Precision Agriculture and Governing Nature

精准农业与治理自然

基本信息

  • 批准号:
    1755078
  • 负责人:
  • 金额:
    $ 1.46万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-02-01 至 2020-01-31
  • 项目状态:
    已结题

项目摘要

This award supports a doctoral dissertation research project that undertakes a detailed study of precision agriculture, a digitally mediated approach to farming. That approach is of rapidly growing social and environmental concern; it promises to shape conversations around climate change, food security, and the political and cultural effects of digital technology and big data in years to come. Precision agriculture has the potential to mitigate the environmental effects of farming while helping to increase food production for a growing world population. However, it will likely accelerate the processes of farm consolidation and automation, raising serious concerns regarding labor and economic inequality. Existing scholarly work on precision agriculture tends to focus on technical problems to the exclusion of the socio-cultural and environmental issues this study focuses on. The proposed research therefore creates and advances knowledge regarding the social, cultural, political, and environmental corollaries of this transformation, knowledge that helps shape and highlight the possibilities and consequences of precision agriculture. It will contribute new data and perspectives of relevance to both the scientific and humanities communities while participating in larger conversations about technology, culture, and the environment. The primary objective of this project is to advance understanding of precision agriculture, an approach to farming leveraging the power of digital sensing and big data analytics to evaluate and customize crop management, livestock, and farm operations in extreme detail. It seeks to determine how and why precision agriculture developed, and what consequences is it likely to have. The overarching goal is to produce an empirically grounded history of precision agriculture that pairs discursive and historical analysis with ethnographic fieldwork in two distinct agricultural regions of the United States, Indiana and New York. The researcher will use multiple methods including participant observation, interviews, archival research and discourse analysis. Research data will be gathered at farms, businesses, universities and trade organizations invested in this approach. He will generate a granular and critically-informed account of precision agriculture that shows how precision agriculture is being designed, used, and understood; the account will, in turn, serve to advance understanding of the drivers and consequences of digital technology in food and farming systems. The research will contribute to broader social goals by folding its findings into larger design, policy, and cultural discussions regarding digital technology, food systems, automation, and ecology.
该奖项支持一个博士学位论文研究项目,该项目对精确农业进行了详细的研究,这是一种以数字方式介导的农业方法。这种方法是迅速发展的社会和环境问题;它有望在未来几年中围绕气候变化,粮食安全以及数字技术和大数据的政治和文化影响塑造对话。精密农业有可能减轻农业的环境影响,同时帮助增加不断增长的世界人口的粮食生产。但是,它可能会加速农场合并和自动化的过程,从而引起人们对劳动和经济不平等的严重关注。现有关于精确农业的学术研究倾向于将其关注的社会文化和环境问题排除在外。因此,拟议的研究创造了有关这种转变的社会,文化,政治和环境推论的知识,有助于塑造和突出精确农业的可能性和后果的知识。它将为科学和人文社区提供新的数据和相关性,同时参与有关技术,文化和环境的更大对话。该项目的主要目的是提高人们对精确农业的了解,这是一种耕种的方法,利用数字传感和大数据分析的力量来评估和自定义作物管理,牲畜和农场业务极为详细。它试图确定精确农业发展的方式以及为什么会产生什么后果。总体目标是生产精确农业的经验基础,在美国,印第安纳州和纽约的两个不同的农业地区将话语和历史分析与民族志实地调查结合。研究人员将使用多种方法,包括参与者观察,访谈,档案研究和话语分析。研究数据将收集到用于这种方法的农场,企业,大学和贸易组织。他将产生精确农业的颗粒状且具有批判性的说明,以显示精确农业的设计,使用和理解。反过来,该帐户将有助于提高对食品和农业系统中数字技术的驱动因素和后果的了解。这项研究将通过将其发现折叠成有关数字技术,食品系统,自动化和生态的更大设计,政策和文化讨论,从而为更广泛的社会目标做出贡献。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The combine will tell the truth: On precision agriculture and algorithmic rationality
联合收割机会说出真相:论精准农业与算法合理性
  • DOI:
    10.1177/2053951719849444
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    8.5
  • 作者:
    Miles, Christopher
  • 通讯作者:
    Miles, Christopher
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Selma Sabanovic其他文献

Selma Sabanovic的其他文献

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{{ truncateString('Selma Sabanovic', 18)}}的其他基金

CHS: Large: Collaborative Research: Participatory Design and Evaluation of Socially Assistive Robots for Use in Mental Health Services in Clinics and Patient Homes
CHS:大型:协作研究:用于诊所和患者家庭心理健康服务的社交辅助机器人的参与式设计和评估
  • 批准号:
    1900683
  • 财政年份:
    2019
  • 资助金额:
    $ 1.46万
  • 项目类别:
    Standard Grant
FW-HTF-P: The Future Matrix of Care: Communities, Networks, and Technologies
FW-HTF-P:未来的护理矩阵:社区、网络和技术
  • 批准号:
    1928547
  • 财政年份:
    2019
  • 资助金额:
    $ 1.46万
  • 项目类别:
    Standard Grant
NRT: Interdisciplinary Training in Complex Networks and Systems
NRT:复杂网络和系统的跨学科培训
  • 批准号:
    1735095
  • 财政年份:
    2017
  • 资助金额:
    $ 1.46万
  • 项目类别:
    Standard Grant
CHS: Small: Applying Intergroup Psychology to Overcome Barriers in Human-Robot Interaction
CHS:小:应用群际心理学克服人机交互中的障碍
  • 批准号:
    1617611
  • 财政年份:
    2016
  • 资助金额:
    $ 1.46万
  • 项目类别:
    Standard Grant
Collaborative Research: ITEST-Strategies: Human-Centered Robotics Experiences for Exploring Engineering, Computer Science, and Society
合作研究:ITEST 策略:以人为本的机器人经验,探索工程、计算机科学和社会
  • 批准号:
    1433414
  • 财政年份:
    2014
  • 资助金额:
    $ 1.46万
  • 项目类别:
    Standard Grant
EAGER: Cultural models in social robotics - Comparative studies with users in the US and Japan
EAGER:社交机器人中的文化模型 - 与美国和日本用户的比较研究
  • 批准号:
    1143712
  • 财政年份:
    2011
  • 资助金额:
    $ 1.46万
  • 项目类别:
    Standard Grant

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  • 批准号:
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  • 批准号:
  • 批准年份:
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  • 资助金额:
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开发减缓气候变化的水稻农业有机质水管理综合模型
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