Abstract

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.

Highlights

  • Big data and its potential to ‘revolutionise’ the industry (Huberty 2015) are of interest to agricultural industries and researchers across Australia, and globally

  • We examine language use and its effects through discourse analysis and aim to raise questions about who benefits from big data and pose issues of access, equity and agency that need to be acknowledged in further development of digital technology

  • We have divided the results into two core discourses that emerged from the grounded theory analysis—Big Data is for Big Farming and Big Data is for Everyone

Read more

Summary

Introduction

Big data and its potential to ‘revolutionise’ the industry (Huberty 2015) are of interest to agricultural industries and researchers across Australia, and globally. According to Wolfert et al (2017), ‘a unifying definition of big data is difficult to give, but generally it is a term for data sets that are so large or complex that traditional data processing applications are inadequate’. The new capabilities underpinning big data include cloud computing, social media, artificial intelligence, sensor technology, the Internet of Things, robotics, mobile applications and increased capacity for storing and analysing large data sets previously only possible using supercomputers (Kitchin 2014; Sonka 2015; Wolfert et al 2017). The technology for big data applications on farms already exists. It is possible to combine large data sets and analyses including:

Objectives
Methods
Results
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call