Legal structures may form barriers to, or enablers of, adoption of precision agriculture management with small autonomous agricultural robots. This article develops a conceptual regulatory framework for small autonomous agricultural robots, from a practical, self-contained engineering guide perspective, sufficient to get working research and commercial agricultural roboticists quickly and easily up and running within the law. The article examines the liability framework, or rather lack of it, for agricultural robotics in EU, and their transpositions to UK law, as a case (...) study illustrating general international legal concepts and issues. It examines how the law may provide mitigating effects on the liability regime, and how contracts can be developed between agents within it to enable smooth operation. It covers other legal aspects of operation such as the use of shared communications resources and privacy in the reuse of robot-collected data. Where there are some grey areas in current law, it argues that new proposals could be developed to reform these to promote further innovation and investment in agricultural robots. (shrink)

There has been much scholarly attention to definitions of the term “scientific instrument.” Rather more mundane work by makers, curators, and users is devoted to instruments' maintenance and repair. A familiar argument holds that when a tool breaks, its character and recalcitrance become evident. Much can be gained from historical study of instruments' breakages, defects, and recuperation. Maintenance and repair technologies have been a vital aspect of relations between makers and other users. Their history illuminates systems of instruction, support, and (...) abuse. These systems were, for example, evident in the development of astronomical instruments around 1800 within and beyond the European sphere. Episodes from that milieu are used to explore how instrument users sought autonomy, how instruments' mutable character was defined, and how judgments of instruments' failure or success were ever secured. (shrink)

This paper critiques the so-called “Green Revolution” as a political myth of averted famine. A “political myth,” among other functions, reflects a narrative structure that characterizes understandings of causality between policy action and outcome. As such, the details of a particular political myth elevate certain policy options over others. One important narrative strand of the political myths of the Green Revolution is a story of averted famine: in the 1950s and 1960s, scientists predicted a global crisis to emerge in the (...) 1970s and beyond, created by a rapidly growing global population that would cause global famine as food supplies would not keep up with demand. The narrative posits that an intense period of technological innovation in agricultural productivity led to increasing crop yields which led to more food being produced, and the predicted crisis thus being averted. The fact that the world did not experience a global famine in the 1970s is cited as evidence in support of the narrative. Political myths need not necessarily be supported by evidence, but to the extent that they shape understandings of cause and effect in policymaking, political myths which are not grounded in evidence risk misleading policymakers and the public. We argue a political myth of the Green Revolution focused on averted famine is not well grounded in evidence and thus has potential to mislead to the extent it guides thinking and action related to technological innovation. We recommend an alternative narrative: The Green Evolution, in which sustainable improvements in agricultural productivity did not necessarily avert a global famine, but nonetheless profoundly shaped the modern world. More broadly, we argue that one of the key functions of the practice of technology assessment is to critique and to help create the political myths that preserve an evidence-grounded basis for connecting the cause and effect of policy action and practical outcomes. (shrink)

Universal, scientific knowledge emerges from research practices. Scientists tinker with and align local conditions to produce scientific knowledge. Research equipment and scientific instruments are essential tools for knowledge production. Scientists differ, however, in their ability to handle these material resources of research. One type of scientist, who also represents a way of handling resources, is referred to by field scientists as a "gadget-man." Drawing upon a participant observation study of a marine labora tory in the Caribbean and a study in (...) which the author traced the development of photographic identification of cetacean, this article characterizes "gadget-scientists" in their research quest for scientific knowledge. (shrink)

Recent technological and methodological changes in farming have led to an emerging set of claims about the role of digital technology in food production. Known as precision agriculture, the integration of digital management and surveillance technologies in farming is normatively presented as a revolutionary transformation. Proponents contend that machine learning, Big Data, and automation will create more accurate, efficient, transparent, and environmentally friendly food production, staving off both food insecurity and ecological ruin. This article contributes a critique of these rhetorical (...) and discursive claims to a growing body of critical literature on precision agriculture. It argues precision agriculture is less a revolution than an evolution, an effort to shore up and intensify the conventional farming system responsible for generating many of the social and environmental problems precision agriculture is presented as solving. While precision agriculture advocates portray it as a radical, even democratic epistemological break with the past, this paper locates truth claims surrounding datafication and algorithmic control in farming within deeper historical contexts of the capitalist rationalization of production and efforts to quantify and automate physical and mental labor. Abjuring the growing cultural tendency to treat algorithmic systems as revolutionary in favor of social and historical dimensions of precision agriculture, can help re-frame the discussion about its design and use around real, socially and ecologically oriented change in farming, and so ensure that the possibilities and benefits of precision agriculture are as evenly and effectively shared as possible. (shrink)

STS research has devoted relatively little attention to the promotion and reception of science and technology by non-scientific actors and institutions. One consequence is that the relationship of science and technology to political power has tended to remain undertheorized. This article aims to fill that gap by introducing the concept of sociotechnical imaginaries. Through a comparative examination of the development and regulation of nuclear power in the US and South Korea, the article demonstrates the analytic potential of the imaginaries concept. (...) Although nuclear power and nationhood have long been imagined together in both countries, the nature of those imaginations has remained strikingly different. In the US, the state’s central move was to present itself as a responsible regulator of a potentially runaway technology that demands effective containment. In South Korea, the dominant imaginary was of atoms for development which the state not only imported but incorporated into its scientific, technological and political practices. In turn, these disparate imaginaries have underwritten very different responses to a variety of nuclear shocks and challenges, such as Three Mile Island (TMI), Chernobyl, and the spread of the anti-nuclear movement. (shrink)

This paper explores how knowledge is exchanged between agricultural advisors and farmers in the context of sustainable farming practices in England. Specifically the paper examines the nature of the knowledge exchange at the encounters between one group of advisors, agronomists, and farmers. The promotion of best management practices, which are central to the implementation of sustainable agricultural policies in England, provide the empirical context for this study. The paper uses the notion of expert and facilitative approaches as a conceptual framework (...) for analyzing knowledge exchange encounters between agronomists and farmers. Data were derived from semi-structured interviews with 31 agronomists and 17 farmers, in the context of three initiatives promoting a range of best management practices including (a) targeted use of nitrogen (N), (b) use of nutrients within manure, and (c) management practices to improve soil structure. The interviews revealed that, although many agronomist–farmer knowledge exchange encounters are characterized by an imbalance of power, distrust, and the divergence of knowledge, other encounters provide a platform for the facilitation of farmer learning in their transition to more sustainable practices. (shrink)

Smart farming has largely been driven by productivity and efficiency aims, but there is an increasing awareness of potential socio-ethical challenges. The responsible research and innovation approach aims to address such challenges but has had limited application in smart farming contexts. Using smart dairying research and development in New Zealand as a case study, we examine the extent to which principles of RRI have been applied in NZ smart dairying development and assess the broader lessons for RRI application in smart (...) farming. We draw on insights from: a review of research on dairy technology use in NZ; interviews with smart dairying stakeholders; and the application of an analytical framework based on RRI dimensions. We conclude that smart dairying R&D and innovation activities have focused on technology development and on-farm use without considering socio-ethical implications and have excluded certain actors such as citizens and consumers. This indicates that readiness to enact RRI in this context is not yet optimal, and future RRI efforts require leadership by government or dairy sector organisations to fully embed RRI principles in the guidelines for large R&D project design. More broadly, enacting RRI in smart farming requires initial identification of RRI readiness in a given sector or country and devising a roadmap and coherent project portfolio to support capacity building for enacting RRI. Additionally, methods for operationalising RRI must be adapted to the context of the national or sectoral innovation system in which smart farming is being developed. (shrink)

Smart farming has largely been driven by productivity and efficiency aims, but there is an increasing awareness of potential socio-ethical challenges. The responsible research and innovation approach aims to address such challenges but has had limited application in smart farming contexts. Using smart dairying research and development in New Zealand as a case study, we examine the extent to which principles of RRI have been applied in NZ smart dairying development and assess the broader lessons for RRI application in smart (...) farming. We draw on insights from: a review of research on dairy technology use in NZ; interviews with smart dairying stakeholders; and the application of an analytical framework based on RRI dimensions. We conclude that smart dairying R&D and innovation activities have focused on technology development and on-farm use without considering socio-ethical implications and have excluded certain actors such as citizens and consumers. This indicates that readiness to enact RRI in this context is not yet optimal, and future RRI efforts require leadership by government or dairy sector organisations to fully embed RRI principles in the guidelines for large R&D project design. More broadly, enacting RRI in smart farming requires initial identification of RRI readiness in a given sector or country and devising a roadmap and coherent project portfolio to support capacity building for enacting RRI. Additionally, methods for operationalising RRI must be adapted to the context of the national or sectoral innovation system in which smart farming is being developed. (shrink)

We describe how the set of tools, practices, and social relations known as “precision agriculture” is defined, promoted, and debated. To do so, we perform a critical discourse analysis of popular and trade press websites. Promoters of precision agriculture champion how big data analytics, automated equipment, and decision-support software will optimize yields in the face of narrow margins and public concern about farming’s environmental impacts. At its core, however, the idea of farmers leveraging digital infrastructure in their operations is not (...) new, as agronomic research in this vein has existed for over 30 years. Contemporary discourse in precision ag tends to favour emerging digital technologies themselves over their embeddedness in longstanding precision management approaches. Following several strands of science and technology studies research, we explore what rhetorical emphasis on technical innovation achieves, and argue that this discourse of novelty is a reinvention of precision agriculture in the context of the growing “smart” agricultural economy. We overview six tensions that remain unresolved in this promotional rhetoric, concerning the definitions, history, goals, adoption, uses, and impacts of precision agriculture. We then synthesize these in a discussion of the extent to which digital tools are believed to displace farmer decision-making and whether digital agriculture addresses the biophysical heterogeneity of farm landscapes or land itself has become an “experimental technology”—a way to advance the general development of artificial intelligence. This discussion ultimately helps us name a larger dilemma: that the smart agricultural economy is perhaps less about supporting land and its stewards than promising future tech and profits. (shrink)