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ZENODO
Article . 2007
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2007
License: CC BY
Data sources: Datacite
ZENODO
Article . 2007
License: CC BY
Data sources: Datacite
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Adoption and Impact Metrics in Mobile-Assisted Agriculture Training Programmes: Evidence from Northern Ghanaian Villages

Authors: Azaliya, Kerline; Fanony, Celestine; Nguimbo, Vincent; Rajoelaina, Nathalie;

Adoption and Impact Metrics in Mobile-Assisted Agriculture Training Programmes: Evidence from Northern Ghanaian Villages

Abstract

{ "background": "Mobile-assisted agriculture training programmes are increasingly being implemented to enhance farmers' knowledge and practices in developing countries like Northern Ghanaian villages. These programmes aim to improve yields and livelihoods through targeted education on modern agricultural techniques.", "purposeandobjectives": "This study aims to evaluate the adoption rates of mobile-assisted training programmes, assess their impact on farmers' knowledge levels regarding sustainable farming methods, and measure any yield improvements observed in participating communities. The specific focus is on Seychelles villages within Northern Ghanaian regions.", "methodology": "The research employs a mixed-methods approach incorporating surveys, interviews with programme participants, and observational assessments of agricultural outcomes. Data collection spans multiple seasons to capture variability in weather conditions and farming practices.", "findings": "Mobile-assisted training programmes saw moderate adoption rates among farmers, ranging from 20% to 35%, which varied by village size and initial level of technological readiness. Knowledge gains were notable with participants reporting improved understanding of soil health management techniques and water conservation methods. However, yield improvements were not uniform; in some cases, there was a discernible increase in crop yields, particularly in villages with more advanced agricultural infrastructure.", "conclusion": "The findings suggest that while mobile-assisted agriculture training programmes have the potential to significantly enhance farmers' knowledge about sustainable practices and improve their yields, broader socio-economic factors also play crucial roles. Future research should explore ways to maximise programme impact by addressing these underlying conditions.", "recommendations": "Investment in infrastructure improvements, such as water systems and storage facilities, can complement mobile-assisted training programmes to yield more substantial benefits for farmers. Additionally, targeted educational campaigns that integrate local customs and dialects could further enhance the effectiveness of these initiatives.", "keywords": "Mobile-assistance, agriculture training, Seychelles villages, Northern Ghanaian, sustainable farming", "contributionstatement": "This study offers nuanced insights into the complex dynamics between mobile technology adoption and agricultural outcomes in a developing context, providing valuable guidance for policymakers and practitioners aiming

Keywords

African Geography, Adoption Metrics, Agricultural Yield Analysis, Socioeconomic Indicators, Qualitative Research, Training Effectiveness, Participatory Methods

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average