Adoption of computer-based technology (CBT) in agriculture in Kentucky, USA: Opportunities and barriers

Gyawali, Buddhi Raj; Paudel, Krishna P.; Jeans, Rosny; Banerjee, Swagata

doi:10.1016/j.techsoc.2023.102202

Cited by 7 publications

(3 citation statements)

References 45 publications

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“…Moreover, the findings documented in the existing literature (Ammann et al, 2022;Gyawali et al, 2023;Martínez-Domínguez and Mora-Rivera, 2020;Tamirat et al, 2018) are not agreement across the research. For example, Tamirat et al (2018) investigated factors shaping the farmers' use of digital agricultural technologies in Denmark and Germany, using a binary logit model, and found that the young farmers tended to adopt digital tools in agriculture production more than older farmers.…”

Section: Introductionmentioning

confidence: 62%

“…A number of research into farmers’ adoption of digital technologies in agriculture has been carried out in other countries (Abdulai et al, 2023; Ammann et al, 2022; Giua et al, 2022; Larson et al, 2008; Michels et al, 2019; Pfeiffer et al, 2021; Pivoto et al, 2019; Silva et al, 2011; Tamirat et al, 2018). The mainstream literature shows that the farmer's use of digital technologies is likely to be influenced by the following factors: (A) demographic characteristics of farmers such as age, gender and education levels (Ammann et al, 2022; Gyawali et al, 2023; Pfeiffer et al, 2021), (B) characteristics of farms and households such as farming experience, farm size and income (Barnes et al, 2019; Marescotti et al, 2021), (C) situational factors such as distance from nearest markets (Abebe and Mammo Cherinet, 2019) and (D) institutional characteristics such as farmers’ participation in workshops and cooperatives (Pivoto et al, 2019; Tamirat et al, 2018). However, a few studies have examined farmers’ adoption of digital agricultural technologies in developing countries.…”

Section: Introductionmentioning

confidence: 99%

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Smallholder farmers’ perception and adoption of digital agricultural technologies: An empirical evidence from Vietnam

Hoang,

Tran

2023

Outlook Agric

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This study examines smallholder farmers’ perception of digital agricultural technology and factors that shape the smallholders’ adoption of it in South Central Vietnam. A sample size of 202 smallholder farmers was randomly chosen from a total population of 407 smallholder farmers. Descriptive statistics and a binary logistic regression were used to analyse the data. The results show that the internet and connectivity/wireless, mobile applications and digital platforms are the common digital technologies used by smallholder farmers and these are also the most effective digital technologies for dealing with agricultural production and marketing issues. It can be concluded that younger smallholder farmers who had higher education levels, who interacted with scientists and possessed large farms are in a better position to adopt digital technologies of the internet and connectivity/wireless, mobile applications and digital platforms than older smallholder farmers who had lower education levels, did not interact with scientists and owned small farms. Smallholder farmers who participated in training programs, was member of community-based organisations and contacted with extension workers tend to be digital technology users of the internet and connectivity/wireless and mobile applications. Smallholder farmers who live far from local markets tend to be digital technology users of digital platforms compared to those who live close to one. The provision of training courses on the use of digital technologies in agriculture that consider demographic, socio-economic and institutional characteristics of smallholders when designing and delivering, is a proper agricultural extension strategy which can foster the smallholder farmers to adopt digital technologies for managing agricultural production and marketing systems.

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Section: Introductionmentioning

confidence: 62%

Section: Introductionmentioning

confidence: 99%

Smallholder farmers’ perception and adoption of digital agricultural technologies: An empirical evidence from Vietnam

Hoang,

Tran

2023

Outlook Agric

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“…Mohammed et al (2023), Monteiro Moretti et al (2023 and Vecchio et al (2022) broaden the scope with a European lens, offering insights on farmers' perspectives, shared understanding and the vital role of economic considerations in PF. Michels and Musshoff (2022) work peels back layers on the timing of smartphone adoption among German farmers, while Li et al (2020), Barnes et al (2019) and Gyawali et al (2023) underscore the importance of facilitating conditions, economic barriers and the interplay of education and age, respectively, in technology adoption in their regions of study. As the narrative shifts towards robotic integration in agriculture, Gil et al (2023) emphasise design nuances, business models and ecological ramifications in the adoption of commercial agricultural robots.…”

Section: Empirical Insights: Unravelling the Dynamics Of Agricultural...mentioning

confidence: 99%

A systematic review on the factors governing precision agriculture adoption among small-scale farmers

John,

Hussin,

Shahibi

et al. 2023

Outlook Agric

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The global agricultural paradigm is witnessing a transformative shift with the advent of precision agriculture. While large-scale agricultural enterprises have been swift in their embrace of this innovation, its uptake among small-scale farmers remains nuanced and complex. This study elucidates the multi-faceted determinants that influence the adoption of precision agriculture within the small-scale farming sector. The study adopts a systematic literature review approach, meticulously selecting and analysing 29 relevant papers. Drawing upon an exhaustive literature review and empirical analyses, the research presents a composite framework weaving economic, technological, social, and environmental factors. Among these, the social dynamics emerge as the most significant factor, shaped by awareness levels, knowledge dissemination pathways, and entrenched cultural norms. These social elements often intertwine with ingrained traditional practices and perceptions, forming the most intricate layer shaping adoption attitudes. Notably, although economic factors like substantial initial investments and the calculus of Return on Investment are present, they are overshadowed by social considerations. The technological landscape is characterised by the challenges of digital literacy, infrastructural readiness, and technological interoperability. Lastly, environmental imperatives, underscored by resource scarcity, climate change resilience, and ecosystem services, offer both challenges and motivations. Together, these factors delineate the intricate roadmap guiding small-scale farmers in their journey toward precision agriculture adoption. This comprehensive exploration provides stakeholders with actionable insights, fostering informed decision-making and strategic interventions to augment precision agriculture's integration within the small-scale farming tapestry.

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An intelligent blockchain technology for securing an IoT-based agriculture monitoring system

Mahalingam

Sharma

2023

Multimed Tools Appl

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Adoption of computer-based technology (CBT) in agriculture in Kentucky, USA: Opportunities and barriers

Cited by 7 publications

References 45 publications

Smallholder farmers’ perception and adoption of digital agricultural technologies: An empirical evidence from Vietnam

Smallholder farmers’ perception and adoption of digital agricultural technologies: An empirical evidence from Vietnam

A systematic review on the factors governing precision agriculture adoption among small-scale farmers

An intelligent blockchain technology for securing an IoT-based agriculture monitoring system

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