AgriEngineering · 2019 · 89 citations · 11 references
ComputingCloud ComputingInformation TechnologyAgricultural AutomationAgricultural DevelopmentFarm ManagementAgricultural Internet Of ThingsAgricultural TechnologyCloud Computing AdoptionInnovation AdoptionTechnology AdoptionAgricultural Technology AdoptionCloud AdoptionFarmer Adoption BehaviorSamplingSmart Farming SystemsTechnological AdoptionTechnology Adoption DecisionsTechnology Adoption In Farming
The primary objective of this research is to find the disparity for slow adoption of Smart Farming Technologies (SFT) in Ireland. The usage of Cloud Computing technology among Irish farmers would help to find out the adoption behaviour barrier and way to enhance from the present system. The research will also help us to indicate the reasons for farmers in adopting and not adopting any technology. The research followed a mixed method where both surveys and interviews were used to collect the data from Irish farmers. A total sample of 32 farmers were selected through snowball sampling with the help of social websites. This study explored the major factors in adopting new technology among Irish farmers. It also helped to find the perception of farmers and ways to improve from the present system. The result shows that Cloud Computing adoption among the young farmers is greater while it is lower among the old farmers in Ireland.
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Anand Nayyar, Vikram Puri · 2016 · 172 citations
Eugenio Cavallo, Ester Ferrari, Luigi Bollani et al. · Agricultural Systems · 2014 · 149 citations · Full text
Management, Agricultural Economics, Innovation Management +16