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论文研究项目,该项目对精准农业进行了详细研究,这是一种以数字为媒介的农业方法。这一方法引起了社会和环境的迅速关注;它有望在未来几年塑造围绕气候变化、粮食安全以及数字技术和大数据的政治和文化影响的对话。精准农业有可能减轻农业对环境的影响,同时有助于为不断增长的世界人口增加粮食产量。然而,它可能会加速农业整合和自动化的进程,引发对劳动力和经济不平等的严重担忧。现有的关于精准农业的学术工作往往集中在技术问题上,而忽略了本研究所关注的社会文化和环境问题。因此,拟议的研究创造和推进了关于这种转变的社会,文化,政治和环境必然结果的知识,这些知识有助于塑造和突出精准农业的可能性和后果。它将为科学界和人文界提供新的数据和观点,同时参与有关技术,文化和环境的更大对话。该项目的主要目标是促进对精准农业的理解,这是一种利用数字传感和大数据分析的力量来评估和定制作物管理,牲畜和农场运营的方法。它试图确定精确农业是如何以及为什么发展的,以及它可能产生什么后果。总体目标是产生一个精确农业的经验接地的历史,对话语和历史分析与人种学实地考察在美国,印第安纳州和纽约两个不同的农业地区。研究者将采用多种方法,包括参与观察、访谈、档案研究和话语分析。研究数据将在投资于这种方法的农场、企业、大学和贸易组织收集。他将对精准农业进行细致入微的描述,展示精准农业是如何被设计、使用和理解的;该描述将有助于促进对数字技术在粮食和农业系统中的驱动因素和后果的理解。这项研究将有助于更广泛的社会目标,将其研究结果纳入有关数字技术,食品系统,自动化和生态的更大的设计,政策和文化讨论。

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
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Selma Sabanovic其他文献

Selma Sabanovic的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ 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

相似海外基金

REU Site: Controlled Environment Agriculture (CEAfREU)
REU 站点:受控环境农业 (CEAfREU)
  • 批准号:
    2349765
  • 财政年份:
    2024
  • 资助金额:
    $ 1.46万
  • 项目类别:
    Standard Grant
I-Corps: Intelligent Hydroponics Growing Platform for Sustainable Agriculture
I-Corps:可持续农业的智能水培种植平台
  • 批准号:
    2345854
  • 财政年份:
    2024
  • 资助金额:
    $ 1.46万
  • 项目类别:
    Standard Grant
Research Infrastructure: Mid-scale RI-1 (MI:IP): X-rays for Life Sciences, Environmental Sciences, Agriculture, and Plant sciences (XLEAP)
研究基础设施:中型 RI-1 (MI:IP):用于生命科学、环境科学、农业和植物科学的 X 射线 (XLEAP)
  • 批准号:
    2330043
  • 财政年份:
    2024
  • 资助金额:
    $ 1.46万
  • 项目类别:
    Cooperative Agreement
COUSIN: Crop Wild Relatives utilisation and conservation for sustainable agriculture
表弟:作物野生近缘种的利用和保护以实现可持续农业
  • 批准号:
    10090949
  • 财政年份:
    2024
  • 资助金额:
    $ 1.46万
  • 项目类别:
    EU-Funded
NSF Engines: North Dakota Advanced Agriculture Technology Engine
NSF 发动机:北达科他州先进农业技术发动机
  • 批准号:
    2315315
  • 财政年份:
    2024
  • 资助金额:
    $ 1.46万
  • 项目类别:
    Cooperative Agreement
In Search of Future Farmers: Comparative Research on Young People's Exit from Agriculture in Rural Indonesia, Japan and Nepal
寻找未来农民:印度尼西亚、日本和尼泊尔农村年轻人退出农业的比较研究
  • 批准号:
    23K22187
  • 财政年份:
    2024
  • 资助金额:
    $ 1.46万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Novel Biofertiliser for Sustainable Agriculture: Tackling Phosphorus Crisis
用于可持续农业的新型生物肥料:解决磷危机
  • 批准号:
    IM240100158
  • 财政年份:
    2024
  • 资助金额:
    $ 1.46万
  • 项目类别:
    Mid-Career Industry Fellowships
Rural Development and Community Resiliency Through Agriculture Heritage Tourism
通过农业遗产旅游促进农村发展和社区复原力
  • 批准号:
    23K21819
  • 财政年份:
    2024
  • 资助金额:
    $ 1.46万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Arboricrop: next generation agriculture using real-time information from trees crops
Arboricrop:利用树木作物实时信息的下一代农业
  • 批准号:
    10087410
  • 财政年份:
    2024
  • 资助金额:
    $ 1.46万
  • 项目类别:
    Collaborative R&D
Advancing Controlled Environment Agriculture (CEA) with Dynamic LED Lighting Systems and Artificial Intelligence
利用动态 LED 照明系统和人工智能推进受控环境农业 (CEA)
  • 批准号:
    BB/Z514330/1
  • 财政年份:
    2024
  • 资助金额:
    $ 1.46万
  • 项目类别:
    Research Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了