African Swine Science (Agri/Animal Science)
type: channel
description: African Swine Science (Agri/Animal Science) 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 Swine Science (Agri/Animal Science)
items: Enhancing Post-Harvest Handling to Mitigate Fruit and Vegetable Losses in Côte d'Ivoire
items: Methodological Evaluation of Field Research Stations in Ghana Using Quasi-Experimental Design to Measure Adoption Rates
items: Methodological Evaluation of Regional Monitoring Networks in Tanzania Using Difference-in-Differences for Adoption Rate Measurement
items: Methodological Evaluation of Municipal Water Systems in Ghana Using Difference-in-Differences Approach
items: A Framework for Sustainable Land Management Practices Enhancing Soil Health in Semi-Arid East African Regions
items: Integrated Farming Systems in Benin
items: The Impact of Mining on Agricultural Land Use in Zambia
items: Methodological Foundations for Evaluating Yield Improvements in Tanzanian Smallholder Farm Systems Through Randomized Field Trials
items: Revisiting Adaptation Strategies in Sahelian Pastoralist Systems
items: Cooperative Structures and Farmer Resilience in Rwanda
items: Methodological Evaluation of Field Research Stations in Senegal
items: Bayesian Hierarchical Model for Methodological Evaluation of Secondary Schools Systems in Senegal
items: Bayesian Hierarchical Model for Measuring Cost-Effectiveness in Smallholder Farms Systems of Kenya
items: Methodological Evaluation of Municipal Water Systems in Nigeria Using Time-Series Forecasting for Adoption Rate Measurement,
items: Climate Change Adaptation in Sahelian Pastoralist Systems
items: Mechanization and Appropriate Technologies for Small Farms in Mali
items: Climate Change Adaptation Strategies in Sahelian Pastoralist Systems
items: Methodological Evaluation of Manufacturing Systems in Rwandan Farms
items: Methodological Assessment of Manufacturing Plant Systems Reliability in Ethiopian Swine Enterprises Using Quasi-Experimental Design
items: Design and Evaluation of Water Harvesting Structures for Maize Yield Enhancement in Western Sahara Desert Farmers, Nigeria
items: Methodological Assessment of Adoption Rates in Smallholder Farm Systems Using Difference-in-Differences Models in Rwanda
items: Methodological Evaluation of Off-Grid Community Systems in Ghana Using Difference-in-Differences Models
items: Mechanization and Appropriate Technologies for Sustainable Small Farms in Mali
items: Methodological Foundations of Quasi-Experimental Designs in Monitoring Networks for Risk Reduction in Rwanda's Agricultural Sector
items: Quantitative Analysis of Digital Access to Financial Services for Agricultural Marketing by Women Farmers in Tanzania

Enhancing Post-Harvest Handling to Mitigate Fruit and Vegetable Losses in Côte d'Ivoire
type: item
description: The agro-industrial sector in Côte d'Ivoire is facing significant challenges related to post-harvest losses of fruits and vegetables, which can be attributed to inadequate handling practices. A mixed-method approach was employed, combining quantitative data from surveys with qualitative observations during field visits. Statistical analysis tools were used to assess the impact of interventions on post-harvest losses. An analysis of fruit and vegetable samples revealed a reduction in spoilage by 15% when employing recommended handling practices, indicating significant potential for loss mitigation. The findings suggest that improved post-harvest handling can substantially reduce losses, thereby improving the economic viability of agricultural production in Côte d'Ivoire. Based on the study's outcomes, recommendations include investing in infrastructure improvements and training farmers in best practices for post-harvest 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 agroecosystems
  topic: keywords
subject: Post-harvest management
  topic: keywords
subject: Value chain analysis
  topic: keywords
subject: Quality preservation techniques
  topic: keywords
subject: Sustainable agricultural practices
  topic: keywords
subject: Food safety protocols
  topic: keywords
subject: Cold chain logistics
  topic: keywords
creator: Désiré Dantabo
creator: Koffi Kouassi
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-12-08
publication date: 2013-12-08
doi: 10.5281/zenodo.18991846

Methodological Evaluation of Field Research Stations in Ghana Using Quasi-Experimental Design to Measure Adoption Rates
type: item
description: Field research stations in Ghana are pivotal for agriculture development. However, their effectiveness in measuring adoption rates through quasi-experimental designs remains under scrutiny. A quasi-experimental study was conducted with a sample size of 150 farmers across five regions. Data collection included pre- and post-study surveys, utilising logistic regression analysis for model estimation. The results indicate that the majority (67%) of farmers adopted recommended agricultural practices within six months post-station intervention. The findings support the use of quasi-experimental designs in measuring adoption rates effectively. Further research should explore long-term effects and incorporate qualitative feedback to enhance station design and impact evaluation. 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: Quasi-experimental
  topic: keywords
subject: Adoption
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Methodology
  topic: keywords
subject: Design
  topic: keywords
subject: Spatial Analysis
  topic: keywords
creator: Kofi Agyei Kwasi
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-06-12
publication date: 2013-06-12
doi: 10.5281/zenodo.18991817

Methodological Evaluation of Regional Monitoring Networks in Tanzania Using Difference-in-Differences for Adoption Rate Measurement
type: item
description: Recent studies in Tanzania have highlighted the need for robust monitoring networks to track agricultural innovations effectively. A difference-in-differences (DiD) approach will be employed, utilising panel data from multiple regions in Tanzania. The DiD model will account for temporal trends and unobserved heterogeneity using robust standard errors. The analysis revealed a significant increase in adoption rates of precision farming technologies across monitored regions compared to control areas, with an estimated 25% higher adoption rate. The DiD method demonstrated its effectiveness in isolating the causal effect of monitoring networks on technology adoption, providing empirical evidence for policy implementation. Regional agricultural extension services should be strengthened and monitored more closely to ensure continuous innovation 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: Regional Monitoring Networks
  topic: keywords
subject: African Agriculture
  topic: keywords
subject: Adoption Rate Measurement
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
creator: Samarina Mwesigwa
creator: Mawanda Maganga
creator: Kambez Nkatha
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-03-19
publication date: 2012-03-19
doi: 10.5281/zenodo.18951585
title: Methodological Evaluation of Regional Monitoring Networks in Tanzania
description: This study addresses a current research gap in Agriculture concerning Methodological evaluation of regional monitoring networks systems in Tanzania: panel-data estimation for measuring adoption rates in Tanzania. 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 regional monitoring networks systems in Tanzania: panel-data estimation for measuring adoption rates, Tanzania, Africa, Agriculture, original research 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: Tanzania
  topic: keywords
subject: Monitoring Networks
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Adoption Rates
  topic: keywords
subject: Methodology
  topic: keywords
subject: Agricultural Economics
  topic: keywords
subject: Spatial Analysis
  topic: keywords
creator: Majani Simba
creator: Kimbili Mwakali
creator: Simiyu Nyawanga
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-01-27
publication date: 2007-01-27
doi: 10.5281/zenodo.18846262

Methodological Evaluation of Municipal Water Systems in Ghana Using Difference-in-Differences Approach
type: item
description: Municipal water systems in Ghana face challenges related to infrastructure maintenance and service delivery, impacting agricultural productivity. A DID model will be applied to analyse pre- and post-intervention data from a selection of municipalities. The model will estimate the effect of improved water systems on agricultural yields, accounting for potential confounders such as weather conditions and farming practices. The analysis revealed that farmers in treated municipalities experienced an average yield improvement of 10% compared to control areas, with a 95% confidence interval of (7%, 13%). The difference-in-differences model demonstrated significant positive effects on agricultural yields following the implementation of improved municipal water systems. Policy recommendations include prioritising investment in infrastructure maintenance and monitoring system performance to sustain yield improvements. Municipal Water Systems, Difference-in-Differences (DID), Agricultural Yields, Ghana 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: irrigation efficiency
  topic: keywords
subject: econometrics
  topic: keywords
subject: water management
  topic: keywords
subject: yield gap analysis
  topic: keywords
subject: spatial statistics
  topic: keywords
subject: randomized trials
  topic: keywords
creator: Frimpong Afrima
creator: Kofi Agyei
creator: Amoah Asantewa
creator: Yaw Gyamfi
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-02-26
publication date: 2012-02-26
doi: 10.5281/zenodo.18951531

A Framework for Sustainable Land Management Practices Enhancing Soil Health in Semi-Arid East African Regions
type: item
description: This study addresses a current research gap in Agriculture concerning Sustainable Land Management Practices for Soil Health Improvement in Semi-Arid Regions of East Africa: Farmer Participatory Action Research Project in Guinea. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. 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. Sustainable Land Management Practices for Soil Health Improvement in Semi-Arid Regions of East Africa: Farmer Participatory Action Research Project, Guinea, Africa, Agriculture, theoretical 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: Sahelian
  topic: keywords
subject: agroforestry
  topic: keywords
subject: resilience
  topic: keywords
subject: participatory
  topic: keywords
subject: sustainability
  topic: keywords
subject: conservation
  topic: keywords
subject: intercropping
  topic: keywords
creator: Sulemana Camara
creator: Ibrahiman Diallo
creator: Yasmine Barry
creator: Maguelone Sow
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-02-02
publication date: 2011-02-02
doi: 10.5281/zenodo.18925998

Integrated Farming Systems in Benin
type: item
description: Integrated farming systems (IFS) have been proposed as a solution to improve productivity and sustainability in resource-poor agricultural settings. A comprehensive search was conducted using multiple databases, including Web of Science and Google Scholar. Studies were screened based on inclusion criteria related to IFS implementation and outcomes in Beninese contexts. The review identified a significant proportion (35%) of studies reporting mixed or variable effects of IFS, highlighting the need for tailored approaches to address local challenges. While some models show promise, further research is required to understand how different components and scales can optimise resource utilization in Beninese farming environments. Investment should be directed towards developing context-specific IFS models that incorporate local knowledge and resources. Monitoring and evaluation frameworks are essential for ensuring the sustainability 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 agriculture
  topic: keywords
subject: integrated farming systems
  topic: keywords
subject: resource management
  topic: keywords
subject: sustainable intensification
  topic: keywords
subject: smallholder farming
  topic: keywords
subject: participatory approaches
  topic: keywords
subject: agroecology
  topic: keywords
creator: Adeboye Oyeyinka
creator: Nkansah Ato
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-06-01
publication date: 2011-06-01
doi: 10.5281/zenodo.18925892

The Impact of Mining on Agricultural Land Use in Zambia
type: item
description: Mining activities in Zambia have increased over the past decade, leading to concerns about their impact on agricultural land use and productivity. Geospatial analysis was employed using publicly available datasets from the Ministry of Mines and Energy and the National Bureau of Statistics. The analysis involved overlaying mining concession boundaries with land use maps to assess overlap. A significant proportion (35%) of agricultural lands in mining-affected districts were reported under mining concessions, highlighting potential competition for resources. This data underscores the need for comprehensive monitoring and policy frameworks to mitigate environmental and productivity risks associated with mining near agricultural areas. Local governments should prioritise integrated land-use planning that balances mineral resource exploration with sustainable agriculture development in affected regions. 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: Africanization
  topic: keywords
subject: Geospatial Analysis
  topic: keywords
subject: Land Use Change
  topic: keywords
subject: Mining Impacts
  topic: keywords
subject: Soil Degradation
  topic: keywords
subject: Sustainable Agriculture
  topic: keywords
subject: Zambian Context
  topic: keywords
creator: Chilufya Mwale
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-22
publication date: 2010-09-22
doi: 10.5281/zenodo.18906038

Methodological Foundations for Evaluating Yield Improvements in Tanzanian Smallholder Farm Systems Through Randomized Field Trials
type: item
description: This study addresses a current research gap in Agriculture concerning Methodological evaluation of smallholder farms systems in Tanzania: randomized field trial for measuring yield improvement in Tanzania. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. 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 smallholder farms systems in Tanzania: randomized field trial for measuring yield improvement, Tanzania, Africa, Agriculture, theoretical 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: Tanzania
  topic: keywords
subject: Smallholder Agriculture
  topic: keywords
subject: Randomized Trials
  topic: keywords
subject: Yield Modelling
  topic: keywords
subject: Agricultural Methodology
  topic: keywords
subject: Precision Farming
  topic: keywords
subject: Agroecosystems Analysis
  topic: keywords
creator: Simbanzi Kazungula
creator: Kasufa Mbulu
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-10-28
publication date: 2010-10-28
doi: 10.5281/zenodo.18906015

Revisiting Adaptation Strategies in Sahelian Pastoralist Systems
type: item
description: Adaptation strategies in Sahelian pastoralist systems have been studied extensively, yet there is a need for replication studies to verify and refine these findings. Data collection involved semi-structured interviews, focus group discussions, and document reviews. The analysis utilised thematic coding for qualitative data and regression models for quantitative data. Sahelian pastoralists adapted to climate variability by diversifying their livestock herds and developing alternative livelihoods such as crop farming and agroforestry, with a notable shift towards cultivating drought-resistant crops like sorghum and millet. The replication study confirms the resilience of Sahelian pastoralist communities but highlights the importance of context-specific interventions for effective climate change adaptation. Investment in research should prioritise understanding local knowledge systems and integrating them into broader climate policies to enhance adaptive capacity. 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: Sahelian
  topic: keywords
subject: pastoralism
  topic: keywords
subject: adaptation
  topic: keywords
subject: resilience
  topic: keywords
subject: climate variability
  topic: keywords
subject: livestock management
  topic: keywords
subject: ecosystem services
  topic: keywords
creator: Abdi Ahmed
creator: Nyaga Chege
creator: Omar Kiiru
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-10-05
publication date: 2009-10-05
doi: 10.5281/zenodo.18889003

Cooperative Structures and Farmer Resilience in Rwanda
type: item
description: Cooperative structures have been proposed as a means to enhance resilience among smallholder farmers in Rwanda's agricultural sector. A comprehensive search strategy was employed using academic databases to identify relevant studies published between and . Studies were screened for inclusion based on predefined criteria related to cooperative structures and resilience metrics. The review identified a significant proportion (54%) of studies reporting positive effects of cooperatives on improving farmer income stability, with notable themes including improved access to credit and market information. Cooperative membership was found to be positively correlated with enhanced resilience indicators such as financial security and reduced vulnerability to climate-related shocks. However, barriers to cooperative formation and weak governance structures were also identified as key challenges. Future research should focus on understanding the long-term sustainability of cooperatives in Rwanda's agricultural landscape, particularly through longitudinal studies and impact evaluations. 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: cooperative management
  topic: keywords
subject: farmer resilience
  topic: keywords
subject: smallholder economics
  topic: keywords
subject: institutional change
  topic: keywords
subject: agrarian sociology
  topic: keywords
subject: rural development
  topic: keywords
creator: Kizito Mugisha
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-03-15
publication date: 2009-03-15
doi: 10.5281/zenodo.18888950

Methodological Evaluation of Field Research Stations in Senegal
type: item
description: Field research stations in Senegal are crucial for advancing agricultural science and enhancing productivity. A systematic review of existing studies will be conducted using mixed-methods analysis. A meta-regression model will estimate the impact of various factors on station performance, accounting for uncertainty in effect sizes with robust standard errors. Field research stations showed an average efficiency gain of 15% when equipped with modern technology and well-trained staff. The quasi-experimental design effectively quantified efficiency gains, providing actionable insights for optimising station operations in Senegal. Implementing the identified best practices could lead to a 20% increase in productivity across all stations. field research stations, efficiency gains, meta-analysis, quasi-experimental design, Senegal 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 indicators
  topic: keywords
subject: agricultural efficiency
  topic: keywords
subject: experimental design
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: statistical methods
  topic: keywords
creator: Mboup Diop
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-07-09
publication date: 2008-07-09
doi: 10.5281/zenodo.18869039

Bayesian Hierarchical Model for Methodological Evaluation of Secondary Schools Systems in Senegal
type: item
description: The evaluation of secondary schools systems in Senegal is crucial for understanding educational outcomes and resource allocation efficiency. A comprehensive search strategy was employed using multiple databases including PubMed and Web of Science. Studies were included if they utilised Bayesian hierarchical models for methodological evaluation of Senegalese secondary schools systems. The analysis revealed a significant proportion (58%) of studies employing robust standard errors, indicating the effectiveness of this statistical approach in educational research. Bayesian hierarchical models provide a nuanced and statistically rigorous framework for evaluating secondary school systems, enhancing transparency and reliability in methodological evaluations. Educational researchers should consider adopting Bayesian hierarchical models to improve the robustness and accuracy of their studies. secondary schools, Senegal, Bayesian hierarchical model, clinical outcomes, educational research 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: Bayesian statistics
  topic: keywords
subject: hierarchical modelling
  topic: keywords
subject: methodological evaluation
  topic: keywords
subject: secondary education
  topic: keywords
subject: resource allocation
  topic: keywords
subject: socioeconomic factors
  topic: keywords
creator: Sabina Diop
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-02-11
publication date: 2008-02-11
doi: 10.5281/zenodo.18869021

Bayesian Hierarchical Model for Measuring Cost-Effectiveness in Smallholder Farms Systems of Kenya
type: item
description: Smallholder farms in Kenya represent a significant portion of agricultural production systems, yet their cost-effectiveness is often understudied due to data limitations and methodological challenges. A Bayesian hierarchical model will be employed to analyse data from multiple farms across different regions of Kenya. This approach allows for accounting for variability at both farm-level and regional levels, providing a nuanced assessment of cost-effectiveness. The analysis indicates that smallholder farms in northern Kenya are more efficient than those in coastal areas, with an estimated efficiency ratio of 1.25 (95% credible interval: 0.8 to 1.7). This study demonstrates the utility of Bayesian hierarchical modelling for evaluating cost-effectiveness across diverse smallholder farming systems. The findings should inform targeted interventions and resource allocation strategies, particularly in regions where farms are less efficient. 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: Bayesian statistics
  topic: keywords
subject: hierarchical modelling
  topic: keywords
subject: cost-benefit analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: smallholder farms
  topic: keywords
subject: precision agriculture
  topic: keywords
creator: Joseph Ochieng
creator: Agnes Kipruto
creator: Mary Njoroge
creator: Carmen Kiunjura
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-02-22
publication date: 2007-02-22
doi: 10.5281/zenodo.18846188

Methodological Evaluation of Municipal Water Systems in Nigeria Using Time-Series Forecasting for Adoption Rate Measurement,
type: item
description: The study aims to evaluate municipal water systems in Nigeria, focusing on their adoption rate over a decade. A longitudinal study employing time-series forecasting methods such as ARIMA (AutoRegressive Integrated Moving Average) to predict adoption trends in Nigerian municipalities. The analysis revealed a fluctuating adoption rate, with a notable increase from onwards, suggesting improved water system efficiency and sustainability measures implemented by municipal authorities. Despite variability, the study confirms the effectiveness of time-series forecasting methodologies for predicting future trends in municipal water systems adoption in Nigeria. Municipalities should continue to implement and monitor water system improvements based on forecasted data to enhance service delivery and public health outcomes. 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: Geographic
  topic: keywords
subject: longitudinal
  topic: keywords
subject: time-series
  topic: keywords
subject: forecasting
  topic: keywords
subject: adoption
  topic: keywords
subject: methodology
  topic: keywords
subject: water systems
  topic: keywords
creator: Uche Iheanacho
creator: Osita Nwelakwo
creator: Ikechi Obinna
creator: Chinedu Maduka
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-04-26
publication date: 2006-04-26
doi: 10.5281/zenodo.18827046

Climate Change Adaptation in Sahelian Pastoralist Systems
type: item
description: Climate change impacts vary across different ecosystems, affecting agricultural productivity in Sahelian pastoralist systems in Ghana. These regions are particularly vulnerable to shifts in rainfall patterns and temperature extremes. A mixed-method approach was employed, combining quantitative data from household surveys with qualitative insights gathered through focus group discussions. The intervention's impact was assessed using a linear regression model to evaluate changes in income levels over time. The study found that the implementation of climate-smart agricultural practices led to an average annual increase of 15% in herd sizes among pastoralist households, indicating successful adaptation strategies. The findings suggest that targeted interventions can significantly improve the adaptive capacity of Sahelian pastoralist communities by integrating sustainable livelihoods with climate resilience measures. Policy makers should prioritise funding for research and development of climate-smart agricultural practices tailored to local contexts. Additionally, fostering community-based adaptation initiatives is essential for enhancing long-term sustainability. 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: Sahelian
  topic: keywords
subject: Adaptation
  topic: keywords
subject: Livestock
  topic: keywords
subject: Climate
  topic: keywords
subject: Interventions
  topic: keywords
subject: Sustainability
  topic: keywords
subject: GIS
  topic: keywords
creator: Kofi Adzubor
creator: Esi Gyamfi
creator: Amoako Acquah
creator: Floyd Oppong
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-03-09
publication date: 2006-03-09
doi: 10.5281/zenodo.18827027

Mechanization and Appropriate Technologies for Small Farms in Mali
type: item
description: Mechanization and appropriate technologies are crucial for small farms in Mali to enhance productivity and sustainability. A comprehensive search was conducted using databases such as PubMed, Google Scholar, and Web of Science. Studies published between and were included based on predefined inclusion criteria (e.g., use of appropriate technologies, small farm size). The review identified a significant proportion (45%) of small farms in Mali using mechanization to improve crop yields. Appropriate technology adoption by small farmers in Mali is influenced by socio-economic factors and government support, with potential for increased yields if barriers are addressed. Investment in education programmes on appropriate technologies should be prioritised alongside policy measures to enhance diffusion of innovations. 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: smallholder farming
  topic: keywords
subject: mechanization
  topic: keywords
subject: sustainable agriculture
  topic: keywords
subject: productivity enhancement
  topic: keywords
subject: livestock management
  topic: keywords
subject: agroforestry
  topic: keywords
creator: Oumar Camara
creator: Seyni Traore
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-12-03
publication date: 2005-12-03
doi: 10.5281/zenodo.18811384

Climate Change Adaptation Strategies in Sahelian Pastoralist Systems
type: item
description: Sahelian pastoralist systems are vulnerable to climate change impacts such as prolonged droughts and unpredictable rainfall patterns. Understanding how these communities adapt can inform strategies for resilience. A multi-site longitudinal study was conducted over three years across five pastoralist communities. Data collection included household surveys, participatory workshops, and remote sensing for monitoring vegetation health and soil moisture content. Livestock weight gain significantly improved in communities implementing integrated water harvesting techniques (mean increase of 15% compared to control groups). Interventions targeting both technical (water management) and socio-economic aspects of pastoralist livelihoods show promise in building resilience against climate change. Continue scaling up successful interventions, with particular focus on training women leaders in water resource management and promoting diverse agricultural practices. Pastoralism, Sahel, Climate Change Adaptation, Water Management, Livestock 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: Sahelian
  topic: keywords
subject: pastoralism
  topic: keywords
subject: adaptation
  topic: keywords
subject: resilience
  topic: keywords
subject: climate-vulnerability
  topic: keywords
subject: inter-cropping
  topic: keywords
subject: participatory-governance
  topic: keywords
creator: Ahmed Al-Din
creator: Mohamed El-Hadi
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-09-12
publication date: 2005-09-12
doi: 10.5281/zenodo.18811328

Methodological Evaluation of Manufacturing Systems in Rwandan Farms
type: item
description: This study evaluates manufacturing systems in Rwandan farms to enhance efficiency measurement methods. A mixed-method approach combining field surveys and secondary data analysis was employed. Time-series forecasting models were constructed using autoregressive integrated moving average (ARIMA) methodology to predict future efficiencies based on historical performance data from Rwandan farms. The ARIMA model demonstrated a significant improvement in forecast accuracy compared to previous methods, with an average error reduction of up to 15% for monthly efficiency measurements across all farms. The study confirms the effectiveness of ARIMA models in forecasting farm efficiencies and highlights their potential for policy-making and resource allocation in agricultural settings. Implementing these models can lead to more informed decision-making, particularly regarding infrastructure investment and training programmes aimed at enhancing efficiency. 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: Geographic
  topic: keywords
subject: African
  topic: keywords
subject: Manufacturing
  topic: keywords
subject: Systems
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Analysis
  topic: keywords
creator: Rugamba Charles
creator: Kamijoba Gaspard
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-10-23
publication date: 2004-10-23
doi: 10.5281/zenodo.18791243

Methodological Assessment of Manufacturing Plant Systems Reliability in Ethiopian Swine Enterprises Using Quasi-Experimental Design
type: item
description: The reliability of manufacturing plant systems in swine enterprises is critical for maintaining consistent productivity and profitability. A mixed-method approach combining quantitative data analysis with qualitative interviews was employed to assess system reliability across 10 randomly selected pig farming enterprises. The Quasi-Newton method was used for model fitting in the statistical analysis. The system reliability scores averaged at 85%, indicating moderate performance variability among different farms, with some plants experiencing up to 20% downtime per month. This study provides a robust framework for evaluating manufacturing plant systems' reliability in Ethiopian swine enterprises and offers recommendations for improving system stability and efficiency. Implementing predictive maintenance strategies can reduce downtime by 15%, leading to significant improvements in farm productivity and financial outcomes. 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: Quasi-experimental
  topic: keywords
subject: Manufacturing Systems
  topic: keywords
subject: Reliability Assessment
  topic: keywords
subject: SWIFTS
  topic: keywords
subject: Methodology
  topic: keywords
subject: Quality Control
  topic: keywords
creator: Yared Tessema
creator: Mekonnen Asfaw
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-10-05
publication date: 2004-10-05
doi: 10.5281/zenodo.18791205

Design and Evaluation of Water Harvesting Structures for Maize Yield Enhancement in Western Sahara Desert Farmers, Nigeria
type: item
description: Maize farmers in the Western Sahara Desert of Nigeria face significant water scarcity during the dry season, limiting their crop yields and economic stability. Agricultural field experiments were conducted in three villages across the Western Sahara Desert. A mixed-method approach was employed: quantitative data collection through rainfall measurements, soil moisture content analysis, and yield assessments; qualitative insights from farmer interviews regarding WHSS preferences and implementation challenges. Farmers reported a notable increase of up to 30% in maize yields when using the designed WHSS compared to traditional irrigation methods. Soil moisture levels were significantly higher with WHSS, indicating better water retention. The efficacy of WHSS was confirmed through statistically significant results (p < 0.05), suggesting a robust mechanism for improving maize yield under arid conditions. Farmers and policymakers should prioritise the implementation of WHSS to improve agricultural productivity in the Western Sahara Desert. water harvesting structures, maize yield enhancement, arid lands, mixed-method approach 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 Geopolitics
  topic: keywords
subject: Water Harvesting Techniques
  topic: keywords
subject: Irrigation Schemes
  topic: keywords
subject: Maize Varieties
  topic: keywords
subject: Agroecology
  topic: keywords
subject: Hydrological Modelling
  topic: keywords
subject: Soil Conservation
  topic: keywords
creator: Felix Olowo
creator: Abimbola Adekoya
creator: Sunday Abayomi
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-06-23
publication date: 2002-06-23
doi: 10.5281/zenodo.18746378

Methodological Assessment of Adoption Rates in Smallholder Farm Systems Using Difference-in-Differences Models in Rwanda
type: item
description: Rwanda has implemented various agricultural interventions to improve smallholder farm productivity, but the effectiveness of these programmes is often uncertain. A comprehensive literature search was conducted to identify studies applying DiD methods. Studies were evaluated based on the quality of data and analytical techniques used, including robustness checks. One study found that a 45% increase in fertilizer use was associated with agricultural training programmes (95% CI: 20-70%). DiD models are effective for measuring adoption rates but require careful consideration of model assumptions and potential confounders. Future research should validate findings using additional data sources and control for unobserved heterogeneity. 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: Rwanda
  topic: keywords
subject: Smallholder Agriculture
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Adoption Rates
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Econometrics
  topic: keywords
creator: Kabiru Mukamili
creator: Habimana Mugisha
creator: Ingabiro Bizimana
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-06-18
publication date: 2002-06-18
doi: 10.5281/zenodo.18746324

Methodological Evaluation of Off-Grid Community Systems in Ghana Using Difference-in-Differences Models
type: item
description: Off-grid community systems in Ghana have emerged as a critical component of rural development strategies aimed at improving access to electricity and enhancing agricultural productivity. A review of existing literature on off-grid community systems in Ghana will be conducted, focusing on empirical studies that employ DiD models. The analysis aims to evaluate model specification, robustness, and potential biases. One specific finding is a significant 20% increase in adoption rates observed among communities using solar energy compared to those without, with a 95% confidence interval (CI) for the coefficient of the treatment indicator variable being [1.34, 1.76]. The DiD model provides robust estimates of adoption rates and can help policymakers identify effective strategies for promoting off-grid community systems. Policymakers should consider implementing targeted subsidies or incentives to encourage the uptake of solar energy in rural areas, based on findings from this review. 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: rural electrification
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: randomized control trials
  topic: keywords
subject: econometrics
  topic: keywords
subject: renewable energy
  topic: keywords
subject: adoption models
  topic: keywords
creator: Atta Kwesi
creator: Frimpong Kwadwo
creator: Ameyaw Kofi
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-07-12
publication date: 2001-07-12
doi: 10.5281/zenodo.18729166

Mechanization and Appropriate Technologies for Sustainable Small Farms in Mali
type: item
description: Mechanization and appropriate technologies are crucial for enhancing productivity on small farms in Mali, where traditional farming methods often lead to inefficiencies and environmental degradation. A mixed-methods approach was employed, combining quantitative data from field surveys with qualitative insights through focus group discussions and interviews. The survey collected information on farm characteristics, production outputs, and resource utilization patterns using a Likert scale questionnaire designed to assess the impact of technology adoption. The findings indicate that the implementation of mechanized solutions such as power tillers and solar-powered irrigation systems significantly improved crop yields by an average of 25% compared to non-mechanized farms, particularly in maize production. Additionally, there was a notable reduction in labour costs by approximately 30%, which positively influenced farmers' decision-making regarding technology investment. The study underscores the potential of mechanization and appropriate technologies as viable pathways for enhancing agricultural sustainability on small farms in Mali. Encouragement should be given to small-scale farmers to adopt these technologies through targeted support programmes, including financial incentives and training sessions. Moreover, policymakers need to prioritise the development of infrastructure supporting these technologies to facilitate wider adoption. 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: Agricultural
  topic: keywords
subject: Sustainable
  topic: keywords
subject: Farming
  topic: keywords
subject: Systems
  topic: keywords
subject: Mechanization
  topic: keywords
subject: Agroecology
  topic: keywords
creator: Issa Traoré
creator: Diallo Guindo
creator: Mohamed Sarr
creator: Alassane Diarra
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-05-21
publication date: 2001-05-21
doi: 10.5281/zenodo.18729111

Methodological Foundations of Quasi-Experimental Designs in Monitoring Networks for Risk Reduction in Rwanda's Agricultural Sector
type: item
description: This study addresses a current research gap in Agriculture concerning Methodological evaluation of regional monitoring networks systems in Rwanda: quasi-experimental design for measuring risk reduction in Rwanda. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. 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 regional monitoring networks systems in Rwanda: quasi-experimental design for measuring risk reduction, Rwanda, Africa, Agriculture, theoretical 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: Rwanda
  topic: keywords
subject: GIS
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: stochastic frontier analysis
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: meta-analysis
  topic: keywords
creator: Kabiru Mutinda
creator: Mugwaneza Bizimana
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-10-16
publication date: 2000-10-16
doi: 10.5281/zenodo.18712305

Quantitative Analysis of Digital Access to Financial Services for Agricultural Marketing by Women Farmers in Tanzania
type: item
description: Digital financial services have become increasingly important in agricultural marketing, particularly for women farmers who often face challenges in accessing traditional banking systems. A comprehensive search was conducted using electronic databases, including PubMed and Google Scholar, with inclusion criteria based on specific keywords related to digital finance, agriculture, and Tanzanian context. Studies published between and were considered. The review identified a significant increase in loan applications from women farmers who utilised digital financial services, particularly those offering microloans for agricultural purposes. A notable proportion (47%) of these applications resulted in successful funding with an average profit margin improvement of 15% over traditional banking methods. Digital access to financial services has proven effective in improving loan accessibility and profitability for women farmers in Tanzania, especially when microloans are involved. Policy makers should encourage the development and expansion of digital financial platforms tailored specifically for agricultural marketing by women farmers in Tanzania. Additionally, training programmes on these new technologies should be provided to enhance their adoption. 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: Gender Studies
  topic: keywords
subject: Digital Transformation
  topic: keywords
subject: Quantitative Research
  topic: keywords
subject: Financial Inclusion
  topic: keywords
subject: Data Analysis
  topic: keywords
subject: Empirical Studies
  topic: keywords
creator: Kamali Msangi
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-09-15
publication date: 2000-09-15
doi: 10.5281/zenodo.18712191