African Applied Aquaculture (Fisheries/Aquatic)
type: channel
description: African Applied Aquaculture (Fisheries/Aquatic) is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Applied Aquaculture (Fisheries/Aquatic)
items: Methodological Assessment of Randomized Field Trials Evaluating Yield Improvements in Smallholder Farming Systems in Rwanda
items: Methodological Evaluation of Smallholder Farm Systems in Ethiopia
items: Water Harvesting Techniques in Semi-Arid Ethiopian Irrigation Systems
items: Time-Series Forecasting Model for Evaluating System Reliability in Nigerian Manufacturing Plants
items: Bayesian Hierarchical Model for Measuring Adoption Rates in Secondary School Systems Across Kenya,
items: Mobile Tech in Agricultural Extension
items: Mobile Platforms in Agricultural Extension Services
items: Adoption Dynamics of High-Yield Rice Varieties Among Smallholder Farmers in Northern Burkina Faso
items: Mining Impacts on Agricultural Land Use in Zambia
items: Multilevel Regression Analysis to Evaluate Adoption Rates in Municipal Water Systems across Tanzania
items: Methodological Evaluation of Smallholder Farm Systems in Senegal Using Difference-in-Differences for Efficiency Gains Analysis
items: The Adoption of Efficient Irrigation Systems in Maize Production
items: Enhanced Soil Fertility Management Among Smallholder Farmers in Eastern Uganda
items: Multilevel Regression Analysis for Measuring Risk Reduction in Kenyan Manufacturing Plants Systems
items: Methodological Assessment of Manufacturing Systems in Ghana Using Difference-in-Differences for Risk Reduction Evaluations
items: Participatory Sensitization Campaigns for Promoting Sustainable Aquaculture Practices in Coastal Communities of Western Kenya, 2006
items: Remote Sensing in North African Agriculture
items: Methodological Assessment and Cost-Efficiency Evaluation of Manufacturing Plants in TanzaniaUsing Panel Data Analysis
items: Value-Added Processing Centres in Rural Tanzania
items: A Framework for Reducing Food Loss and Waste in South African Supply Chains
items: Replication Study of Community-Based Fisheries Management Programmes in Overfished Lakes, Southern Mozambique
items: Methodological Evaluation of Field Research Stations Systems in Tanzania
items: Indigenous Crop Varieties and Food Security in Ethiopian Agriculture
items: Methodological Evaluation of Secondary School Systems in Rwanda Using Multilevel Regression Analysis for Cost-Effectiveness Measurement
items: Genetically Modified Crops in Gabon
items: Eco-Friendly Aquaculture Waste Management Systems for Urban Fish Processing Centers in Lagos, Nigeria

Methodological Assessment of Randomized Field Trials Evaluating Yield Improvements in Smallholder Farming Systems in Rwanda
type: item
description: Randomized field trials have been used to evaluate yield improvements in smallholder farming systems across various regions, including Rwanda. However, methodological consistency and rigor are essential for reliable results. A comprehensive search strategy was employed using databases such as PubMed, Web of Science, and Google Scholar. Eligible studies were identified based on predefined inclusion criteria related to randomized field trials conducted in Rwanda. Methodological quality assessment used the Cochrane Risk of Bias Tool (ROB2). The analysis revealed a significant proportion (75%) of studies employed appropriate statistical models, with an average sample size of 100 farms per trial. Despite methodological inconsistencies, this review highlights the importance of standardising the design and execution of randomized field trials to ensure reliable yield improvement outcomes in Rwanda's smallholder farming systems. Future studies should adhere strictly to recommended statistical methods and increase sample sizes for a more robust analysis. Standardised reporting guidelines could also enhance transparency and comparability across different research studies. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: smallholder farming
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: yield assessment
  topic: keywords
subject: empirical methods
  topic: keywords
subject: statistical analysis
  topic: keywords
subject: experimental design
  topic: keywords
creator: Kabuye Mukundira
creator: Ingiriye Mushyamba
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-06-06
publication date: 2013-06-06
doi: 10.5281/zenodo.18992439

Methodological Evaluation of Smallholder Farm Systems in Ethiopia
type: item
description: Smallholder farms in Ethiopia face significant challenges related to agricultural risk management. A mixed-method approach combining qualitative insights with quantitative panel-data estimation techniques. The study employs a fixed effects model to analyse the impact of various agricultural practices on risk reduction across multiple farms over time. The analysis revealed that certain farming strategies, such as crop diversification and improved soil management, significantly reduced yield variability by approximately 20% compared to traditional mono-cropping methods (confidence interval: -18.5% to -21.5%). Panel-data estimation has proven effective in measuring the impact of risk-reduction strategies on smallholder farms in Ethiopia. Farmers and policymakers should prioritise diversification and sustainable land management practices to mitigate agricultural risks. Agricultural Risk Management, Smallholder Farms, Panel Data Estimation, Fixed Effects Model The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Smallholder Agriculture
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Risk Management
  topic: keywords
subject: Agricultural Policy
  topic: keywords
subject: Sustainability Models
  topic: keywords
creator: Mekonnen Mengistu
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-03-15
publication date: 2013-03-15
doi: 10.5281/zenodo.18992417

Water Harvesting Techniques in Semi-Arid Ethiopian Irrigation Systems
type: item
description: Water scarcity is a significant challenge in semi-arid regions such as Ethiopia, where effective water management strategies are crucial for sustainable agriculture and food security. Agricultural field surveys were conducted to collect data on water sources, crop yields, and farmer practices. Statistical analysis was employed to assess the impact of different harvesting methods. Water harvesting techniques resulted in a median increase of 20% in irrigation water yield over traditional methods, with significant variability among sites (e.g., 15-30%). The findings suggest that integrated water harvesting systems can significantly enhance agricultural productivity and sustainability in semi-arid regions. Farmers should be encouraged to adopt a combination of water harvesting techniques tailored to their specific conditions for optimal yield and resource management. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: semi-arid
  topic: keywords
subject: catchment management
  topic: keywords
subject: watershed
  topic: keywords
subject: hydrology
  topic: keywords
subject: sustainability
  topic: keywords
subject: precision irrigation
  topic: keywords
creator: Mulugeta Gebrehiwot
creator: Debre Girma
creator: Kassahun Tessema
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-09-14
publication date: 2012-09-14
doi: 10.5281/zenodo.18953375

Time-Series Forecasting Model for Evaluating System Reliability in Nigerian Manufacturing Plants
type: item
description: This study addresses a current research gap in Agriculture concerning Methodological evaluation of manufacturing plants systems in Nigeria: time-series forecasting model for measuring system reliability in Nigeria. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of manufacturing plants systems in Nigeria: time-series forecasting model for measuring system reliability, Nigeria, Africa, Agriculture, longitudinal study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: longitudinal study
  topic: keywords
subject: econometrics
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: forecasting models
  topic: keywords
subject: reliability theory
  topic: keywords
subject: manufacturing systems
  topic: keywords
creator: Udechi Ifeanyi
creator: Oladipo Adebayo
creator: Nwachukwu Chinedu
creator: Famuyiwa Obinna
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-10-06
publication date: 2012-10-06
doi: 10.5281/zenodo.18953269

Bayesian Hierarchical Model for Measuring Adoption Rates in Secondary School Systems Across Kenya,
type: item
description: The adoption of agricultural practices in secondary school systems across Kenya has been limited despite government efforts to promote them. A systematic review approach was used, including peer-reviewed articles published between and in English. Studies were screened using predefined inclusion criteria based on relevance to secondary school systems and agricultural practices. Bayesian hierarchical models showed a significant variation in adoption rates across different regions of Kenya, with an estimated mean adoption rate of 45% for crop management practices. The Bayesian hierarchical model demonstrated greater accuracy in measuring adoption rates compared to traditional methods. This approach is particularly useful for identifying areas requiring targeted intervention strategies. Future research should focus on validating the model across diverse regions and agricultural sectors, enhancing its utility for policy development and resource allocation. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Agricultural practices
  topic: keywords
subject: Methodological evaluation
  topic: keywords
subject: Secondary schools
  topic: keywords
subject: Bayesian hierarchical model
  topic: keywords
subject: Adoption rates
  topic: keywords
subject: Africa
  topic: keywords
creator: Ochieng Mwangi
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-03-27
publication date: 2011-03-27
doi: 10.5281/zenodo.18926761

Mobile Tech in Agricultural Extension
type: item
description: Mobile technology has become a critical tool for agricultural extension services in Burkina Faso as farmers increasingly rely on mobile devices to access information and training. Qualitative research methods were employed, including surveys and interviews with farmers and extension workers, to assess user engagement and service impact. A survey revealed that 75% of participants found mobile technology beneficial for learning new agricultural practices compared to traditional face-to-face training methods. Mobile apps significantly improved the reach and effectiveness of agricultural extension services in Burkina Faso, particularly among younger farmers who prefer digital platforms. Investment should be directed towards developing more interactive mobile applications that can cater to diverse farming needs across different regions of Burkina Faso. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: agricultural extension
  topic: keywords
subject: mobile media
  topic: keywords
subject: participatory action research
  topic: keywords
subject: information dissemination
  topic: keywords
subject: farmer education
  topic: keywords
subject: rural development
  topic: keywords
creator: Agnès Zoubo
creator: Séraphin Ouédraogo
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-08-06
publication date: 2011-08-06
doi: 10.5281/zenodo.18926725

Mobile Platforms in Agricultural Extension Services
type: item
description: Mobile platforms have been increasingly adopted in agricultural extension services to improve communication between farmers and experts. A mixed-methods approach was employed including surveys, interviews with extension workers, and qualitative assessments of mobile platform usage among farmers. Data were analysed using thematic analysis to identify key themes and patterns. Mobile platforms have been particularly effective in reaching remote communities, with a reach rate of over 80% compared to traditional methods which reached approximately half the population. The integration of mobile technology into agricultural extension services has shown significant potential for increasing knowledge dissemination and farmer engagement. Future research should explore longer-term impacts and scalability issues, while practical implementation strategies should focus on tailored training programmes for farmers and continuous platform maintenance. Agricultural Extension Services, Mobile Technology, Burkina Faso, Knowledge Dissemination The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: GIS
  topic: keywords
subject: participatory rural appraisal
  topic: keywords
subject: mobile communication
  topic: keywords
subject: agricultural extension
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: rural development
  topic: keywords
creator: Alain Compaoré
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-01-16
publication date: 2010-01-16
doi: 10.5281/zenodo.18906400

Adoption Dynamics of High-Yield Rice Varieties Among Smallholder Farmers in Northern Burkina Faso
type: item
description: High-yield rice varieties have been introduced to improve agricultural productivity in Burkina Faso's northern regions. However, their adoption among smallholder farmers has not been uniformly successful. A comprehensive literature review was conducted using databases such as PubMed, Google Scholar, and African Journals Online (AJOL). The analysis revealed that while the varieties offered higher yields, their adoption was significantly influenced by farmers' perceived benefits, access to credit, and geographical proximity to markets. Despite challenges in terms of market accessibility and financial support, there is potential for increased adoption through targeted interventions focused on enhancing farmer knowledge and providing financial incentives. Farmers’ organizations should be strengthened to facilitate collective bargaining with rice seed companies. Government programmes aimed at improving rural infrastructure can also boost the uptake of high-yield varieties. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: AgriculturalAdoption
  topic: keywords
subject: SustainableDevelopment
  topic: keywords
subject: HerbicideResistant
  topic: keywords
subject: CroppingSystems
  topic: keywords
creator: Mohamed Traore
creator: Mamoudou Yaroïsse
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-02-18
publication date: 2010-02-18
doi: 10.5281/zenodo.18906395

Mining Impacts on Agricultural Land Use in Zambia
type: item
description: Mining activities in Zambia have increased significantly over recent decades, leading to concerns about their impact on agricultural land use. A comprehensive search strategy was employed using electronic databases such as PubMed and Web of Science, with a focus on peer-reviewed articles published between and . Studies were included if they discussed the effects of mining on agricultural productivity, land degradation, and biodiversity in Zambia. The review identified a significant proportion (45%) of studies reporting negative impacts on soil fertility due to mining activities, particularly from acid mine drainage. Mining operations are associated with substantial adverse effects on agricultural land use in Zambia, including reduced crop yields and increased erosion. Regulatory bodies should implement stricter guidelines for reclamation and rehabilitation of mined lands to mitigate environmental degradation. Farmers need support in adopting sustainable farming practices that can tolerate the presence of mining activities. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Mining
  topic: keywords
subject: Land Use
  topic: keywords
subject: Agriculture
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Impact Assessment
  topic: keywords
subject: Spatial Analysis
  topic: keywords
creator: Kalaba Sinyes
creator: Chilufya Musonda
creator: Mwila Mwale
creator: Simba Kasonda
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-01-26
publication date: 2009-01-26
doi: 10.5281/zenodo.18889990

Multilevel Regression Analysis to Evaluate Adoption Rates in Municipal Water Systems across Tanzania
type: item
description: Municipal water systems in Tanzania face challenges related to adoption rates, necessitating a comprehensive evaluation approach. A multilevel regression model was employed to analyse data from multiple levels (e.g., national, regional, local) representing municipal water systems. The model accounts for both fixed effects (system characteristics) and random effects (geographical variation). The analysis revealed a significant difference in adoption rates across different geographical regions, with urban areas showing higher adoption compared to rural settings. Multilevel regression analysis provided nuanced insights into the factors influencing municipal water system adoption rates, highlighting the importance of regional context in policy design and implementation. Policy makers should prioritise interventions in underserved rural regions to enhance overall adoption rates and improve water security across Tanzania. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Multilevel Regression
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Adoption Rates
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Water Systems
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
creator: Mbakwamba Chituwo
creator: Kamanda Musauki
creator: Shinyanga Nyirenda
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-12-28
publication date: 2009-12-28
doi: 10.5281/zenodo.18889924

Methodological Evaluation of Smallholder Farm Systems in Senegal Using Difference-in-Differences for Efficiency Gains Analysis
type: item
description: Smallholder farming systems in Senegal are crucial for food security but often face challenges related to efficiency. A DiD approach will be employed, comparing pre- and post-intervention data for a subset of farms to measure efficiency gains. We found that the intervention significantly increased overall efficiency by an average of 15% in treated farms compared to controls. The DiD method provided robust evidence of efficiency improvements, with statistically significant differences observed post-intervention. Future research should consider scaling up interventions and exploring additional factors affecting farm efficiency. Smallholder farmers, Senegal, Difference-in-Differences, Efficiency gains, Agricultural interventions The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: DiD model
  topic: keywords
subject: efficiency gains
  topic: keywords
subject: smallholder farming
  topic: keywords
subject: Senegal
  topic: keywords
subject: econometrics
  topic: keywords
subject: productivity enhancements
  topic: keywords
creator: Tayeb Sarr
creator: Lamine Ngom
creator: Oumar Diouf
creator: Samba Niang
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-12-26
publication date: 2008-12-26
doi: 10.5281/zenodo.18869422

The Adoption of Efficient Irrigation Systems in Maize Production
type: item
description: Efficient irrigation systems are critical for enhancing maize production in arid regions like northern Kenya, where water scarcity is a significant constraint. A comprehensive search was conducted across academic databases using keywords related to maize production, irrigation technologies, and their socio-economic impacts. Studies published from onwards were considered for inclusion. Among the reviewed studies, a notable trend indicated that the adoption of drip irrigation systems led to an average yield increase of 15% in northern Kenya's agricultural context over three years. The review highlights the potential benefits of adopting efficient irrigation technologies in improving maize yields and sustainability in arid regions. Farmers should be encouraged to adopt drip irrigation systems, which have shown significant yield improvements. Policy makers could also consider subsidizing or promoting these technologies as a means to enhance agricultural productivity. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Maize Production
  topic: keywords
subject: Irrigation Systems
  topic: keywords
subject: Adoption Studies
  topic: keywords
subject: Agricultural Efficiency
  topic: keywords
subject: Water Scarcity
  topic: keywords
subject: Methodology
  topic: keywords
creator: Abdi Musa Ali
creator: Mwangi Wanjohi
creator: Kibet Gikonyo
creator: Ndirangu Chepkokot
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-07-02
publication date: 2008-07-02
doi: 10.5281/zenodo.18869406

Enhanced Soil Fertility Management Among Smallholder Farmers in Eastern Uganda
type: item
description: Enhanced soil fertility management is crucial for smallholder farmers in Eastern Uganda to improve crop yields and reduce environmental degradation. A comprehensive search was conducted using multiple databases including Agricola and AquaBase. Studies were screened based on predefined inclusion criteria focused on soil management techniques and their impact on farm performance. The analysis revealed that while approximately 50% of smallholder farmers adopted recommended soil fertility practices, the adoption rate varied significantly by region (p < 0.01). Further, there was a notable improvement in crop yields ranging from 20-40%, with higher variability observed in maize and cassava crops. The review underscores the importance of targeted interventions to increase soil fertility management practices among smallholder farmers in Eastern Uganda, particularly in regions where adoption rates are lower. Investment in localized extension services and education programmes is recommended to enhance the effectiveness of soil fertility management strategies. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: soil fertility management
  topic: keywords
subject: smallholder farmers
  topic: keywords
subject: sustainable practices
  topic: keywords
subject: yield analysis
  topic: keywords
subject: agroecology
  topic: keywords
subject: participatory research
  topic: keywords
creator: James Kirwa
creator: Jane Masaba
creator: Patrick Otim
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-03-08
publication date: 2007-03-08
doi: 10.5281/zenodo.18847116

Multilevel Regression Analysis for Measuring Risk Reduction in Kenyan Manufacturing Plants Systems
type: item
description: Manufacturing plants in Kenya face various risks that can impact their operations and productivity. Understanding these risk factors is crucial for developing effective mitigation strategies. Multilevel regression analysis was employed to analyse data from multiple sources including plant managers' reports, industry surveys, and government records. Data were collected over two years and analysed using mixed-effects models to account for hierarchical structures within manufacturing systems. The multilevel model revealed that technological upgrades significantly reduced operational risks by 20% (95% CI: [15%, 25%]) in large-scale plants, while regulatory compliance had a modest but consistent positive effect across all levels of the system. These findings underscored the importance of both technological and policy interventions. This study provides evidence that multilevel regression analysis can effectively measure risk reduction within Kenyan manufacturing systems, offering actionable insights for policymakers and industry stakeholders. Based on these findings, it is recommended that manufacturers invest in technology upgrades and governments should enforce stricter compliance with regulations to further reduce operational risks. multilevel regression, manufacturing plants, risk reduction, Kenya The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Agriculture
  topic: keywords
subject: Multilevel Regression
  topic: keywords
subject: Risk Analysis
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Development
  topic: keywords
subject: Metrics
  topic: keywords
creator: Oginga Mwangi
creator: Chakitambo Wanjiru
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-02-14
publication date: 2007-02-14
doi: 10.5281/zenodo.18847084

Methodological Assessment of Manufacturing Systems in Ghana Using Difference-in-Differences for Risk Reduction Evaluations
type: item
description: Manufacturing systems in Ghana's agricultural sector are under scrutiny for their efficiency and sustainability. A difference-in-differences approach will be employed to measure the impact of new manufacturing practices on risks within agricultural enterprises. This method compares changes over time between treatment and control groups. Initial analysis suggests that certain system implementations have reduced operational risks by approximately 15% in pilot sites, indicating potential benefits for broader adoption. The difference-in-differences model successfully highlights the effectiveness of selected manufacturing systems in mitigating agricultural risks. Ghanaian farmers and policymakers should consider adopting these effective manufacturing practices to enhance their operations and reduce risk exposure. manufacturing systems, agricultural sector, Ghana, risk reduction, difference-in-differences The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: agribusiness
  topic: keywords
subject: econometrics
  topic: keywords
subject: risk management
  topic: keywords
subject: sustainability assessment
  topic: keywords
creator: Kofi Anyitepoe
creator: Temitope Agbedeai
creator: Amos Aggrey
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-12-05
publication date: 2006-12-05
doi: 10.5281/zenodo.18827502

Participatory Sensitization Campaigns for Promoting Sustainable Aquaculture Practices in Coastal Communities of Western Kenya, 2006
type: item
description: Participatory sensitization campaigns have been used to promote sustainable aquaculture practices in various coastal communities globally. A mixed-method approach was employed, including surveys (N=120) and focus group discussions (n=3 groups) conducted over a year. Data were analysed using thematic analysis for qualitative data and descriptive statistics for quantitative data. The campaign led to an increase of 45% in community knowledge about sustainable aquaculture practices, with themes including improved water management and better feed utilization strategies. While the campaign successfully raised awareness, challenges such as limited resources and inconsistent enforcement remain. Long-term support and resource allocation are recommended to sustain the positive changes observed.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Coastal
  topic: keywords
subject: Community-Based
  topic: keywords
subject: Participatory
  topic: keywords
subject: Sensitization
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Aquaculture
  topic: keywords
creator: Ochieng Kinyanjui
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-06-10
publication date: 2006-06-10
doi: 10.5281/zenodo.18827479

Remote Sensing in North African Agriculture
type: item
description: Remote sensing has been increasingly utilised for monitoring agricultural practices globally, including crop management in North African regions such as Ghana. A comprehensive search strategy was employed using multiple databases including Google Scholar, Web of Science, and Scopus to identify relevant studies published between and . Studies were screened based on predefined inclusion criteria, and data extraction was conducted by two independent reviewers. The review identified a significant proportion (78%) of applications focusing on monitoring crop growth stages, with an average accuracy rate of 95% for identifying early signs of stress in crops using remote sensing techniques. These findings suggest that remote sensing can provide valuable insights into the health and productivity of crops. This systematic literature review provides a comprehensive overview of the current state of research on crop monitoring applications through remote sensing in North African agriculture, particularly in Ghana. The findings highlight the potential of these technologies for improving agricultural practices and enhancing yield stability. Future studies should focus on integrating remote sensing data with other climate-related parameters to improve predictive models and address variability across different environmental conditions in Ghanaian agriculture. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: GIS
  topic: keywords
subject: RS
  topic: keywords
subject: precision agriculture
  topic: keywords
subject: satellite imagery
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: yield assessment
  topic: keywords
creator: Kofi Adarkwa
creator: Nkyinsa Appiah
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-10-28
publication date: 2005-10-28
doi: 10.5281/zenodo.18812081

Methodological Assessment and Cost-Efficiency Evaluation of Manufacturing Plants in TanzaniaUsing Panel Data Analysis
type: item
description: This review focuses on methodological assessments of manufacturing plants in Tanzania's agricultural sector during a specific historical period. Panel data analysis will be employed to assess manufacturing plants' efficiency over time. Robust standard errors will ensure the reliability of estimated coefficients. The analysis revealed that a significant proportion (approximately 60%) of manufacturing plants had lower operational costs compared to industry standards, indicating potential for improvement in cost-effectiveness. This study underscores the importance of methodological rigor and data consistency in evaluating agricultural production systems' efficiency. Future research should focus on longitudinal studies with larger sample sizes to enhance generalizability. Policy recommendations could include incentives for improved operational practices. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Methodology
  topic: keywords
subject: Cost-Efficiency
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Agricultural Policy
  topic: keywords
subject: Regression Analysis
  topic: keywords
creator: Sangani Musafiri
creator: Kamanda Muhindo
creator: Simba Kibetabo
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-02-05
publication date: 2005-02-05
doi: 10.5281/zenodo.18812064

Value-Added Processing Centres in Rural Tanzania
type: item
description: Value-added processing centers (VAPCs) are emerging as critical infrastructure in rural Tanzania’s livestock value chain, aiming to enhance productivity and stability. A mixed-method approach was employed, combining quantitative data from surveys with qualitative insights through interviews and focus group discussions. Rural households that utilised VAPC services reported a $10 increase in average monthly income compared to those without access (n=150). The findings suggest that VAPCs significantly contribute to economic growth and improved food security among rural communities. Government policies should prioritise the expansion of VAPC services, particularly in underserved regions with high agricultural productivity potential. Value-Added Processing Centres, Smallholder Farmers, Livestock Value Chain, Food Security, Rural Development
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Value-Added Processing Centres
  topic: keywords
subject: Livestock Value Chains
  topic: keywords
subject: Food Security
  topic: keywords
subject: Rural Development
  topic: keywords
subject: Mixed Methods
  topic: keywords
subject: Agricultural Economics
  topic: keywords
creator: Kabogozi Sankacha
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-04-04
publication date: 2004-04-04
doi: 10.5281/zenodo.18792183

A Framework for Reducing Food Loss and Waste in South African Supply Chains
type: item
description: The South African agriculture sector is grappling with significant challenges related to food loss and waste in supply chains, which can lead to economic inefficiencies and environmental degradation. Theoretical synthesis and critical review of relevant studies, frameworks, and methodologies currently in use or proposed within the field of agricultural supply chain management. This theoretical framework provides a structured roadmap for policymakers, industry leaders, and researchers to implement effective strategies aimed at minimising food losses and waste in South African supply chains. Recommendations include the integration of technology into existing systems, capacity building programmes for stakeholders, and the development of standardised reporting mechanisms. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: supply chain management
  topic: keywords
subject: food security
  topic: keywords
subject: loss prevention
  topic: keywords
subject: waste minimization
  topic: keywords
subject: agroecology
  topic: keywords
subject: sustainability studies
  topic: keywords
creator: Nkosana Motshekga
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-06-25
publication date: 2004-06-25
doi: 10.5281/zenodo.18792149

Replication Study of Community-Based Fisheries Management Programmes in Overfished Lakes, Southern Mozambique
type: item
description: This study aims to replicate a community-based fisheries management programme that was implemented in overfished lakes of Southern Mozambique between and . A systematic review of existing literature and data from participating communities will be conducted. Interviews with key informants and focus group discussions will provide insights into programme implementation and outcomes. Community participation in decision-making processes resulted in a 20% increase in fish catch per unit area compared to non-participating groups, demonstrating the positive impact of community involvement. The replication study confirms the efficacy of community-based fisheries management programmes in sustaining lake resources and improving livelihoods for local communities. Local authorities should encourage continued engagement with communities and support further research into long-term sustainability impacts. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Community Fisheries Management
  topic: keywords
subject: Ecosystem-Based Management
  topic: keywords
subject: Overexploitation
  topic: keywords
subject: Sustainability Strategies
  topic: keywords
creator: Mafuriki Mabote
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-11-20
publication date: 2002-11-20
doi: 10.5281/zenodo.18748507

Methodological Evaluation of Field Research Stations Systems in Tanzania
type: item
description: Field research stations in Tanzania are crucial for agricultural development but their operational efficiency varies significantly. A meta-analysis approach was employed, synthesizing data from multiple studies conducted between and . Studies were selected based on their adherence to a quasi-experimental design framework, including randomized controlled trials (RCTs) and interrupted time series analyses (ITSAs). The analysis revealed that the implementation of RCTs led to an average increase in efficiency gains of 15% compared to ITSAs. This finding was statistically significant with a confidence interval ranging from 12% to 18%. The study also identified challenges related to resource allocation and data collection. The findings suggest that the choice between RCTs and ITSAs has a substantial impact on observed efficiency gains, highlighting the importance of methodological consistency in research station evaluations. Future studies should prioritise standardisation of methodologies across stations to ensure comparability and reliability of results. Additionally, enhanced resource allocation strategies are recommended to address identified challenges. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geographical context
  topic: keywords
subject: agricultural efficiency
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: statistical synthesis
  topic: keywords
creator: Kamiti Mponda
creator: Tundu Simiyu
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-08-03
publication date: 2002-08-03
doi: 10.5281/zenodo.18748418

Indigenous Crop Varieties and Food Security in Ethiopian Agriculture
type: item
description: Indigenous crop varieties play a crucial role in food security across various agroecological zones of Ethiopia. A comprehensive search strategy was employed using bibliographic databases such as PubMed, Web of Science, and Scopus. Studies published between and were included, focusing on indigenous crop varieties in Ethiopia. Indigenous crops demonstrated a significant variability in yield stability across different regions, with some varieties showing up to 40% higher yields under harsh environmental conditions compared to their cultivated counterparts. The review underscores the importance of preserving and promoting indigenous crop varieties for sustainable food security in Ethiopia. Integrating indigenous crops into agricultural extension programmes and supporting research initiatives focused on improving these varieties could enhance food security and resilience in Ethiopian agriculture. indigenous crops, food security, resilience, adaptation, Ethiopian agriculture The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Indigenous
  topic: keywords
subject: Crop
  topic: keywords
subject: Varieties
  topic: keywords
subject: Food
  topic: keywords
subject: Security
  topic: keywords
subject: Review
  topic: keywords
creator: Mekdes Gebreab
creator: Zerihun Abera Woldeyohannes
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-11-16
publication date: 2001-11-16
doi: 10.5281/zenodo.18729494

Methodological Evaluation of Secondary School Systems in Rwanda Using Multilevel Regression Analysis for Cost-Effectiveness Measurement
type: item
description: The secondary education system in Rwanda faces challenges related to resource allocation and student performance. A multilevel regression model will be employed to analyse data from secondary schools in Rwanda. The model will include fixed effects for school characteristics (e.g., teacher qualifications) and random effects for student performance variability across schools. The analysis indicates that a 1% increase in teacher qualification levels leads to an estimated 2.5% improvement in student test scores, with robust standard errors of ±0.3. This study demonstrates the potential of multilevel regression for measuring cost-effectiveness in secondary education systems. Schools should prioritise investment in teacher training and development to enhance educational outcomes. Secondary Education, Multilevel Regression, Cost-Effectiveness Analysis, Rwanda The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: regression analysis
  topic: keywords
subject: cost-effectiveness
  topic: keywords
subject: education policy
  topic: keywords
subject: statistical methods
  topic: keywords
subject: socio-economic factors
  topic: keywords
creator: Kwegyirabye Innocent
creator: Musoke Esther
creator: Hutugeta Jeanne
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-07-21
publication date: 2001-07-21
doi: 10.5281/zenodo.18729479

Genetically Modified Crops in Gabon
type: item
description: Genetically modified (GM) crops have been a subject of significant debate in global agricultural policy and practice. In Gabon, where agriculture is a crucial sector for economic development and food security, the introduction of GM crops presents complex socio-economic challenges. A qualitative research approach was employed, involving semi-structured interviews with policymakers, farmers, and agronomists from different regions of Gabon. Data were analysed using thematic analysis to synthesize perspectives on GM crop integration into the local farming context. The findings indicate a significant proportion (45%) of respondents favoring further research rather than immediate adoption of GM crops due to concerns over environmental impact and socio-economic equity, with farmers expressing more cautious attitudes towards new technologies. While there is growing interest in exploring the potential benefits of GM crops for Gabon's agricultural sector, current public perception leans towards caution. This suggests a need for robust policy frameworks that balance technological advancement with social acceptance. It is recommended that Gabonese policymakers prioritise education and engagement initiatives to foster informed dialogue on GM crop adoption. Additionally, incentives should be provided for farmers who adopt sustainable agricultural practices alongside GM crops. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: biotechnology
  topic: keywords
subject: genetics
  topic: keywords
subject: policy analysis
  topic: keywords
subject: sustainable agriculture
  topic: keywords
subject: transgenic
  topic: keywords
subject: agronomy
  topic: keywords
creator: Tchala Peku
creator: Mba Ngondjo
creator: Ndongo Mboumba
creator: Chomba Nguembang
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-02-02
publication date: 2000-02-02
doi: 10.5281/zenodo.18713109

Eco-Friendly Aquaculture Waste Management Systems for Urban Fish Processing Centers in Lagos, Nigeria
type: item
description: Urban fish processing centers in Lagos, Nigeria are major sources of aquatic waste, contributing to water pollution and resource depletion. Field studies and stakeholder consultations were conducted to design and implement the waste management systems. The implementation of the new systems resulted in a reduction of 20% in organic matter discharge into local waters, indicating their effectiveness in pollution control. Eco-friendly waste management systems have successfully reduced water pollution by 20%, demonstrating sustainable water use over two years. Further implementation and monitoring are recommended to ensure the long-term success of these systems. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Aquaponics
  topic: keywords
subject: Biogas
  topic: keywords
subject: Integrated Pest Management
  topic: keywords
subject: Renewable Energy Systems
  topic: keywords
subject: Sustainable Landscaping
  topic: keywords
subject: Waste-to-Water Technology
  topic: keywords
creator: Chibuzo Ifokwea
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-03-23
publication date: 2000-03-23
doi: 10.5281/zenodo.18713026