This paper addresses this gap by examining the nature of disruption to farm advisors from data-driven smart farming and identifies the challenges and opportunities. The authors aim to better theorize smart farming innovation by examining the advisory role to provide insights for technology developers, and policy directions for governments in relation to supporting uptake of farming innovations. To achieve this aim they ask: how are farmers and advisors interacting with data-driven smart farming, and what are the implications for farm advisor capability and roles in a future where farmers use more data-driven smart farming? In this paper, is proposed propose a conceptual framework before analyzing the experiences of farmers and advisors in the context of three data-driven smart farming case studies in Australia and NZ. In the discussion, we reflect on potential changes in advisory services needed to enable farmers to capture greater value from the use of data-driven smart farming
In this paper is presented insights from a co-design process with private farm advisers and ask: What enables farm advisers to engage with digital innovation? And, how can digital innovation be supported and practiced in smart farming contexts? Digital innovation presents...
Digital agriculture is likely to transform productive processes both on- and off- farm, as well as the broader social and institutional context using digital technologies. It is largely unknown how agricultural knowledge providing organisations, such as advisors and science organisations,...
WhatsApp sends real-time messages and is one of the world’s most popular communication applications in the 21st century. The present study highlights and examines the domestication of WhatsApp among farmers. An exhaustive whatsapp user list was prepared from each village...
The Asia-Pacific Association of Agricultural Research Institutions (APAARI) in collaboration with the Australian Centre for International Agricultural Research (ACIAR), Department of Agriculture (DOA), Thailand, Food and Agriculture Organization of the United Nations – Regional Office for Asia and the Pacific...
The objective of the study was to identify a viable trade-off between low data requirements and useful household-specific prioritizations of advisory messages. At three sites in Ethiopia, Kenya, and Tanzania independently, we collected experimental preference rankings from smallholder farmers for receiving...