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Surveillance Farm: Towards a Research Agenda on Big Data Agriculture
Surveillance & Society Pub Date : 2018-10-12 , DOI: 10.24908/ss.v16i3.12594
Francisco Klauser

Farming today relies on ever-increasing forms of data gathering, transfer, and analysis. Think of autonomous tractors and weeding robots, chip-implanted animals and underground infrastructures with inbuilt sensors, and drones or satellites offering image analysis from the air. Despite this evolution, however, the social sciences have almost completely overlooked the resulting problematics of power and control. This piece offers an initial review of the main surveillance issues surrounding the problematic of smart farming, with a view to outlining a broader research agenda into the making, functioning, and acting of Big Data in the agricultural sector. For surveillance studies, the objective is also to move beyond the predominant focus on urban space that characterises critical contemporary engagements with Big Data. Smart technologies shape the rural just as much as the urban, and “smart farms” are just as fashionable as “smart cities.”

中文翻译:

监控农场:迈向大数据农业研究议程

如今的耕作依赖于不断增长的数据收集,传输和分析形式。想一想自动拖拉机和除草机器人,植入芯片的动物和带有内置传感器的地下基础设施,以及提供空中图像分析的无人机或卫星。尽管有这种发展,但是社会科学几乎完全忽略了由此产生的权力和控制问题。本篇文章对围绕智能农业问题的主要监视问题进行了初步回顾,以期概述有关农业领域大数据的制造,功能和行为的更广泛的研究议程。对于监视研究,目标还在于超越对城市空间的关注,该空间是当代与大数据的关键接触的特征。
更新日期:2018-10-12
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