Emma Jakku

Dr. Emma Jakku

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2012 in Global Environmental Change
Verified
Journal Article
Closed access
SPS.E. Park
S.E. Park
NMNadine Marshall
Nadine Marshall
EJEmma Jakku
Emma Jakku
ADA.M. Dowd
A.M. Dowd
SHStuart Howden
Stuart Howden
AFAysha Fleming
Aysha Fleming

1 April 2020 in Agricultural Systems
Verified
Journal Article
Open access
SFSimon J. Fielke
Simon J. Fielke
BTBruce Taylor
Bruce Taylor
EJEmma Jakku
Emma Jakku

1 December 2019 in NJAS: Wageningen Journal of Life Sciences
Verified
Journal Article
Open access
LWLeanne Wiseman
Leanne Wiseman
JSJay Sanderson
Jay Sanderson
AZAirong Zhang
Airong Zhang
EJEmma Jakku
Emma Jakku

1 December 2019 in NJAS: Wageningen Journal of Life Sciences
Verified
Journal Article
Open access
EJEmma Jakku
Emma Jakku
BTBruce Taylor
Bruce Taylor
AFAysha Fleming
Aysha Fleming
CMClaire Marjorie Mason
Claire Marjorie Mason
SFSimon J. Fielke
Simon J. Fielke
PTPeter Thorburn
Peter Thorburn

1 November 2010 in Agricultural Systems
Verified
Journal Article
Closed access
EJEmma Jakku
Emma Jakku
PTP.J. Thorburn
P.J. Thorburn

17 April 2018 in Agronomy for Sustainable Development
Verified
Journal Article
Open access
PDF file
AFAysha Fleming
Aysha Fleming
EJEmma Jakku
Emma Jakku
LLLilly Lim-Camacho
Lilly Lim-Camacho
BTBruce Taylor
Bruce Taylor
PTPeter Thorburn
Peter Thorburn
Continued population growth and land intensification put increasing pressure on agricultural production and point to a need for a ‘step change’ in agriculture to meet the demand. Advances in digital technology—often encapsulated in the term ‘big data’—are increasingly assumed to be the way this challenge will be met. For this to be achieved, it is necessary to understand the ways that farmers and other industry stakeholders perceive big data and how big data might change the industry. It is also necessary to address emerging moral and ethical questions about access, cost, scale and support, which will determine whether farms will be able to be ‘big data enabled’. We conducted a discourse analysis of 26 interviews with stakeholders in the grains industry in Australia. Two main discourses were identified: (1) big data as a technology that will significantly benefit a few larger farms or businesses—Big Data is for Big Farming—and conversely (2) big data as a way for every farmer to benefit—Big Data is for Everyone. We relate these findings and the literature on adoption of technology and social studies in agriculture to the potential of farmers to embrace big data, from basic concerns about network infrastructure through to more complex issues of data collection and storage. The study highlights that there are key questions and issues that need to be addressed in further development of digital technology and big data in agriculture, specifically around trust, equity, distribution of benefits and access. This is the first study of big data in agriculture that takes a discourse analysis approach and thus interrogates the status quo and the prevailing norms and values driving decisions with impacts on both farmers and wider society.