2016
DOI: 10.1111/soru.12120
|View full text |Cite
|
Sign up to set email alerts
|

Publicising Food: Big Data, Precision Agriculture, and Co‐Experimental Techniques of Addition

Abstract: This article draws upon data taken from the following: 18 interviews of Iowa farmers who utilise big data when making farm management decisions; 14 interviews of those engaged within big data industry, those involved in the sale and promotion of large‐scale data acquisition, predictive analytic software, and/or precision agriculture technologies for conventional agriculture applications; and 19 interviews of regional food system entrepreneurs, those looking to create and encourage the adoption of technological… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
112
0
10

Year Published

2017
2017
2021
2021

Publication Types

Select...
4
4

Relationship

0
8

Authors

Journals

citations
Cited by 177 publications
(123 citation statements)
references
References 29 publications
1
112
0
10
Order By: Relevance
“…The World Economic Forum has extrapolated from the automotive sector to predict wide-scale "technological unemployment" resulting from the application of automation in sectors such as agriculture (WEF, 2016). Changes in rural work populations could have a major impact on social cohesion in many communities and on the livelihoods of many labourers (Carolan, 2016). Studies of the application of smart innovations to the dairy sector in Australia reveal a reshaping of the practice of farming, with less hands-on management and more "data-driven" decisions (Eastwood et al, 2012).…”
Section: What Is the "Smart" Farming "Revolution"?mentioning
confidence: 99%
“…The World Economic Forum has extrapolated from the automotive sector to predict wide-scale "technological unemployment" resulting from the application of automation in sectors such as agriculture (WEF, 2016). Changes in rural work populations could have a major impact on social cohesion in many communities and on the livelihoods of many labourers (Carolan, 2016). Studies of the application of smart innovations to the dairy sector in Australia reveal a reshaping of the practice of farming, with less hands-on management and more "data-driven" decisions (Eastwood et al, 2012).…”
Section: What Is the "Smart" Farming "Revolution"?mentioning
confidence: 99%
“…In the 1980s, for example, Tom Trantham was resigned to selling his beloved high-producing dairy cows before he worked with RAFI to implement a sustainable grazing plan that reduced his costs and allowed him to access new markets for on-farm bottled milk. 16 In Missouri, farmers working through the Missouri Rural Hack, a global community of innovative farmers building and modifying farm implements -and then sharing their "hacks" with others (Carolan 2017). We include these examples to show how farmers embedded within the highly industrialized, capital-intensive systems struggle both to reshape commodity markets while also seeking to create alternatives that can transform food system relationships.…”
Section: Discussion: Resisting and Reshaping The Agrifood Systemmentioning
confidence: 99%
“…Of increasing concern is ownership in the digital age, including data, codes and programming upon which commercial farmers have come to rely; even smaller scale row-crop farms use GPS systems to manage soil fertility, irrigation, and especially yield data, while farmers with recently purchased tractors or combines cannot legally fix the machines themselves (Carolan 2017).…”
Section: Concentration In the Markets For Inputs Required To Raise Crmentioning
confidence: 99%
See 1 more Smart Citation
“…One of the largest of these challenges is the moral and ethical questions about access, cost, scale and support, which will determine whether it will ever be possible, or indeed desirable, for all farms to be 'big data enabled', or whether it is an inevitable progression of modernisation in agriculture (Carolan 2016b). Another key question in an Australian context is whether big data will help the industry overcome competition from new entrants to the market such as India and China, fluctuations in market demand, increasing niche market opportunities requiring different approaches, and a plateauing of the intensification of the industry (producing more from less by increasing efficiencies).…”
Section: Introductionmentioning
confidence: 99%