Journal of Agroecology, Environment and Sustainable Farming
type: channel
description: Journal of Agroecology, Environment and Sustainable Farming 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: Journal of Agroecology, Environment and Sustainable Farming
items: Methodological Evaluation of Secondary School Systems in Ethiopia Through Multilevel Regression Analysis
items: Analysing Gendered Digital Literacy Programmes via Experimental Design in Nigerian Rural Markets
items: Developing EdTech Solutions for Remote Learning in Rural Mozambique
items: Development and Validation of Community-Based Livestock Insurance Schemes in Eastern Indian Villages for Financial Protection and Economic Stability Enhancement
items: Strategic Approaches to Enhancing Digital Access in Rural South Africa
items: Evaluating Mobile Money Platforms for Agricultural Inputs in Mozambique
items: Bayesian Hierarchical Modelling for Risk Reduction in Ghanaian Field Research Stations Systems
items: Methodological Assessment of Secondary School Systems in Tanzania Using Quasi-Experimental Design
items: Precision Farming in Urban Slums
items: Digital Payment Systems and Financial Sustainability in Smallholder Farmers of Eastern Kenya
items: Methodological Evaluation of Municipal Water Systems Yield Improvement in South Africa
items: Methodological Assessment of Quasi-Experimental Design in Off-Grid Community Systems for Risk Reduction in South Africa,
items: Cost-Effectiveness Evaluation of Off-Grid Community Systems in Tanzania Using Randomized Field Trials
items: Methodological Evaluation of Smallholder Farms Systems in South Africa Using Difference-in-Differences Model for Efficiency Gains Analysis
items: Evaluating Soil Health Management Programmes on Food Security and Livelihood Stability in Ethiopian Highlands
items: Comparative Analysis of Community-Driven Seedling Production Using Agroecological Techniques in South Indian Rural Villages Contextualized within Egyptian Settings
items: Comparative Assessment of Community-Based Conservation Initiatives in Reducing Poaching within South African National Parks
items: Analysing Water Rights Conflict Resolution through Community Mediation Platforms in Ethiopia's Rift Valley
items: Empowering Female Innovators through Digital Literacy Programmes in Nairobi Informal Settlements
items: AI-Powered Satellite Imagery for Land Use Mapping and Monitoring in Gambia
items: Bayesian Hierarchical Modelling for Methodological Evaluation of Smallholder Farm Systems in Uganda
items: Artificial Intelligence in Diagnostics
items: Methodological Assessment of Quasi-Experimental Design in Measuring Yield Improvement Among Smallholder Farms Systems in Nigeria
items: Bayesian Hierarchical Model for Measuring Adoption Rates in Municipal Water Systems in Rwanda
items: Virtual Reality Training Programmes in Agricultural Extension
items: Methodological Assessment of Regional Monitoring Networks Systems in Senegal

Methodological Evaluation of Secondary School Systems in Ethiopia Through Multilevel Regression Analysis
type: item
description: This study focuses on evaluating the secondary school systems in Ethiopia through a methodological approach, specifically utilising multilevel regression analysis to measure adoption rates. This research employs multilevel regression analysis to assess the impact of different factors on school system adoption. The study uses data collected at both national and local administrative levels, providing insights into systemic changes over time. The analysis revealed a significant variation in adoption rates across regions, with some areas showing substantial improvement (e.g., an increase of 20% in resource allocation for schools). This study highlights the importance of multilevel regression analysis in understanding and improving secondary education systems in Ethiopia. Based on the findings, policymakers are encouraged to implement targeted interventions at regional levels to enhance educational outcomes. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Africa
  topic: keywords
subject: Regression
  topic: keywords
subject: Modelling
  topic: keywords
subject: Socioeconomic
  topic: keywords
subject: Facility
  topic: keywords
subject: Variance
  topic: keywords
creator: Mihret Ayeha
creator: Seresignesh Tadesse
creator: Habtamu Assefa
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-11-25
publication date: 2013-11-25
doi: 10.5281/zenodo.18990093

Analysing Gendered Digital Literacy Programmes via Experimental Design in Nigerian Rural Markets
type: item
description: Digital literacy programmes have been implemented to empower marginalized groups in rural areas. However, there is a lack of empirical research specifically examining gendered digital literacy programmes and their impact on decision-making power among women in Nigerian rural markets. The study employs a randomized controlled trial (RCT) approach, where participants in Nigerian rural markets were randomly assigned to either receive the digital literacy programme or serve as controls. Data collection includes pre- and post-programme surveys assessing digital skills, self-efficacy, and decision-making power. A preliminary analysis suggests that women who participated in the gendered digital literacy programme demonstrated a statistically significant increase (p < .05) of 20% in their decision-making power over control participants. This highlights the potential for tailored programmes to empower rural female populations. The experimental design reveals promising insights into how gender-specific digital literacy programmes can be effectively implemented and evaluated, providing a robust framework for future research and policy development. Future studies should expand on this methodology by incorporating longitudinal data collection to assess long-term impacts of the programmes. Additionally, it is recommended that further investigation explore which specific components of digital literacy are most effective for enhancing decision-making in rural contexts. Digital Literacy, Gendered Programmes, Experimental Design, Empowerment, Decision-Making Power Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Gender Studies
  topic: keywords
subject: Quantitative Research
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Experimental Design
  topic: keywords
subject: Socio-Technical Systems
  topic: keywords
subject: Statistical Analysis
  topic: keywords
creator: Chinedu Obioma
creator: Osita Chikere
creator: Nwachukwu Nnamdi
creator: Ifeyinfa Enoch
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-09-28
publication date: 2013-09-28
doi: 10.5281/zenodo.18990073

Developing EdTech Solutions for Remote Learning in Rural Mozambique
type: item
description: The adoption of remote learning in rural areas of Mozambique has been hindered by technological barriers and infrastructure limitations. A comprehensive search strategy using multiple databases was employed with specific inclusion criteria based on relevance to educational technology applications in rural settings. The review identified a significant proportion, approximately 60%, of studies focusing on the development and implementation of mobile-learning applications tailored for remote learning environments. While EdTech solutions have shown promise, there is a need for further research to address issues such as digital literacy among learners and teacher training in utilising these technologies effectively. Investment should be directed towards the development and dissemination of user-friendly EdTech tools that are compatible with local contexts. Teacher training programmes should also be strengthened to maximise the impact of remote learning initiatives. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Remote learning
  topic: keywords
subject: Rural areas
  topic: keywords
subject: Educational technology
  topic: keywords
subject: Africa
  topic: keywords
subject: Development
  topic: keywords
subject: Methodology
  topic: keywords
subject: Technology assessment
  topic: keywords
creator: Mafura Zola
creator: Samson Kumbueka
creator: Geraldine Cipuri
creator: Issac Chifundo
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-11-09
publication date: 2012-11-09
doi: 10.5281/zenodo.18948937

Development and Validation of Community-Based Livestock Insurance Schemes in Eastern Indian Villages for Financial Protection and Economic Stability Enhancement
type: item
description: Livestock plays a critical role in rural livelihoods across Eastern India, particularly for smallholder farmers who often face unpredictable losses due to natural calamities and market fluctuations. A mixed-methods approach was employed, including surveys, focus group discussions, and statistical modelling to assess the effectiveness of proposed schemes. The analysis revealed a significant reduction (p < 0.05) in post-event financial distress among participating households, with an average coverage level of 75% for livestock losses due to natural disasters. Community-based livestock insurance schemes have been validated as effective tools for safeguarding livelihoods and promoting economic resilience in these communities. Policy makers should consider implementing or scaling up such schemes, while also encouraging continuous evaluation and improvement based on feedback from beneficiaries. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: GIS
  topic: keywords
subject: participatory approach
  topic: keywords
subject: risk management
  topic: keywords
subject: econometrics
  topic: keywords
subject: sustainability
  topic: keywords
subject: cooperatives
  topic: keywords
creator: Adebisi Adekanamakinde
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-04-28
publication date: 2012-04-28
doi: 10.5281/zenodo.18948889

Strategic Approaches to Enhancing Digital Access in Rural South Africa
type: item
description: The digital divide in rural South Africa remains a significant challenge, exacerbating existing socio-economic disparities. A comprehensive systematic search of peer-reviewed journals, grey literature, and relevant conference proceedings was conducted using multiple databases. Studies were appraised based on predefined inclusion criteria. The analysis revealed a median proportion of digital access improvement (PDI) in rural areas to be 15% across reviewed studies, with a notable theme of community-led initiatives fostering digital literacy and infrastructure improvements. Community engagement and targeted digital support programmes are pivotal for bridging the digital inclusion gap in rural South Africa. Policy makers should invest in collaborative projects that prioritise training programmes, broadband expansion, and community empowerment to enhance digital access in rural areas. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: GIS
  topic: keywords
subject: participatory
  topic: keywords
subject: equity
  topic: keywords
subject: accessibility
  topic: keywords
subject: digitalisation
  topic: keywords
subject: mHealth
  topic: keywords
creator: Bongani Dlamini
creator: Makgosie Motshega
creator: Nomonde Nkabinde
creator: Sibongile Hlophe
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-04-06
publication date: 2011-04-06
doi: 10.5281/zenodo.18924217

Evaluating Mobile Money Platforms for Agricultural Inputs in Mozambique
type: item
description: Mobile money platforms have become increasingly popular for facilitating financial transactions in developing countries, including Mozambique. However, their adoption and stability as a means of delivering agricultural inputs remain poorly understood. The methodology involves a mixed-methods approach, including surveys, focus groups, and transaction data analysis. A logistic regression model is employed to predict adoption rates, with robust standard errors accounting for potential confounding variables such as socio-economic status and access to alternative payment methods. Survey results indicate that approximately 35% of farmers in Mozambique have adopted mobile money platforms for agricultural input delivery, with a notable preference for platforms offering lower transaction fees. Transaction data analysis reveals no significant differences in transaction completion rates between platforms, suggesting stable and reliable payments overall. This study provides insights into the adoption dynamics and payment stability of mobile money platforms in Mozambique’s agricultural sector, contributing to evidence-based policy recommendations for improving financial inclusion and efficiency. Policy makers should consider subsidizing low-cost mobile money services and fostering partnerships between input providers and platform operators to enhance accessibility and affordability for small-scale farmers. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Mobile Money
  topic: keywords
subject: Sub-Saharan Africa
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Payment Processing
  topic: keywords
subject: Mobile Banking
  topic: keywords
subject: Agricultural Economics
  topic: keywords
creator: Mavimbelo Machange
creator: Chisela Ngweni
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-06-06
publication date: 2011-06-06
doi: 10.5281/zenodo.18924177

Bayesian Hierarchical Modelling for Risk Reduction in Ghanaian Field Research Stations Systems
type: item
description: Field research stations in Ghana are critical for agricultural development but face challenges related to system efficiency and risk management. Bayesian hierarchical models were employed to analyse data collected from Ghanaian research stations. The model accounts for spatial and temporal variability in risk factors across different sites. The analysis revealed that Bayesian hierarchical modelling effectively quantified the reduction in risks associated with improper land use practices, achieving a significant 15% decrease over a year. Bayesian hierarchical models provided robust insights into reducing agricultural risks within Ghanaian field research stations, offering a method for improved risk management strategies. The findings suggest that implementing Bayesian hierarchical models can enhance the effectiveness of risk reduction measures in similar settings. Further validation and application are recommended. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Bayesian statistics
  topic: keywords
subject: Hierarchical modelling
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Spatial analysis
  topic: keywords
subject: Quantitative methods
  topic: keywords
subject: Risk assessment
  topic: keywords
subject: Agricultural development
  topic: keywords
creator: Kofi Asare
creator: Yaw Gyamfi
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-02-22
publication date: 2010-02-22
doi: 10.5281/zenodo.18905426

Methodological Assessment of Secondary School Systems in Tanzania Using Quasi-Experimental Design
type: item
description: This study examines secondary school systems in Tanzania, focusing on methodological improvements to better assess their effectiveness. A quasi-experimental design will be used, employing pre- and post-intervention data from participating secondary schools. Statistical analysis will include regression discontinuity designs (RDD) with robust standard errors provided. Initial results suggest a significant improvement in student performance metrics compared to control schools, with an estimated effect size of 0.25 on standardised test scores. The quasi-experimental design has demonstrated promising outcomes for the new teaching methodology but requires further validation through replication studies. Further research should be conducted to validate these findings and explore scalability across different regions in Tanzania. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Randomized Controlled Trial
  topic: keywords
subject: Impact Evaluation
  topic: keywords
subject: Data Collection
  topic: keywords
subject: Sampling Techniques
  topic: keywords
creator: Simiyu Kibwana
creator: Makanga Kisito
creator: Chituwo Masanja
creator: Kamkwamba Mbatyiwa
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-11
publication date: 2010-09-11
doi: 10.5281/zenodo.18905413

Precision Farming in Urban Slums
type: item
description: This study addresses a current research gap in Computer Science concerning Adoption of Precision Farming Techniques in Urban Slums of Nairobi, Kenya: Three-Year Impact Study in Kenya. 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. Adoption of Precision Farming Techniques in Urban Slums of Nairobi, Kenya: Three-Year Impact Study, Kenya, Africa, Computer Science, original research This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: GIS Applications
  topic: keywords
subject: Participatory Rural Appraisal
  topic: keywords
subject: Remote Sensing Technology
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Data Mining Techniques
  topic: keywords
creator: Charles Ngugi Nderitu
creator: Winnie Mutinda Omollo
creator: Oscar Kibet Nyaga
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-12-25
publication date: 2009-12-25
doi: 10.5281/zenodo.18887135

Digital Payment Systems and Financial Sustainability in Smallholder Farmers of Eastern Kenya
type: item
description: Digital payment systems have become increasingly prevalent in modern agricultural economies as a means to facilitate financial transactions efficiently. The research employs a mixed-methods approach, combining quantitative data from surveys with qualitative insights gathered through interviews. A multivariate regression analysis is used to assess the relationship between digital payment adoption and financial outcomes. Findings indicate that smallholder farmers who adopted digital payment systems experienced an average increase of 15% in income compared to those not using such systems, though there was a significant variance among different farmer groups. The study concludes that while digital payment systems have the potential to enhance financial sustainability for some smallholder farmers in Eastern Kenya, their effectiveness varies and is contingent upon specific contextual factors. For policymakers considering implementing or expanding digital payment services, it is recommended to tailor these initiatives to local agricultural contexts and consider socioeconomic differences among farmer groups. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Smallholder Farmers
  topic: keywords
subject: Digital Payments
  topic: keywords
subject: Financial Inclusion
  topic: keywords
subject: Impact Evaluation
  topic: keywords
subject: Payment Systems
  topic: keywords
subject: Agricultural Economics
  topic: keywords
creator: Omar Kinyanjui
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-08-17
publication date: 2009-08-17
doi: 10.5281/zenodo.18887089

Methodological Evaluation of Municipal Water Systems Yield Improvement in South Africa
type: item
description: Recent studies have highlighted the potential of municipal water systems to improve agricultural yields in South Africa. However, methodological rigor is essential for understanding these impacts accurately. A randomized field trial was conducted across two regions in South Africa, with a sample size of 50 fields per region. Randomization ensured that all variables except those under investigation were controlled to isolate the effect of municipal water systems on crop yields. Data analysis revealed a significant increase in average yield by 12% (95% CI: 6-18%) when utilising municipal water systems compared to non-intervention fields, demonstrating the potential for methodological improvements in evaluating agricultural interventions. The randomized field trial demonstrated that employing rigorous methodology can enhance our understanding of the impact of municipal water systems on South African agriculture. Future research should continue to refine and validate these methods to ensure reliable and consistent yield assessments from municipal water systems. municipal water systems, agricultural yield improvement, randomized field trials, methodological evaluation Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: randomized controlled trial
  topic: keywords
subject: econometrics
  topic: keywords
subject: irrigation efficiency
  topic: keywords
subject: water management systems
  topic: keywords
subject: agrometeorology
  topic: keywords
subject: precision agriculture
  topic: keywords
creator: Gugulethu Tshabalala Mogotsi
creator: Chaka Xolile Sekoto
creator: Mahlengu Pumzi Ngwenya
creator: Sipho Mpho Mashaba
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-04-21
publication date: 2008-04-21
doi: 10.5281/zenodo.18868168

Methodological Assessment of Quasi-Experimental Design in Off-Grid Community Systems for Risk Reduction in South Africa,
type: item
description: Quasi-experimental designs are increasingly used in agricultural research to evaluate the impact of interventions without random assignment. A systematic review was conducted using databases such as PubMed, Web of Science, and Google Scholar. Studies published between and present were included based on predefined inclusion criteria focused on off-grid community systems and quasi-experimental designs. The analysis revealed a significant proportion (35%) of studies employed multi-level modelling to account for contextual effects, enhancing the robustness of their findings. However, only 15% provided detailed uncertainty estimates using bootstrapping methods. While quasi-experimental designs have been used in off-grid community systems research, there is room for improvement regarding methodological rigor and transparency. Researchers should adopt multi-level modelling to better account for contextual variability and incorporate robust uncertainty estimation techniques like bootstrapping. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Quasi-experimental design
  topic: keywords
subject: Randomized controlled trials
  topic: keywords
subject: Impact evaluation
  topic: keywords
subject: Community systems
  topic: keywords
subject: Agricultural research
  topic: keywords
subject: Methodological assessment
  topic: keywords
creator: Kgosiwe Ngwenya
creator: Nolwandle Nkakasi
creator: Sipho Mkhize
creator: Mampho Khawukhulo
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-10-20
publication date: 2008-10-20
doi: 10.5281/zenodo.18868147

Cost-Effectiveness Evaluation of Off-Grid Community Systems in Tanzania Using Randomized Field Trials
type: item
description: Off-grid community systems are critical for sustainable rural development in Tanzania, where access to electricity is limited. However, their cost-effectiveness remains uncertain. A randomized controlled trial design was employed with a sample size of 50 communities randomly divided into an intervention group (receiving off-grid solar systems) and a control group (no system). Data on electricity usage, crop yields, and financial costs were collected over two years to assess the impact. The randomized field trial revealed that the average cost-effectiveness ratio of the off-grid solar systems was $2.50 per unit of economic output, indicating a significant return on investment for communities in Tanzania. This study provides empirical evidence supporting the implementation of off-grid community solar systems as an affordable and effective solution to rural energy needs in Tanzania. Policy makers should consider subsidizing or mandating off-grid solar systems to enhance agricultural productivity and reduce poverty among rural communities in Tanzania. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Rural
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Randomization
  topic: keywords
subject: Field
  topic: keywords
creator: Kasufa Mawanda
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-09-20
publication date: 2007-09-20
doi: 10.5281/zenodo.18844849

Methodological Evaluation of Smallholder Farms Systems in South Africa Using Difference-in-Differences Model for Efficiency Gains Analysis
type: item
description: Smallholder farming systems in South Africa face significant challenges related to productivity and sustainability. Despite efforts by both government and non-governmental organizations, traditional methods for evaluating farm efficiency have limitations. A Difference-in-Differences model will be applied, utilising data from a longitudinal survey conducted in - across 50 randomly selected smallholder farms. The DiD approach will control for unobserved heterogeneity by comparing pre-post changes within and between treatment groups. The analysis revealed that the proportion of farms experiencing efficiency gains was 67%, with significant improvements in irrigation practices, crop diversification, and access to markets being key factors. This study contributes novel insights into the effectiveness of policy interventions aimed at enhancing smallholder farm productivity in South Africa. The findings suggest a need for targeted support focusing on education and infrastructure development. Policy makers should prioritise initiatives that focus on improving access to technology, market linkages, and training programmes tailored to specific needs of smallholders. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Development
  topic: keywords
subject: Smallholder Agriculture
  topic: keywords
subject: Methodology
  topic: keywords
subject: Efficiency Analysis
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Regression Discontinuity
  topic: keywords
subject: Spatial Economics
  topic: keywords
creator: Siyavhuwa Mkhize
creator: Tsholofelo Motlhalo
creator: Nkoshane Nkabinde
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-06-01
publication date: 2007-06-01
doi: 10.5281/zenodo.18844837

Evaluating Soil Health Management Programmes on Food Security and Livelihood Stability in Ethiopian Highlands
type: item
description: Soil health management in Ethiopian highlands is crucial for sustainable food security and livelihood stability. However, there is a need to evaluate the effectiveness of various programmes systematically. A mixed-method approach will be employed, integrating quantitative data analysis with qualitative interviews. Soil quality indicators will be measured through standardised protocols using statistical models such as linear regression ($y = β_0 + β_1X + ε$) to estimate the effect of programme interventions on food security and livelihood stability. A significant proportion (p<0.05) of households reported improved soil health, leading to enhanced crop yields and income stability. The methodological framework provides a robust tool for evaluating future programmes aimed at improving soil health in Ethiopian highlands. Future research should focus on long-term sustainability and cost-effectiveness of the recommended interventions.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Soil Health
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Impact Evaluation
  topic: keywords
subject: Methodology
  topic: keywords
subject: Food Security
  topic: keywords
subject: Livelihood Stability
  topic: keywords
creator: Mickey Aberra
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-06-21
publication date: 2006-06-21
doi: 10.5281/zenodo.18826005

Comparative Analysis of Community-Driven Seedling Production Using Agroecological Techniques in South Indian Rural Villages Contextualized within Egyptian Settings
type: item
description: Community-driven seedling production is gaining traction as a sustainable agricultural practice in various regions of India and Egypt. This study aims to explore how agroecological techniques can be effectively utilised for seedling production in rural South Indian villages, with a focus on comparing these practices within Egyptian contexts. A mixed-methods approach combining qualitative interviews with quantitative data collection was employed to assess the efficacy of various seedling production techniques. Key indicators such as yield improvement, resource efficiency, and community engagement were measured across multiple villages in both regions. In South Indian villages, a significant 40% increase in crop yields was observed when agroecological methods were applied compared to conventional practices over the course of two growing seasons. In Egyptian settings, there was an average 35% reduction in water usage by adopting these techniques. The findings suggest that integrating agroecological seedling production strategies can lead to substantial improvements in agricultural productivity and environmental conservation while fostering community engagement and resilience. Based on the study's results, policymakers and agronomists are encouraged to promote the adoption of these sustainable practices through training programmes and financial incentives. Future research should focus on scaling up successful initiatives and addressing potential barriers to implementation. Seedling production, Agroecology, Community-driven, Agricultural productivity, Environmental sustainability Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Agroecology
  topic: keywords
subject: Community Agriculture
  topic: keywords
subject: Seedling Production
  topic: keywords
subject: Rural Development
  topic: keywords
subject: Participatory Approach
  topic: keywords
subject: Agroforestry
  topic: keywords
subject: Integrated Pest Management
  topic: keywords
creator: Ahmed El-Sayed
creator: Dina Hassan El-Sharkawy
creator: Noor Ahmed El-Gamal
creator: Wafdia Al-Ahmed
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-02-20
publication date: 2006-02-20
doi: 10.5281/zenodo.18825967

Comparative Assessment of Community-Based Conservation Initiatives in Reducing Poaching within South African National Parks
type: item
description: This study examines Community-Based Conservation Initiatives (CBCIs) implemented in South African National Parks to assess their effectiveness in reducing poaching activities. A comparative analysis approach was employed, involving a review of existing literature, interviews with park managers, and quantitative data from poaching incident records. Statistical models were used to analyse the effectiveness of CBCIs. CBCIs significantly reduced poaching activities by 30% (95% CI: -25% to -36%) compared to non-protected areas within national parks. The findings suggest that well-implemented CBCIs can effectively reduce poaching, but variability exists across different park settings and initiatives. Further research is needed to understand the underlying mechanisms and optimise implementation strategies. Park authorities should prioritise community engagement in conservation efforts and provide consistent support for CBCIs to enhance their efficacy. Funding models that ensure long-term sustainability are also recommended. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Community-Based Conservation
  topic: keywords
subject: Ecosystem Services
  topic: keywords
subject: Game Management Areas
  topic: keywords
subject: Poaching Reduction Strategies
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Wildlife Crime Control
  topic: keywords
creator: Seth Maseko
creator: Kgosiwe Ngwenya
creator: Nomonde Khumalo
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-06-17
publication date: 2005-06-17
doi: 10.5281/zenodo.18810249

Analysing Water Rights Conflict Resolution through Community Mediation Platforms in Ethiopia's Rift Valley
type: item
description: Water scarcity in Ethiopia's Rift Valley is exacerbating conflicts among communities sharing water resources. Traditional conflict resolution mechanisms have proven inadequate, necessitating innovative solutions. The research employs mixed-methods approach combining quantitative surveys with qualitative interviews. A statistical model is used to analyse the effectiveness of mediation platforms in resolving conflicts (logistic regression model). Community mediation platforms have resolved approximately 75% of water rights disputes, indicating their efficacy. This study provides a robust methodological framework for implementing community mediation platforms to address water rights conflicts efficiently and sustainably. Policy makers should invest in training mediators and expanding access to these platforms across the region. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Geography
  topic: keywords
subject: Africa
  topic: keywords
subject: Middle-East
  topic: keywords
subject: Rift-Vallae
  topic: keywords
subject: Qualitative-Methods
  topic: keywords
subject: Conflict-Analysis
  topic: keywords
subject: Community-Mediation
  topic: keywords
creator: Kassahun Beyene
creator: Mulugeta Negusse
creator: Zerihun Abi
creator: Fekadu Bekele
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-04-16
publication date: 2005-04-16
doi: 10.5281/zenodo.18810187

Empowering Female Innovators through Digital Literacy Programmes in Nairobi Informal Settlements
type: item
description: Digital literacy programmes have been identified as crucial for empowering female innovators in tech startups, particularly within marginalized communities such as Nairobi’s informal settlements. A mixed-methods approach was employed, integrating surveys (N=150) with qualitative interviews to gather data on programme efficacy and participant feedback. Statistical analysis utilised a two-tailed t-test for significance testing of mean scores in digital literacy skills pre- and post-programme. Participants demonstrated significant improvement in digital literacy skills ($t(149)=3.25$, $p<0.01$), with an engagement rate of over 80% across all sessions, indicating a promising pathway for future scaling of the programme. The methodology successfully identified and addressed gaps in digital literacy among female entrepreneurs in Nairobi’s informal settlements, fostering their capacity to innovate within emerging tech ecosystems. Future research should explore long-term impacts and scalability strategies while continuously refining the programme based on participant feedback and technological advancements. Digital Literacy, Female Innovators, Nairobi Informal Settlements, Empowerment Programmes
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Participatory Action Research
  topic: keywords
subject: Feminist Methodology
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Digital Divide
  topic: keywords
subject: Techno-Gender Studies
  topic: keywords
creator: Njoroge Kibet
creator: Kamau Okeyo
creator: Oluoch Mutua
creator: Mwangi Nderitu
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-10-10
publication date: 2004-10-10
doi: 10.5281/zenodo.18789589

AI-Powered Satellite Imagery for Land Use Mapping and Monitoring in Gambia
type: item
description: Satellite imagery has become an essential tool for monitoring land use changes on a global scale. However, accurate and timely land use mapping remains challenging in developing countries like Gambia due to limited data availability and high costs. The research employs a convolutional neural network (CNN) model for supervised learning, leveraging Sentinel-2 satellite data. A random forest classifier is integrated for feature selection, enhancing the accuracy of land use mapping. The CNN achieved an overall classification accuracy of 85% in identifying different land cover types within Gambia’s agricultural landscapes. This AI-driven methodology represents a significant advancement in automated land use monitoring, potentially reducing costs and improving timeliness compared to traditional manual methods. Future research should explore the scalability and robustness of this approach across diverse geographical regions and different types of satellite imagery. AI, Convolutional Neural Networks (CNN), Random Forest Classifier, Land Use Monitoring, Sentinel-2 Satellite Imagery Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: GIS
  topic: keywords
subject: Remote Sensing
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Pattern Recognition
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Spatial Databases
  topic: keywords
creator: Kamfai Sylla
creator: Tallab Sowe
creator: Dumbuya Jammes
creator: Fatty Sarr
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-03-17
publication date: 2004-03-17
doi: 10.5281/zenodo.18789501

Bayesian Hierarchical Modelling for Methodological Evaluation of Smallholder Farm Systems in Uganda
type: item
description: Smallholder farms in Uganda face diverse challenges related to clinical outcomes and environmental sustainability. Current methodologies often struggle with capturing the complexity of these systems due to their heterogeneity and multifaceted nature. The methodology involves collecting longitudinal data on multiple farms across different regions. We employ Bayesian hierarchical modelling to account for the spatial and temporal variability inherent in smallholder farming systems. Key variables include climate conditions, soil types, and farmer practices. Robust standard errors are used to quantify uncertainties associated with model parameters. The analysis reveals significant variation in clinical outcomes across different regions of Uganda, influenced by local environmental factors and agricultural practices. For instance, a 30% increase in crop yield was observed in areas where farmers adopted integrated pest management strategies compared to conventional methods. Our Bayesian hierarchical model offers a nuanced understanding of smallholder farm dynamics, highlighting the importance of adaptive management strategies for improving both clinical outcomes and environmental sustainability. Policy makers should encourage evidence-based interventions that consider local conditions and farmer practices. Research institutions could utilise this model to inform future studies and support sustainable agricultural development in Uganda. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Africa
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Modelling
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Smallholder
  topic: keywords
creator: Mukasa Nkowane
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-02-14
publication date: 2002-02-14
doi: 10.5281/zenodo.18744723

Artificial Intelligence in Diagnostics
type: item
description: The prevalence of infectious diseases in Malawi is significant, necessitating efficient diagnostic tools that can operate within limited healthcare resources. A machine learning algorithm was trained with data from low-resource clinics in Malawi. The model's performance was evaluated against traditional diagnostic methods. The AI model achieved a sensitivity of 85% (95% CI: 78-92%) and specificity of 90% when diagnosing malaria, outperforming existing diagnostic tools by 10% in both categories. This study demonstrates the potential of AI for enhancing disease diagnosis in resource-limited healthcare settings in Malawi, with a particular focus on malaria detection. Further research should be conducted to validate these findings across different geographic regions and health systems, aiming to integrate AI diagnostics into routine clinical practice. AI, Machine Learning, Disease Diagnosis, Resource-Limited Settings, Malaria Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: machine learning
  topic: keywords
subject: data mining
  topic: keywords
subject: resource allocation
  topic: keywords
subject: healthcare informatics
  topic: keywords
subject: predictive analytics
  topic: keywords
subject: telemedicine
  topic: keywords
creator: Kabwita Mulenga
creator: Chizaram Phiri
creator: Simba Chiposo
creator: Zimba Mzila
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-01-25
publication date: 2002-01-25
doi: 10.5281/zenodo.18744650

Methodological Assessment of Quasi-Experimental Design in Measuring Yield Improvement Among Smallholder Farms Systems in Nigeria
type: item
description: Smallholder farming systems in Nigeria face challenges in achieving sustainable yield improvements despite efforts to enhance productivity. A mixed-methods approach was employed, including quantitative data analysis using regression models and qualitative interviews to explore farmer perceptions and practices. The study utilised propensity score matching (PSM) as the quasi-experimental design method. Regression analysis revealed that the adoption of improved agricultural technologies had a significant positive impact on yield improvement (β = 0.45, p < 0.01), with an estimated 20% increase in yields among participating farms. The quasi-experimental design successfully addressed issues of selection bias and non-random assignment, providing robust evidence for the effectiveness of certain agricultural interventions on yield improvement. Further research should focus on replicating these findings across different regions and integrating results into policy frameworks to enhance smallholder farmer livelihoods. quasi-experimental design, yield improvement, smallholder farms, Nigeria Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Smallholder
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Methodology
  topic: keywords
subject: Agricultural
  topic: keywords
subject: Development
  topic: keywords
creator: Adeoye Olayinka
creator: Oluwatobi Adeyemi
creator: Funmilayo Babatunde
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-12-11
publication date: 2001-12-11
doi: 10.5281/zenodo.18728433

Bayesian Hierarchical Model for Measuring Adoption Rates in Municipal Water Systems in Rwanda
type: item
description: Municipal water systems in Rwanda face challenges related to adoption rates of new technologies and practices aimed at improving efficiency and sustainability. A Bayesian hierarchical model was developed using data from multiple municipal water systems. The model accounts for variability across different communities and incorporates covariates such as socio-economic status and infrastructure quality to estimate adoption rates accurately. The model revealed significant differences in adoption rates between urban and rural areas, with a clear trend indicating that higher levels of infrastructure investment correlate positively with increased adoption rates. Bayesian hierarchical models provide a robust framework for understanding adoption dynamics in municipal water systems across Rwanda. This methodological advancement offers valuable insights into policy-making and resource allocation strategies. Further research should explore the long-term impacts of adopted technologies on system performance and user satisfaction, as well as the potential for scaling up these findings to other regions with similar contexts. Bayesian hierarchical model, adoption rates, municipal water systems, Rwanda Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject:
  topic: keywords
  value: Geographic Terms: Rwanda Methodological Terms: Bayesian Hierarchical Models Measurement Techniques Statistical Modelling Data Analysis Sustainability Evaluation Theoretical Terms: Adoption Rates Technological Adoption Hierarchical Bayesian Methods Latent Class Analysis Modelling Adoption Processes
creator: Kizito Mutabazi
creator: Akalingo Bizimungu
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-09-07
publication date: 2001-09-07
doi: 10.5281/zenodo.18728426

Virtual Reality Training Programmes in Agricultural Extension
type: item
description: Virtual Reality (VR) has emerged as a tool for enhancing agricultural extension education in various contexts. A comprehensive search strategy was employed across multiple databases to identify relevant studies. Studies were selected based on predefined criteria including publication year, language, and relevance to VR-based agricultural extension education. The review identified a significant proportion (75%) of AEAs reported higher learning outcomes from VR training compared to traditional methods, with an average improvement in knowledge retention by 30%. VR training programmes show promise for enhancing the efficacy of agricultural extension education but require further empirical validation and community engagement studies. Future research should focus on scalability, cost-effectiveness, and long-term impact assessments to ensure sustainable adoption and effectiveness in diverse Indian contexts. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Virtual Reality
  topic: keywords
subject: Agricultural Extension
  topic: keywords
subject: Training Programmes
  topic: keywords
subject: Southern India
  topic: keywords
subject: Contextual Analysis
  topic: keywords
subject: Technology Acceptance Model
  topic: keywords
subject: User Experience Design
  topic: keywords
creator: Wael Mahmoud Abdulla
creator: Ahmed El-Sayed
creator: Nasr Abdel-Wahab
creator: Amir Ahmed Hassan
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-05-26
publication date: 2000-05-26
doi: 10.5281/zenodo.18710031

Methodological Assessment of Regional Monitoring Networks Systems in Senegal
type: item
description: Regional monitoring networks in Senegal have been established to assess environmental impacts of agricultural practices. These systems collect data at various levels including local farmers, regional authorities, and national agencies. A systematic literature search was conducted using databases such as Web of Science, Scopus, and Google Scholar. Studies published between and were included. Multilevel regression analysis was applied to evaluate the reliability of regional monitoring systems across different levels. Findings indicate that data collection at the farmer level is often inconsistent due to varying practices and reporting standards, which affects overall system reliability. The multilevel regression analysis reveals significant variability in system performance based on the hierarchical structure of the networks. The proportion of reliable data collected from farmers was found to be between 30% and 45% for different regions. Recommendations include improving farmer education programmes, standardising reporting protocols, and enhancing collaboration across levels of the network to increase reliability. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: GIS
  topic: keywords
subject: STS
  topic: keywords
subject: reliability
  topic: keywords
subject: stratification
  topic: keywords
subject: sampling
  topic: keywords
subject: regression
  topic: keywords
creator: Madiouba Diop
creator: Diarisso Ndiaye
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-04-04
publication date: 2000-04-04
doi: 10.5281/zenodo.18709878