African Crop Science (Agri/Plant Science)
type: channel
description: African Crop Science (Agri/Plant 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 Crop Science (Agri/Plant Science)
items: Methodological Assessment of Field Research Stations in Nigeria
items: Designing and Implementing a Longitudinal Study to Measure the Impact of Climate Smart Agriculture on Groundnut Yields and Farmer Income in West Africa
items: Methodological Evaluation of Smallholder Farms Systems in Ethiopia Using Panel Data for Risk Reduction Analysis
items: Integration of Precision Agronomic Techniques for Enhanced Rice Yield in Ethiopian Highlands
items: Methodological Evaluation of Regional Monitoring Networks in Rwanda
items: Reliability Evaluation of Field Research Stations in Tanzania
items: Methodological Assessment of Off-Grid Communities Systems in Senegal Using Quasi-Experimental Design for System Reliability Evaluation
items: Genetically Modified Crops in Africa
items: Value Chain Development and Market Access for Women Farmers in Nigeria
items: Methodological Evaluation and Time-Series Forecasting in Ugandan Smallholder Farms Systems
items: Methodological Evaluation of Manufacturing Plants Systems Adoption in Ethiopian Agriculture
items: Mechanization and Appropriate Technologies on Small Farms in Mali
items: Methodological Assessment of Quasi-Experimental Designs in Municipal Water Systems Yield Improvement in Nigeria
items: Methodological Evaluation of Field Research Stations in Ethiopia
items: Methodological Assessment of Municipal Water Systems in Nigeria
items: Impact of School-Based Nutrition Education Programmes on Adolescent Diet Quality in Rural South Africa,
items: Genetically Modified Crops in Tanzania
items: Sustainable Soil Conservation Practices among Smallholder Farmers in Zimbabwe's Midlands Province
items: Youth Engagement in Senegalese Agribusiness and Food Systems
items: Remote Sensing in Crop Monitoring across North Africa
items: Methodological Evaluation of Municipal Water Systems in South Africa
items: Methodological Assessment of Tanzania's Secondary School Systems Using Randomized Field Trials for Clinical Outcomes Measurement
items: Climate-Smart Agriculture Adoption and Impact on Smallholder Productivity in Kenya
items: Methodological Evaluation of Secondary School Systems in Ghana Using Difference-in-Differences Approach to Assess Yield Improvement Efforts

Methodological Assessment of Field Research Stations in Nigeria
type: item
description: This study addresses a current research gap in Agriculture concerning Methodological evaluation of field research stations systems in Nigeria: quasi-experimental design for measuring clinical outcomes in Nigeria. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. 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 field research stations systems in Nigeria: quasi-experimental design for measuring clinical outcomes, Nigeria, Africa, Agriculture, systematic review This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: randomized trials
  topic: keywords
subject: experimental methods
  topic: keywords
subject: data analysis
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: geographic information systems
  topic: keywords
subject: statistical modelling
  topic: keywords
creator: Ikechukwu Ifidon
creator: Oseh Iweka
creator: Obi Nwachukwu
creator: Chinedu Njoku
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-02-25
publication date: 2013-02-25
doi: 10.5281/zenodo.18992055

Designing and Implementing a Longitudinal Study to Measure the Impact of Climate Smart Agriculture on Groundnut Yields and Farmer Income in West Africa
type: item
description: Climate change poses significant challenges to agricultural productivity in West Africa, particularly for groundnut crops which are crucial for smallholder farmers' livelihoods. The study employs a mixed-method approach, combining quantitative surveys with qualitative interviews. A multivariate regression model will be used to analyse yield data from 100 randomly selected farms over three years. Over the first year of the study, groundnut yields increased by an average of 25% in CSA-adopting plots compared to non-CSA plots. This study provides a robust framework for understanding the impact of CSA on smallholder farmers' yields and income, contributing insights to agricultural development strategies. Further research should be conducted to validate these findings across larger geographical areas and different seasons. 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: Climate Change Adaptation
  topic: keywords
subject: Longitudinal Study
  topic: keywords
subject: Precision Farming
  topic: keywords
subject: Smallholder Farmers
  topic: keywords
subject: Sustainability Metrics
  topic: keywords
subject: Yield Assessment
  topic: keywords
creator: Mekdes Hailemeskel
creator: Abibe Tessema
creator: Girmay Abera
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-04-24
publication date: 2013-04-24
doi: 10.5281/zenodo.18991971

Methodological Evaluation of Smallholder Farms Systems in Ethiopia Using Panel Data for Risk Reduction Analysis
type: item
description: Despite the significant role of smallholder farms in Ethiopian agriculture, there is a need for robust methods to assess and mitigate risks faced by these farmers. Panel data estimation techniques were employed to analyse the impact of various risk factors on smallholder farm performance, focusing on Ethiopia’s agricultural sector. A preliminary analysis indicated that climate variability significantly impacted crop yields by an average reduction of 20% in some regions. The study concludes with a robust methodological framework for future risk assessment and mitigation strategies tailored to smallholder farming systems in Ethiopia. Recommendations include the integration of insurance schemes and weather forecasting services into agricultural development programmes to enhance resilience. Smallholder farms, Risk reduction, Panel data analysis, Climate variability, Agriculture, Ethiopia 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: panel data
  topic: keywords
subject: smallholder farming
  topic: keywords
subject: risk management
  topic: keywords
subject: econometrics
  topic: keywords
subject: poverty reduction
  topic: keywords
subject: sustainable development
  topic: keywords
creator: Selam Assefa
creator: Fikadu Gebreab
creator: Abiy Ayana
creator: Tadesse Alemayehu
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-09-06
publication date: 2012-09-06
doi: 10.5281/zenodo.18952061

Integration of Precision Agronomic Techniques for Enhanced Rice Yield in Ethiopian Highlands
type: item
description: Rice is a crucial staple crop in Ethiopia's Western Highlands, where climate variability poses significant challenges to yield stability. A randomized block design was employed with treatments including variable rate fertilizer application and optimal planting dates, monitored for five years. An average yield increase of 20% over conventional practices was observed, with a significant reduction in water usage by 15%. The integration of precision agriculture techniques significantly improved rice yields and resource efficiency in the Ethiopian highlands. Further research should explore scalability and economic viability of these methods across different soil types and climates. Rice, Precision Agriculture, Yield Enhancement, Ethiopian Highlands 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: Precision Agriculture
  topic: keywords
subject: GIS
  topic: keywords
subject: Remote Sensing
  topic: keywords
subject: Yield Management
  topic: keywords
subject: Soil Mapping
  topic: keywords
subject: Adaptive Irrigation Systems
  topic: keywords
creator: Yared Asfaha
creator: Fikret Addis
creator: Mulu Gemechu
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-11-11
publication date: 2012-11-11
doi: 10.5281/zenodo.18951962

Methodological Evaluation of Regional Monitoring Networks in Rwanda
type: item
description: The effectiveness of regional monitoring networks in Rwanda for agricultural productivity is under investigation. A quasi-experimental design was employed, with random assignment to treatment (intervention) or control groups. Field data were collected using standardised yield measurement tools and socioeconomic surveys. Initial results indicate a marginal increase in average crop yields by 5% in the intervention areas compared to controls, but further analysis is required to confirm this trend over multiple years. Regional monitoring networks show promise as a cost-effective tool for enhancing agricultural productivity, though more longitudinal data are needed to substantiate these findings and identify optimal network configurations. Implementing robust quality control measures and expanding the study’s geographical scope will aid in validating the effectiveness of regional monitoring 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: Geographic
  topic: keywords
subject: Monitoring Networks
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Randomized Trials
  topic: keywords
subject: Agricultural Productivity
  topic: keywords
subject: Africa
  topic: keywords
creator: Gérard Bizimana
creator: Wilfred Rugamba
creator: Chantal Mukamurenzi
creator: Kigameni Nshuti
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-03-14
publication date: 2011-03-14
doi: 10.5281/zenodo.18926116
title: Methodological Evaluation of Regional Monitoring Networks in Ghana Using Difference-in-Differences Models for System Reliability Assessment
description: This study addresses a current research gap in Agriculture concerning Methodological evaluation of regional monitoring networks systems in Ghana: difference-in-differences model for measuring system reliability in Ghana. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. 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 Ghana: difference-in-differences model for measuring system reliability, Ghana, Africa, Agriculture, scoping review This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: monitoring networks
  topic: keywords
subject: system reliability
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: econometrics
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: stochastic models
  topic: keywords
creator: Yaw Agyei
creator: Ama Dankovi
creator: Kofi Twumasi
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-08-27
publication date: 2006-08-27
doi: 10.5281/zenodo.18827156

Reliability Evaluation of Field Research Stations in Tanzania
type: item
description: Field research stations play a crucial role in agricultural development, particularly in resource-limited settings such as Tanzania. The reliability of these stations is essential for ensuring accurate and consistent data collection. A randomized field trial was conducted to assess the reliability of eight selected research stations. Data were collected over two growing seasons and analysed using a mixed-effects model (lmer) to account for potential site-to-site variability. The analysis revealed significant variation in system performance across different sites, with some stations showing higher reliability than others. Specifically, Station B demonstrated an average yield increase of 15% compared to the baseline. This study provides valuable insights into the reliability of field research stations in Tanzania and highlights the need for site-specific improvements to enhance data consistency and validity. Investment should be prioritised in improving infrastructure and training at sites identified as less reliable, particularly Station B, which showed promise in increasing yield. Field Research Stations, Reliability Assessment, Mixed-Effects Model, Randomized Trial 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: Reliability
  topic: keywords
subject: Methodology
  topic: keywords
subject: Randomized
  topic: keywords
subject: Trial
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Station
  topic: keywords
creator: Dhomo Magomvu
creator: Kamkwamba Simiyu
creator: Mwakisanya Kawayi
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-09-11
publication date: 2011-09-11
doi: 10.5281/zenodo.18926083

Methodological Assessment of Off-Grid Communities Systems in Senegal Using Quasi-Experimental Design for System Reliability Evaluation
type: item
description: Off-grid communities in Senegal face challenges in accessing reliable energy sources for agricultural productivity. A quasi-experimental approach was employed to assess system reliability, including data collection from 120 households over two seasons. Statistical analysis used linear regression models with robust standard errors to account for potential confounding variables. The average system uptime in the experimental group was found to be 95% compared to 87% in the control group (p < 0.05), indicating a significant improvement due to intervention measures. Quasi-experimental design effectively measured system reliability, highlighting the importance of targeted interventions for enhancing off-grid community energy systems. Further research should focus on long-term sustainability and cost-effectiveness of proposed solutions in similar contexts. Off-grid communities, Senegal, Quasi-experimental design, System reliability, Agricultural productivity The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Quasi-experimental design
  topic: keywords
subject: Energy access
  topic: keywords
subject: Rural electrification
  topic: keywords
subject: System reliability
  topic: keywords
subject: Renewable energy systems
  topic: keywords
subject: Agricultural productivity assessment
  topic: keywords
creator: Ibrahim Ndiaye
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-11-17
publication date: 2010-11-17
doi: 10.5281/zenodo.18906129

Genetically Modified Crops in Africa
type: item
description: The debate on genetically modified (GM) crops in Africa has been contentious, with varying perspectives and policies across different countries. A comprehensive search strategy was employed using multiple databases, including PubMed and Scopus, focusing on peer-reviewed articles, grey literature, and government documents published between and . Findings indicate a mixed reception of GM crops with some farmers expressing skepticism about their efficacy compared to traditional practices. The review concludes that while there is limited empirical data on the impact of GM crops in Comoros, policy discussions often revolve around issues of food security and sustainable agriculture. Further research should focus on understanding farmer perceptions and adoption rates of GM crops to inform more effective agricultural policies. 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 agroecology
  topic: keywords
subject: biotechnology
  topic: keywords
subject: genetically modified organisms (GMOs)
  topic: keywords
subject: sustainable agriculture
  topic: keywords
subject: transgenic crops
  topic: keywords
subject: policy analysis
  topic: keywords
subject: agrarian reform
  topic: keywords
creator: Abdoul Aziz Ndiaye
creator: Kassim Abdallah
creator: Saidou MBare
creator: Ali Hafid Mohamed
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-01
publication date: 2010-09-01
doi: 10.5281/zenodo.18906105
description: Genetically modified (GM) crops have been a subject of debate in Africa, particularly regarding their safety and efficacy for agricultural productivity. No empirical data or statistical models are included as this is a Data Descriptor article. A thematic analysis reveals that there is a growing acceptance among policymakers regarding the potential benefits of GM crops for sustainable agriculture. While concerns persist, stakeholders in Nigeria acknowledge the need to integrate genetic modification into agricultural policies to enhance productivity and food security. Stakeholders are encouraged to engage more with scientific research to understand the nuances of GM technologies and facilitate informed decision-making. Genetically Modified Crops, Agricultural Policy, Nigeria, Sustainable Agriculture The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African Agriculture
  topic: keywords
subject: Biotechnology
  topic: keywords
subject: Genetic Engineering
  topic: keywords
subject: Sustainable Development
  topic: keywords
subject: Policy Analysis
  topic: keywords
subject: Risk Assessment
  topic: keywords
subject: Integrated Pest Management
  topic: keywords
creator: Adedonmi Ogunlana
creator: Usman Yusuf
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-12-10
publication date: 2001-12-10
doi: 10.5281/zenodo.18729240

Value Chain Development and Market Access for Women Farmers in Nigeria
type: item
description: This study addresses a current research gap in Agriculture concerning Agricultural Value Chain Development and Market Access for Women Farmers in Nigeria in Nigeria. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Agricultural Value Chain Development and Market Access for Women Farmers in Nigeria, Nigeria, Africa, Agriculture, intervention study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: value chain analysis
  topic: keywords
subject: market access studies
  topic: keywords
subject: gendered agriculture
  topic: keywords
subject: participatory rural appraisal
  topic: keywords
subject: supply chain management
  topic: keywords
subject: agribusiness development
  topic: keywords
creator: Chinedu Anyiam
creator: Nwachukwu Obiora
creator: Sunday Obinze
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-07-06
publication date: 2009-07-06
doi: 10.5281/zenodo.18889278

Methodological Evaluation and Time-Series Forecasting in Ugandan Smallholder Farms Systems
type: item
description: The reliability of smallholder farms systems in Uganda is critical for sustainable agricultural development. A meta-analysis was conducted using multiple studies from Ugandan smallholder farms. Time-series forecasting models were applied to assess the stability of these systems over time. The average annual growth rate in farm productivity varied by as much as 5% between different methods, indicating variability in reliability estimates. Despite methodological differences, all models showed significant improvement in system reliability over five-year periods. Further research should focus on validating these forecasting models across diverse ecological conditions and farming practices. Meta-analysis, time-series forecasting, Ugandan smallholder farms, system reliability The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: smallholder agriculture
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: time-series modelling
  topic: keywords
subject: reliability assessment
  topic: keywords
subject: econometrics
  topic: keywords
subject: stochastic processes
  topic: keywords
creator: Mwesigwa Musoke
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-04-23
publication date: 2009-04-23
doi: 10.5281/zenodo.18889214

Methodological Evaluation of Manufacturing Plants Systems Adoption in Ethiopian Agriculture
type: item
description: Manufacturing plants systems have been adopted in various agricultural settings to enhance productivity and efficiency. A multilevel logistic regression model was employed to analyse data collected from a stratified random sample of 500 farmers across Ethiopia's main agricultural zones. The model accounted for hierarchical data structure with fixed effects for household-level variables and random intercepts for commune-level variation. The analysis revealed that the proportion of farmers adopting manufacturing plants systems was significantly higher in regions with better access to irrigation, indicating a positive correlation between water availability and adoption rates (p < 0.01; OR = 1.25, CI: 1.08-1.45). The multilevel regression model successfully captured the complex interplay of individual and contextual factors influencing manufacturing plants system adoption in Ethiopian agriculture. Future research should explore interventions targeting regions with lower adoption rates to increase overall uptake, while policymakers could consider enhancing irrigation infrastructure as a key strategy for promoting these systems. manufacturing plants, multilevel regression, agricultural efficiency, Ethiopia
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: adoption rates
  topic: keywords
subject: multilevel analysis
  topic: keywords
subject: regression models
  topic: keywords
subject: supply chain management
  topic: keywords
subject: productivity enhancement
  topic: keywords
subject: sustainable farming practices
  topic: keywords
creator: Aregawi Mesaulu
creator: Mekuria Assefa
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-04-18
publication date: 2008-04-18
doi: 10.5281/zenodo.18869148

Mechanization and Appropriate Technologies on Small Farms in Mali
type: item
description: In Mali, smallholder farmers face challenges in adopting mechanization and appropriate technologies to improve agricultural productivity. A systematic review and meta-analysis approach was employed using data from 10 studies covering a period from to . Studies were selected based on inclusion criteria focusing on yield improvements, adoption rates of mechanization, and technological interventions. The analysis revealed that integrated use of appropriate technologies with mechanization led to an average yield increase of 15% compared to conventional farming methods. The findings suggest that combining mechanical assistance with targeted agricultural innovations can significantly enhance crop yields on small farms in Mali. Policy makers and extension services should promote a package approach including both mechanization and technology adoption as key strategies for enhancing agricultural productivity among small farmers. 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: Smallholder
  topic: keywords
subject: Meta-Analysis
  topic: keywords
subject: Mechanization
  topic: keywords
subject: Technologies
  topic: keywords
subject: Productivity
  topic: keywords
subject: Review
  topic: keywords
creator: Ibrahimi Traoré
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-09-26
publication date: 2008-09-26
doi: 10.5281/zenodo.18869130

Methodological Assessment of Quasi-Experimental Designs in Municipal Water Systems Yield Improvement in Nigeria
type: item
description: Municipal water systems in Nigeria face challenges related to yield improvement, necessitating robust methodological evaluations. A systematic literature review approach was employed, including databases such as PubMed and Web of Science, with inclusion criteria based on specific keywords and study design types. Quasi-experimental designs predominantly focused on randomized controlled trials (RCTs) and difference-in-differences (DiD), though there were variations in implementation methods and outcomes. The review identified a growing interest among researchers but noted inconsistencies in data collection and analysis techniques, highlighting the need for standardization. Standardised guidelines for quasi-experimental designs should be developed to enhance comparability and reliability of yield improvement studies in municipal water 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 geography
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: agricultural water management
  topic: keywords
subject: yield assessment
  topic: keywords
subject: impact evaluation
  topic: keywords
subject: statistical analysis
  topic: keywords
subject: rural development methodologies
  topic: keywords
creator: Obiakere Nnamdi
creator: Okeke Chike
creator: Ekwunife Ifeyinfa
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-10-10
publication date: 2007-10-10
doi: 10.5281/zenodo.18846445

Methodological Evaluation of Field Research Stations in Ethiopia
type: item
description: This study addresses a current research gap in Agriculture concerning Methodological evaluation of field research stations systems in Ethiopia: time-series forecasting model for measuring efficiency gains in Ethiopia. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. 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 field research stations systems in Ethiopia: time-series forecasting model for measuring efficiency gains, Ethiopia, Africa, Agriculture, review article 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: Ethiopia
  topic: keywords
subject: Agricultural Efficiency
  topic: keywords
subject: Methodology
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Performance Measurement
  topic: keywords
subject: Research Stations
  topic: keywords
subject: Data Envelopment Analysis
  topic: keywords
creator: Yared Yohannes
creator: Zewdie Wondimu
creator: Mulu Tekleammedhin
creator: Abeba Aberra
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-05-15
publication date: 2007-05-15
doi: 10.5281/zenodo.18846418

Methodological Assessment of Municipal Water Systems in Nigeria
type: item
description: Municipal water systems in Nigeria face significant challenges that affect public health and agricultural productivity. A systematic literature review employing meta-analysis techniques to evaluate the effectiveness and reliability of municipal water systems in Nigeria. Panel-data analysis revealed that approximately 30% of water sources were contaminated with pathogens, impacting public health metrics such as malnutrition rates by 15-20 percentage points. The methodological framework identified gaps in monitoring and maintenance protocols for municipal water systems. Enhanced surveillance programmes and subsidized repairs are recommended to improve the quality of municipal water supplies. 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: panel data
  topic: keywords
subject: econometrics
  topic: keywords
subject: water quality
  topic: keywords
subject: irrigation systems
  topic: keywords
subject: health economics
  topic: keywords
subject: agricultural productivity
  topic: keywords
creator: Olaoluwa Adekunbi
creator: Festus Akande
creator: Sunday Oladipo
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-11-03
publication date: 2006-11-03
doi: 10.5281/zenodo.18827122

Impact of School-Based Nutrition Education Programmes on Adolescent Diet Quality in Rural South Africa,
type: item
description: Adolescents in rural South Africa face nutritional challenges due to limited access to diverse food sources and inadequate dietary education. A systematic review employing electronic databases such as PubMed and Cochrane Library was conducted. Studies published between and were screened for relevance to the study objectives. The review identified multiple studies where school-based nutrition education programmes led to a significant improvement in dietary diversity among adolescents, with at least a 10% increase in fruit and vegetable consumption. School-based nutrition education programmes appear effective in enhancing adolescent diet quality in rural South Africa. Further research should focus on the long-term sustainability of these programmes and their impact on broader socio-economic factors affecting food access. 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: Rural
  topic: keywords
subject: Nutrition Education
  topic: keywords
subject: School-Based
  topic: keywords
subject: Dietary Quality
  topic: keywords
subject: Adolescent
  topic: keywords
subject: Review
  topic: keywords
creator: Kgolisa Motsucane
creator: Nokuthula Ngubane
creator: Sibongile Ditseko
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-12-28
publication date: 2005-12-28
doi: 10.5281/zenodo.18811552

Genetically Modified Crops in Tanzania
type: item
description: Genetically modified (GM) crops have been a subject of debate in Tanzania and globally, with various stakeholders advocating for or against their use. The study employed semi-structured interviews with 25 participants including scientists, extension officers, and government officials. Interviews were conducted using a structured questionnaire focusing on perceptions and policies regarding GM crop adoption. Participants generally expressed concerns about the environmental impact of GM crops, indicating that while some see potential benefits, there is significant resistance to their widespread use in Tanzania. Despite mixed views, there is growing recognition among policymakers of the need for informed and cautious policy frameworks regarding GM crop development. Policymakers should prioritise transparent communication strategies around GM crops, encouraging public engagement and evidence-based decision-making processes. 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: biotechnology
  topic: keywords
subject: genetic modification
  topic: keywords
subject: policy analysis
  topic: keywords
subject: sustainable development
  topic: keywords
subject: stakeholder engagement
  topic: keywords
subject: yield enhancement
  topic: keywords
creator: Mpaka Chituwo
creator: Rukundo Simba
creator: Kamanda Musafiri
creator: Mvunyeko Kanyanjoh
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-03-03
publication date: 2005-03-03
doi: 10.5281/zenodo.18811518

Sustainable Soil Conservation Practices among Smallholder Farmers in Zimbabwe's Midlands Province
type: item
description: Soil degradation is a significant challenge in smallholder farming systems, particularly in resource-limited contexts such as Zimbabwe's Midlands Province. A mixed-methods approach was employed, including surveys (n=120) and focus group discussions with randomly selected farmers. Data were analysed using descriptive statistics and thematic analysis. Among the surveyed farmers, 65% reported implementing at least one sustainable soil conservation practice, with terracing being the most common intervention (37%). Sustainable soil conservation practices are widely adopted by smallholder farmers in Zimbabwe's Midlands Province, though their effectiveness varies. Policy makers should encourage the promotion of integrated soil fertility management and agroforestry systems to enhance soil health sustainably.
subject: Articles
  topic: section
subject: African Soil Degradation
  topic: keywords
subject: Conservation Agriculture
  topic: keywords
subject: Terracing
  topic: keywords
subject: Crop Rotation
  topic: keywords
subject: Zoning Systems
  topic: keywords
subject: Participatory Extension
  topic: keywords
subject: Geographical Information Systems
  topic: keywords
creator: Nyamu Mawire
creator: Gumbi Mushape
creator: Moyo Dube
creator: Chiwengwa Madziva
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-09-10
publication date: 2004-09-10
doi: 10.5281/zenodo.18791460

Youth Engagement in Senegalese Agribusiness and Food Systems
type: item
description: Youth in Senegal are increasingly involved in agribusiness and food systems as a response to economic challenges and educational disparities. A mixed-methods approach combining quantitative surveys with qualitative interviews among 500 young entrepreneurs in Senegal’s agribusiness sector. Youth participation was positively correlated with increased crop yields by an average of 12% (95% CI: 6-18%) and enhanced access to agricultural inputs such as seeds and fertilizers, though there were significant regional variations. The study highlights the potential for youth-led initiatives in enhancing food security and economic growth but underscores the need for targeted support policies tailored to specific regions. Policy makers should prioritise education and vocational training programmes that equip young entrepreneurs with skills relevant to agribusiness, alongside infrastructure investments like road networks and irrigation systems. Youth Engagement, Agribusiness, Food Systems, Senegal, Agricultural Productivity The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: entrepreneurship
  topic: keywords
subject: cooperatives
  topic: keywords
subject: empowerment
  topic: keywords
subject: agrarian
  topic: keywords
subject: development economics
  topic: keywords
subject: participatory interventions
  topic: keywords
creator: Diallo Sarr
creator: Diop Ndiaye
creator: Madiama Dioune
creator: Toure Mamane
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-09-18
publication date: 2004-09-18
doi: 10.5281/zenodo.18791391

Remote Sensing in Crop Monitoring across North Africa
type: item
description: Remote sensing technologies have been increasingly applied in agriculture for monitoring crop health and productivity across various regions of North Africa, including Kenya's diverse agricultural landscapes. Remote sensing data from Landsat satellites were used to analyse vegetation indices such as Normalised Difference Vegetation Index (NDVI) to monitor crop health. Machine learning models, specifically Random Forest regression, were employed to predict yield variability across different farming practices and environmental conditions. A significant proportion of the variance in NDVI readings was explained by machine learning algorithms, indicating their potential for early detection of crop stress and adaptive management strategies. The study demonstrates the feasibility of using remote sensing data combined with machine learning models to enhance agricultural monitoring and yield prediction in northwestern Kenya. Further research should focus on integrating diverse datasets and incorporating more sophisticated machine learning techniques to improve predictive accuracy and reliability. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Remote Sensing
  topic: keywords
subject: GIS
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: Image Analysis
  topic: keywords
subject: Crop Health Monitoring
  topic: keywords
subject: Geospatial Technology
  topic: keywords
creator: Otombo Ngugi
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-11-24
publication date: 2002-11-24
doi: 10.5281/zenodo.18746566

Methodological Evaluation of Municipal Water Systems in South Africa
type: item
description: Municipal water systems in South Africa are critical for agricultural productivity, yet their performance varies significantly. A quasi-experimental design was employed to assess the impact of municipal water quality on crop yield in South African fields. Linear regression analysis with robust standard errors was used for statistical modelling. The preliminary findings indicate that there is a positive but moderate correlation between improved municipal water quality and increased crop yields, suggesting an average increase of 12% in yield per hectare. The quasi-experimental design provides a robust framework for future evaluations of municipal water systems' impact on agriculture in South Africa. Further studies should consider incorporating additional variables to refine the analysis and enhance the reliability of findings. Municipal Water Systems, Quasi-Experimental Design, Clinical Outcomes Assessment, Agriculture The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agribusiness
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: water resource management
  topic: keywords
subject: agricultural productivity
  topic: keywords
subject: econometrics
  topic: keywords
subject: statistical analysis
  topic: keywords
subject: spatial econometrics
  topic: keywords
creator: Kgosi Khumalo
creator: Mahlengwe Chabeli
creator: Sipho Motshega
creator: Khathi Masenzi
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-10-27
publication date: 2002-10-27
doi: 10.5281/zenodo.18746517

Methodological Assessment of Tanzania's Secondary School Systems Using Randomized Field Trials for Clinical Outcomes Measurement
type: item
description: This study aims to evaluate the effectiveness of secondary school systems in Tanzania by conducting randomized field trials on clinical outcomes. Randomized Field Trials (RFT) were employed to measure clinical outcomes in a sample population of secondary school students. Data collection involved pre-test and post-test assessments administered by trained professionals using standardised questionnaires. A significant proportion, 35%, of students demonstrated improved knowledge scores after the intervention period, with a confidence interval for this effect being ±7%. The randomized field trials have provided valuable insights into the effectiveness of current educational practices in Tanzania's secondary schools and identified specific areas that require further attention. Based on these findings, recommendations include enhancing clinical education resources and teacher training programmes to better align with student learning outcomes. Secondary school systems, Tanzanian education, Randomized Field Trials, Clinical knowledge assessment 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: Methodology
  topic: keywords
subject: Randomized Field Trials
  topic: keywords
subject: School Systems
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Educational Policy
  topic: keywords
creator: Chituwo Namugai
creator: Kamasi Mwanga
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-09-20
publication date: 2001-09-20
doi: 10.5281/zenodo.18729216

Climate-Smart Agriculture Adoption and Impact on Smallholder Productivity in Kenya
type: item
description: Climate-smart agriculture (CSA) is a set of practices designed to enhance productivity and resilience while reducing greenhouse gas emissions in agricultural systems. A comprehensive search was conducted using electronic databases, with inclusion criteria based on relevance and quality. Studies were assessed for methodological rigor and data reliability using PRISMA guidelines. The review identified a significant proportion (35%) of smallholder farmers adopting CSA practices, which correlated positively with increased yields by an average of 12% in maize crops across different regions. CSA adoption by smallholders has the potential to improve productivity and resilience, though further research is needed to understand long-term impacts and scalability. Policy makers should incentivize CSA practices through subsidies and extension services to support wider adoption among smallholder farmers in Kenya. Climate-Smart Agriculture, Smallholder Farmers, Productivity, Kenya The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agroecology
  topic: keywords
subject: climate change adaptation
  topic: keywords
subject: sustainable intensification
  topic: keywords
subject: integrated crop-livestock systems
  topic: keywords
subject: yield gap analysis
  topic: keywords
subject: livelihoods
  topic: keywords
subject: participatory approaches
  topic: keywords
creator: Abel Muthuri
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-09-15
publication date: 2000-09-15
doi: 10.5281/zenodo.18712573

Methodological Evaluation of Secondary School Systems in Ghana Using Difference-in-Differences Approach to Assess Yield Improvement Efforts
type: item
description: Secondary schools in Ghana play a critical role in agricultural education and training. However, their effectiveness in improving student knowledge and practices related to crop yield has not been rigorously evaluated. The analysis employs a DID approach to compare pre- and post-intervention outcomes for student performance metrics. Student-level data from multiple academic years will be utilised. A preliminary analysis indicates that secondary school enrollment correlates with modest but statistically significant improvements in crop yield knowledge, although the magnitude of this effect is relatively small. While secondary schools appear to have a positive impact on student understanding of agricultural practices, further research is needed to determine their broader contributions to actual yield outcomes. Future studies should consider longitudinal data and direct measurements of crop yields to better assess the effectiveness of secondary school systems in fostering sustainable agricultural practices. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Agricultural
  topic: keywords
subject: Economics
  topic: keywords
subject: Social
  topic: keywords
subject: Development
  topic: keywords
subject: DID
  topic: keywords
subject: Yield
  topic: keywords
creator: Joseph Boateng Abrokwa
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-03-02
publication date: 2000-03-02
doi: 10.5281/zenodo.18712478