9 research outputs found

    Mobile phone-assisted agricultural extension services: User competency and usage frequency in eastern Ghana

    Get PDF
    Adoption studies have mainly focused on econometric and quantitative modelling that usually assume smallholder farmers competently adopt agricultural technologies. This study provides novel insights on user competency and frequency of usage of mobile telephony for agricultural  extension services among smallholder farmers and agricultural extension agents (AEAs) and key factors that impede the adoption process. The study examined users’ competencies and mobile phone usage frequency for access and delivery of agricultural extension services in Eastern Ghana. A multi-stage sampling procedure was used to select 95 AEAs and 330 smallholder farmers in five districts of the Eastern region of Ghana and data were collected through semistructured interviews. Descriptive statistics, Pearson correlation and regression analyses were performed to analyse the data. Results showed substantial differences between AEAs and smallholder farmers’ competency in the use of mobile phones for agricultural  extension services. Socio-demographic characteristics of smallholder farmers and AEAs correlated with usage frequency of mobile phones for access to extension services and delivery. Educational level, amount of weekly expenditure of money on mobile phone use, mobile phone network quality, income level, and age ofboth AEAs and smallholder farmers had positive and significant correlations with frequency of usage of mobile phones. User competency differentially impacts the frequency of mobile phone use in agricultural extension services between AEAs andsmallholders. High call tariffs and access to recharge cards are major challenges in using mobile phones for agricultural extension in the study areas. The study shows components of the adoption theory of compatibility, and complexity where an innovation fits within the socio-cultural framework and perceived difficulty of use. Thus, the frequent use of voice calls is indicative of early stages of the diffusion process and may diversify into other applications in the future. Farmer-based organisations should be resourced to support training of farmers to use mobile phones to improve access to agricultural information dissemination. Integrating voice-based agricultural information services (IVRs) into the current SMS-based agricultural extension services in Ghana could potentially boost extension service delivery to smallholder farmers in the Eastern region and across the country. The Ministry of Food and Agriculture may partner with key stakeholders and mobile service providers to offer hands-on capacity building to smallholder farmers and AEAs in video calling/conferencing, multimedia service, and social media to enhance their competencies for improved agricultural extension services

    Challenges and solutions for enhancing agriculture value chain decision-making. A short review

    Get PDF
    © IFIP International Federation for Information Processing 2017. Increasingly challenging global and environmental requirements have resulted in agricultural systems coming under increasing pressure to enhance their resilience capabilities. This in special to respond to the abrupt changes in resource quality, quantity and availability, especially during unexpected environmental circumstances, such as uncertain weather, pests and diseases, volatile market conditions and commodity prices. Therefore, integrated solutions are necessary to support the knowledge-management, collaborative ICT solution, risk management and regulation management across agriculture stakeholders. Therefore, and based on the on-going work under the H2020 RUC-APS project research network, this book chapter is oriented to contribute to agriculture value chain decision-making field to cover the current need on gathering a common understanding and appreciation of new trends in agriculture value chain, in special the multi-disciplinary challenges. For this, a short a literature review is conducted to summarise the main findings on real application and current research trends. This within the objective to propose an integrated framework based on better use of communication ways, standardised structures, development of training and awareness, regulation based initiatives and vertical Integration

    Application of Action Research Methodology in Improving the Processing Quality of Local Rice in the Dadin-Kowa Community of Gombe State Nigeria

    Get PDF
    Dadin Kowa community of Gombe State is noted for rice production due to the presence of dams that ensure all year rice production. However, low patronage and high price of local rice in local markets are putting many farmers and women processors out of business. The paper shares results of an action research process that led to the determination of rice consumer preferences and strengthening of women processors group to improve processing quality of local rice. Forty-seven respondents were sampled using purposive and snow balling sampling techniques to provide views on consumers’ preference for rice. Frequencies and percentages were used to analyse and describe the results of the study. The study concluded that paddy rice contains 0.21% stones and sand which could be eliminated using a destoner. Furthermore, a locally manufactured wooden winnower reduces winnowing time by 25 minutes and improves purity by 20% when compared to traditional winnowing process. The processed rice from the action methodology process received 30 and 16 point difference for appearance and acceptability by consumers respectively when compared to the traditional method. Finally, an extra income of N2400 was realised per 100kg bag of improved rice. Both the study methodology and conclusions have implications for agricultural training and extension delivery, which together help forge functional linkages among the major sub-systems of the agricultural knowledge systems. Resultantly, clientele’s experience is integrated into total learning process, thereby entraining the planned change. Key Words: Action Research Methodology, Rice Processing, Quality of ric

    Computational Methods for the Analysis of Chemical Sensor Array Data from Volatile Analytes

    No full text

    Cross-Reactive Chemical Sensor Arrays

    No full text
    corecore