Sustainable Development Goals. However, efforts in some villages are rejected and conflicts still exist. This shows that there is a relationship between conflicts and sustainable development.
- Full Text:
- Date Issued: 2018
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