A Standard Methodology for Evaluation of Mechanical Maize Seed Meters for Smallholder Farmers Comparing Devices from Latin America, Sub-Saharan Africa, and Asia

Precision planting represents an opportunity for farmers to increase income. Seeders and associated seed meters are prerequisite to achieve optimal plant density. However, to assure seed meter performance in smallholder conditions, a comprehensive procedure is lacking. This study develops a methodology for mechanical maize meter evaluation that compares diverse meters in terms of seed singulation, seed damage, and spatial distribution. An experiment assessed 10 m, representing roller types, and inclined, vertical, and horizontal plates collected from various continents and representative of commonly used devices by smallholders. A conveyer-belt setup allowed for seed distribution analysis and the influence of vibration and topography on the seed singulation was determined. Results revealed that a rotational velocity of 20 revolutions per minute (RPM) was optimum for most meters, while all complied with the norm NMX-O-168-SCFI-2009 in terms of seed damage. Independent of the singulation mechanism, devices with the ability to adjust to seed size performed better. The Fitarelli horizontal plate, followed by the BARI-9 inclined plate meter, are considered ‘best-bet’ performers. Although, considering absolute efficiency, two inclined plate devices worked at near-perfect performance with large seeds. Our study develops a low-cost methodology, easily replicated and implemented, and provides a baseline for continued research on seed meter evaluation.

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Positioning for success: building capacity in academic competencies for early-career researchers in sub-Saharan Africa

Global Mental Health ◽

10.1017/gmh.2019.14 ◽

2019 ◽

Vol 6 ◽

Cited By ~ 5

Author(s):

C. Merritt ◽

H. Jack ◽

W. Mangezi ◽

D. Chibanda ◽

M. Abas

Keyword(s):

Mental Health ◽

Capacity Building ◽

Low Cost ◽

Early Career ◽

Sub Saharan Africa ◽

Training Experience ◽

African Countries ◽

Early Career Researchers ◽

Academic Competencies ◽

Sub Saharan

Background. Capacity building is essential in low- and middle-income countries (LMICs) to address the gap in skills to conduct and implement research. Capacity building must not only include scientific and technical knowledge, but also broader competencies, such as writing, disseminating research and achieving work–life balance. These skills are thought to promote long-term career success for researchers in high-income countries (HICs) but the availability of such training is limited in LMICs. Methods. This paper presents the contextualisation and implementation of the Academic Competencies Series (ACES). ACES is an early-career researcher development programme adapted from a UK university. Through consultation between HIC and LMIC partners, an innovative series of 10 workshops was designed covering themes of self-development, engagement and writing skills. ACES formed part of the African Mental Health Research Initiative (AMARI), a multi-national LMIC-led consortium to recruit, train, support and network early-career mental health researchers from four sub-Saharan African countries. Results. Of the 10 ACES modules, three were HIC-LMIC co-led, four led by HIC facilitators with LMIC training experience and three led by external consultants from HICs. Six workshops were delivered face to face and four by webinar. Course attendance was over 90% and the delivery cost was approximately US$4500 per researcher trained. Challenges of adaptation, attendance and technical issues are described for the first round of workshops. Conclusions. This paper indicates that a skills development series for early-career researchers can be contextualised and implemented in LMIC settings, and is feasible for co-delivery with local partners at relatively low cost.

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Precision Agriculture for Resource Use Efficiency in Smallholder Farming Systems in Sub-Saharan Africa: A Systematic Review

Sustainability ◽

10.3390/su13031158 ◽

2021 ◽

Vol 13 (3) ◽

pp. 1158

Author(s):

Cecilia M. Onyango ◽

Justine M. Nyaga ◽

Johanna Wetterlind ◽

Mats Söderström ◽

Kristin Piikki

Keyword(s):

Resource Use ◽

Precision Agriculture ◽

Large Scale ◽

English Language ◽

Management Practices ◽

Smallholder Farmers ◽

Management Strategies ◽

Sub Saharan Africa ◽

Smallholder Farming ◽

Sub Saharan

Opportunities exist for adoption of precision agriculture technologies in all parts of the world. The form of precision agriculture may vary from region to region depending on technologies available, knowledge levels and mindsets. The current review examined research articles in the English language on precision agriculture practices for increased productivity among smallholder farmers in Sub-Saharan Africa. A total of 7715 articles were retrieved and after screening 128 were reviewed. The results indicate that a number of precision agriculture technologies have been tested under SSA conditions and show promising results. The most promising precision agriculture technologies identified were the use of soil and plant sensors for nutrient and water management, as well as use of satellite imagery, GIS and crop-soil simulation models for site-specific management. These technologies have been shown to be crucial in attainment of appropriate management strategies in terms of efficiency and effectiveness of resource use in SSA. These technologies are important in supporting sustainable agricultural development. Most of these technologies are, however, at the experimental stage, with only South Africa having applied them mainly in large-scale commercial farms. It is concluded that increased precision in input and management practices among SSA smallholder farmers can significantly improve productivity even without extra use of inputs.

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The BabySaver: Design of a New Device for Neonatal Resuscitation at Birth with Intact Placental Circulation

Children ◽

10.3390/children8060526 ◽

2021 ◽

Vol 8 (6) ◽

pp. 526

Author(s):

James Ditai ◽

Aisling Barry ◽

Kathy Burgoine ◽

Anthony K. Mbonye ◽

Julius N. Wandabwa ◽

...

Keyword(s):

Low Cost ◽

Neonatal Resuscitation ◽

Sub Saharan Africa ◽

Skilled Birth Attendants ◽

New Device ◽

Birth Attendants ◽

Premature Babies ◽

Sub Saharan ◽

The Uk ◽

The University

The initial bedside care of premature babies with an intact cord has been shown to reduce mortality; there is evidence that resuscitation of term babies with an intact cord may also improve outcomes. This process has been facilitated by the development of bedside resuscitation surfaces. These new devices are unaffordable, however, in most of sub-Saharan Africa, where 42% of the world’s 2.4 million annual newborn deaths occur. This paper describes the rationale and design of BabySaver, an innovative low-cost mobile resuscitation unit, which was developed iteratively over five years in a collaboration between the Sanyu Africa Research Institute (SAfRI) in Uganda and the University of Liverpool in the UK. The final BabySaver design comprises two compartments; a tray to provide a firm resuscitation surface, and a base to store resuscitation equipment. The design was formed while considering contextual factors, using the views of individual women from the community served by the local hospitals, medical staff, and skilled birth attendants in both Uganda and the UK.

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REVIEW OF SEASONAL CLIMATE FORECASTING FOR AGRICULTURE IN SUB-SAHARAN AFRICA

Experimental Agriculture ◽

10.1017/s0014479710000876 ◽

2011 ◽

Vol 47 (2) ◽

pp. 205-240 ◽

Cited By ~ 148

Author(s):

JAMES W. HANSEN ◽

SIMON J. MASON ◽

LIQIANG SUN ◽

ARAME TALL

Keyword(s):

Smallholder Farmers ◽

Seasonal Forecast ◽

Sub Saharan Africa ◽

Seasonal Forecasting ◽

Seasonal Forecasts ◽

Climate Services ◽

Seasonal Climate ◽

Climate Forecasting ◽

Probabilistic Forecasts ◽

Sub Saharan

SUMMARYWe review the use and value of seasonal climate forecasting for agriculture in sub-Saharan Africa (SSA), with a view to understanding and exploiting opportunities to realize more of its potential benefits. Interaction between the atmosphere and underlying oceans provides the basis for probabilistic forecasts of climate conditions at a seasonal lead-time, including during cropping seasons in parts of SSA. Regional climate outlook forums (RCOF) and national meteorological services (NMS) have been at the forefront of efforts to provide forecast information for agriculture. A survey showed that African NMS often go well beyond the RCOF process to improve seasonal forecast information and disseminate it to the agricultural sector. Evidence from a combination of understanding of how climatic uncertainty impacts agriculture, model-based ex-ante analyses, subjective expressions of demand or value, and the few well-documented evaluations of actual use and resulting benefit suggests that seasonal forecasts may have considerable potential to improve agricultural management and rural livelihoods. However, constraints related to legitimacy, salience, access, understanding, capacity to respond and data scarcity have so far limited the widespread use and benefit from seasonal prediction among smallholder farmers. Those constraints that reflect inadequate information products, policies or institutional process can potentially be overcome. Additional opportunities to benefit rural communities come from expanding the use of seasonal forecast information for coordinating input and credit supply, food crisis management, trade and agricultural insurance. The surge of activity surrounding seasonal forecasting in SSA following the 1997/98 El Niño has waned in recent years, but emerging initiatives, such as the Global Framework for Climate Services and ClimDev-Africa, are poised to reinvigorate support for seasonal forecast information services for agriculture. We conclude with a discussion of institutional and policy changes that we believe will greatly enhance the benefits of seasonal forecasting to agriculture in SSA.

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Factors That Matter for Financial Inclusion: Evidence from Sub-Sharan Africa - The Zimbabwe Case

Academic Journal of Interdisciplinary Studies ◽

10.36941/ajis-2021-0152 ◽

2021 ◽

Vol 10 (6) ◽

pp. 48

Author(s):

David Mhlanga

Keyword(s):

Smallholder Farmers ◽

Multinomial Logistic Regression ◽

Multinomial Logit Model ◽

Financial Inclusion ◽

Sub Saharan Africa ◽

Farm Income ◽

Smallholder Farming ◽

Hand Off ◽

Sub Saharan ◽

The Government

The study intended to investigate the factors that are important in influencing the financial inclusion of smallholder farming households in Sub-Saharan Africa with a specific focus on Zimbabwe. Motivated by the fact that there is an increase in the evidence of the importance of financial inclusion in fighting poverty and the fact that by merely having a bank account, financial inclusion cannot be guaranteed, the study went further to interrogate factors that influence smallholder farmers to have a transaction account, to borrow and to have insurance. Since the dependent variable of financial inclusion had more than two categories, with three unordered categories, transaction account, savings/credit account, and insurance, the multinomial logistic regression was used to estimate the determinants of financial inclusion from these three categories of the dependent variable. The multinomial logit model results, with insurance as the reference category, indicated that the size of the household, transaction costs, gender and agricultural extension service were the factors influencing the demand for a household to open a transaction account. On the other hand, off-farm income and age of the household were the only two factors significantly influencing households to borrow. Therefore, it is imperative for, the government of Zimbabwe to come up with more policies that encourage farmers to participate in the formal financial market as financial inclusion can help to fight poverty and the general developments of societies. Received: 28 April 2021 / Accepted: 31 August 2021 / Published: 5 November 2021

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Using a Network of Locally Developed Low Cost Particulate Matter Sensors for Land Use Regression Modeling of PM2.5 in Urban Uganda

10.20944/preprints202006.0158.v1 ◽

2020 ◽

Author(s):

Eric S. Coker ◽

Ssematimba Joel ◽

Engineer Bainomugisha

Keyword(s):

Land Use ◽

Air Pollution ◽

Particulate Matter ◽

Air Quality ◽

Low Cost ◽

Additive Models ◽

Pollution Monitoring ◽

Sub Saharan Africa ◽

Land Use Regression ◽

Sub Saharan

Background: There are major air pollution monitoring gaps in sub-Saharan Africa. Developing capacity in the region to conduct air monitoring in the region can help estimate exposure to air pollution for epidemiology research. The purpose of our study is to develop a land use regression (LUR) model using low-cost air quality sensors developed by a research group in Uganda (AirQo). Methods: Using these low-cost sensors, we collected continuous measurements of fine particulate matter (PM2.5) between May 1, 2019 and February 29, 2020 at 22 monitoring sites across urban municipalities of Uganda. We compared average monthly PM2.5 concentrations from the AirQo sensors with measurements from a BAM-1020 reference monitor operated at the US Embassy in Kampala. Monthly PM2.5 concentrations were used for LUR modeling. We used eight Machine Learning (ML) algorithms and ensemble modeling; using 10-fold cross validation and root mean squared error (RMSE) to evaluate model performance. Results: Monthly PM2.5 concentration was 60.2 µg/m3 (IQR: 45.4-73.0 µg/m3; median= 57.5 µg/m3). For the ML LUR models, RMSE values ranged between 5.43 µg/m3 - 15.43 µg/m3 and explained between 28% and 92% of monthly PM2.5 variability. Generalized additive models explained the largest amount of PM2.5 variability (R2=0.92) and produced the lowest RMSE (5.43 µg/m3) in the held-out test set. The most important predictors of monthly PM2.5 concentrations included monthly precipitation, major roadway density, population density, latitude, greenness, and percentage of households using solid fuels. Conclusion: To our knowledge, ours is the first study to model the spatial distribution of urban air pollution in sub-Saharan Africa using air monitors developed from the region itself. Non-parametric ML for LUR modeling performed with high accuracy for prediction of monthly PM2.5 levels. Our analysis suggests that locally produced low-cost air quality sensors can help build capacity to conduct air pollution epidemiology research in the region.

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A Multi-Phase Assessment of the Effects of COVID-19 on Food Systems and Rural Livelihoods in Zimbabwe

10.19088/apra.2021.034 ◽

2021 ◽

Author(s):

Vine Mutyasira

Keyword(s):

Food Systems ◽

Smallholder Farmers ◽

Rapid Assessment ◽

Policy Research ◽

Rural Livelihoods ◽

Mitigation Strategies ◽

Sub Saharan Africa ◽

Response Measures ◽

Sub Saharan ◽

Multi Phase

The COVID-19 pandemic has continued to affect agri-food systems around the world and lay bare its fragility, worsening the welfare of millions of smallholder farmers whose livelihoods are anchored on agricultural activities. For the vast majority of sub-Saharan Africa, COVID-19 has coincided with a number of other macroeconomic shocks, which have also exacerbated the impacts of the pandemic on food security, nutrition and general livelihoods, as well curtailed policy responses and mitigation strategies. In Zimbabwe, the COVID-19 pandemic struck at a time the country was experiencing a worsening economic and humanitarian situation. This study focused more on community and household dynamics and response measures to cope with the pandemic. This paper presents a summary of findings emerging from a series of rapid assessment studies undertaken by the Agricultural Policy Research in Africa (APRA) Programme in Mvurwi and Concession areas of Mazowe District in Zimbabwe to examine how COVID-19 is affecting food systems and rural livelihoods in our research communities.

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ASR FORUM: ENGAGING WITH AFRICAN INFORMAL ECONOMIES

African Studies Review ◽

10.1017/asr.2013.80 ◽

2013 ◽

Vol 56 (3) ◽

pp. 77-100 ◽

Cited By ~ 3

Author(s):

Michal Lyons ◽

Alison Brown ◽

Zhigang Li

Keyword(s):

Value Chain ◽

Informal Economy ◽

Low Cost ◽

Sub Saharan Africa ◽

Value Chains ◽

Socioeconomic Mobility ◽

Informal Economies ◽

Sub Saharan ◽

Economic Development Strategies

Abstract:This article analyzes the value chain for Chinese manufactured goods such as garments and textiles sold in sub-Saharan Africa. It explores the opportunities for Africans with small, private businesses in the export trade from China, the potential for long-term business development, and how strategies of engagement have changed over time. It finds that the value chains for low-cost goods vary. There is great diversity of entry levels and opportunities for socioeconomic mobility, and traders evolve diverse strategies to obtain and defend their position in the chain. These findings are discussed in terms of understandings of international value chains, the informal economy, and African economic development strategies.

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IoT-based Irrigation Management for Smallholder Farmers in Rural Sub-Saharan Africa

Procedia Computer Science ◽

10.1016/j.procs.2020.10.015 ◽

2020 ◽

Vol 177 ◽

pp. 86-93

Author(s):

Ethiopia Nigussie ◽

Thomas Olwal ◽

George Musumba ◽

Tesfa Tegegne ◽

Atli Lemma ◽

...

Keyword(s):

Smallholder Farmers ◽

Irrigation Management ◽

Sub Saharan Africa ◽

Sub Saharan

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Pilot Low-Cost Concentrating Solar Power Systems Deployment in Sub-Saharan Africa: A Case Study of Implementation Challenges

Sustainability ◽

10.3390/su12156223 ◽

2020 ◽

Vol 12 (15) ◽

pp. 6223

Author(s):

Emmanuel Wendsongre Ramde ◽

Eric Tutu Tchao ◽

Yesuenyeagbe Atsu Kwabla Fiagbe ◽

Jerry John Kponyo ◽

Asakipaam Simon Atuah

Keyword(s):

Electricity Generation ◽

Power Plants ◽

Large Scale ◽

Solar Power ◽

Low Cost ◽

Sub Saharan Africa ◽

Tracking Systems ◽

Concentrating Solar Power ◽

Solar Power Plants ◽

Sub Saharan

Electricity is one of the most crucial resources that drives any given nation’s growth and development. The latest Sustainable Development Goals report indicates Africa still has a high deficit in electricity generation. Concentrating solar power seems to be a potential option to fill the deficit. That is because most of the components of concentrating solar power plants are readily available on the African market at affordable prices, and there are qualified local persons to build the plants. Pilot micro-concentrating solar power plants have been implemented in Sub-Saharan Africa and have shown promising results that could be expanded and leveraged for large-scale electricity generation. An assessment of a pilot concentrating solar power plant in the sub-region noticed one noteworthy obstacle that is the failure of the tracking system to reduce the operating energy cost of running the tracking control system and improve the multifaceted heliostat focusing behavior. This paper highlights the energy situation and the current development in concentrating solar power technology research in Africa. The paper also presents a comprehensive review of the state-of-the-art solar tracking systems for central receiver systems to illustrate the current direction of research regarding the design of low-cost tracking systems in terms of computational complexity, energy consumption, and heliostat alignment accuracy.

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