Utilization of ICT for agriculture: A case study of Kakamega county, Kenya

Thiga, Moses; Ndung'u, Simon Ndogo

doi:10.1109/istafrica.2015.7190569

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…Research also suggests that individuals' perceptions are important determinants of individual technology use. Thiga and Ndungu (2015), for example, identify lack of awareness as the primary reason why agriculture extension officers do not utilize ICTs in Kenya. Mobile applications in particular were the least utilized form of ICT among respondents (Thiga & Ndungu, 2015).…”

Section: Factors That Influence Adoption and Use Of M-servicesmentioning

confidence: 99%

“…Thiga and Ndungu (2015), for example, identify lack of awareness as the primary reason why agriculture extension officers do not utilize ICTs in Kenya. Mobile applications in particular were the least utilized form of ICT among respondents (Thiga & Ndungu, 2015). Since agriculture extension officers provide outreach to farmer organizations such as agricultural and livestock cooperatives they are positioned to be agents of change and advancement within a community.…”

Section: Factors That Influence Adoption and Use Of M-servicesmentioning

confidence: 99%

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Smallholder farmers' use of mobile phone services in central Kenya

Krell

Giroux

Guido

et al. 2020

Climate and Development

114

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Information and services delivered through mobile phones, 'm-services', have transformative potential to provide rural African farmers with important agro-meteorological information. However, a greater understanding is needed regarding the types of m-services available to farmers, how farmers access that information, and possible factors affecting m-service use. With a study of smallholder farming communities in central Kenya, we examine factors affecting the likelihood of Kenyan farmers' adoption of m-services specifically related to agriculture and livestock information, buying and selling products, and alerts about agricultural or livestock activities. According to a survey of 577 farming households, 98% of respondents own a mobile phone. Approximately 25% use it to access information about agriculture and livestock, 23% access information about buying and selling products, and 18% receive alerts. Personal smartphone ownership increases the likelihood of m-services use (p < .001), as does membership in farmer organizations (p < .001). We find that age and income are not significantly related to m-service use, and we discuss this result in terms of intersections between smartphone ownership, gender, and education. Consistent with prior qualitative research, our quantitative results further support the need for m-services providers to design for basic or feature phone users for improved dissemination of agro-meteorological information. ARTICLE HISTORY

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Section: Factors That Influence Adoption and Use Of M-servicesmentioning

confidence: 99%

Section: Factors That Influence Adoption and Use Of M-servicesmentioning

confidence: 99%

Smallholder farmers' use of mobile phone services in central Kenya

Krell

Giroux

Guido

et al. 2020

Climate and Development

114

View full text Add to dashboard Cite

show abstract

Infocentros, a key factor for the deployment of e-agriculture in ecuador

Torres-Tello

Fuenmayor-Viteri

2017

2017 Fourth International Conference on eDemocracy &Amp; eGovernment (ICEDEG)

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Literasi Informasi Penyuluh Pertanian di Kabupaten Cianjur

Rasmira

Wahyuni²

2019

Jupe

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In the information overload, agricultural extension agents as agents of agricultural development need to have information literacy skills because most of their main tasks and functions are related to the activities of collecting, processing and disseminating agricultural information. This study aims to 1) identify information literacy among extension workers in Cianjur Regency2) analyze the factors that are related to information literacy among extension workers in Cianjur Regency. The study sample was 80 extension workers in Cianjur Regency. The method of analysis uses descriptive statistics and inferential statistics using Spearman Rank correlation to analyze relationships between variables. The results showed that the information literacy level of agricultural extension workers was classified as middle especially in storing and retrieving information, using information effectively and ethically, and communicating knowledge. Extension agents have a high ability in terms of recognizing the information needed, finding and evaluating it. Two factors that are significantly related to information literacy are characteristics of extension agents (age, formal education level, working life) and accessibility of communication media (ease of access and variety of media uses).

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Utilization of ICT for agriculture: A case study of Kakamega county, Kenya

Cited by 4 publications

References 2 publications

Smallholder farmers' use of mobile phone services in central Kenya

Smallholder farmers' use of mobile phone services in central Kenya

Infocentros, a key factor for the deployment of e-agriculture in ecuador

Literasi Informasi Penyuluh Pertanian di Kabupaten Cianjur

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