CyberSEES: Type2: Collaborative Research: SmartFarm - Research and Education for Sustainable Agriculture Practices

Cyber​​SEES：类型 2：协作研究：SmartFarm - 可持续农业实践的研究和教育

• 批准号: 1539586
• 负责人: Chandra Krintz
• 金额: $ 90万
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-10-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1539586&HistoricalAwards=false
• 关键词: CyberSEES; Type2; Collaborative; Research; SmartFarm

Ecological sustainability depends critically on the ability of world food production to manage increasingly limited natural resources (such as arable land and water) with new techniques that both enhance environmental stewardship and increase farm productivity. To make agriculture more productive and the productivity gains sustainable, growers are increasingly turning to environmental sensor measurement, data acquisition, and data analysis. To date, however, these tools have failed to achieve widespread use by smallholder agricultural concerns. Importantly, individual growers and ranchers are underserved by many recent advances in the commercial and research sectors that make data analytics consumable as simple "black box" end-user products. Current decision support offerings for these constituencies are variously limited, proprietary, complex, costly, require that growers relinquish control over their data, or are not widely available. This project therefore investigates a comprehensive research, educational, and outreach program called SmartFarm, which couples new scientific research in computer science, agronomics, and precision agriculture with novel outreach and educational pathways that enable our youth and communities to transform and ensure agriculture sustainability. The research will bring new computing technologies to growers that are easy to use, facilitate data privacy and control, and enable farm-focused, data-driven analysis and decision support that helps growers increase their yields sustainably. In addition, the educational and outreach plans will introduce technically adept youth, who are increasingly ecologically conscious, to the challenges and rewards associated with computer science and precision agricultural science so that they are adequately prepared and inspired to participate in the global challenge of increasing sustainable food production.To address the problem of sustainable food security and food safety, this project investigates unifying cyberinfrastructure and agriculture analytics to enable precision, agronomics-driven farming by individual growers unlike what is available today. The proposed system, called SmartFarm, integrates disparate environmental sensor technologies into a customized, open-source, cloud-based data appliance with new analytics that provide growers with a secure, easy to use, low-cost data analysis and decision support system. Using open-source private cloud platforms, this data appliance can be hosted at a range of scales including personal, private clouds on-farm, large-scale public clouds, or in some combination of the two. The research program will facilitate new knowledge in: (i) multi-analytic agricultural applications for farm control, dynamic decision support, and emergency response; (ii) self-managing, extensible private cloud systems; (iii) robust sensing and data acquisition techniques, application programming interfaces, and processing engines tailored to the needs of farmers and ranchers; and (iv) private and hybrid cloud software architectures for precision farming that are code and data compatible with public cloud industry standards. The outreach and education efforts will expose students to cross-disciplinary research and educational activities that train them as new agronomists in new technologists in precision agricultural.

生态可持续性取决于世界粮食生产的能力，他们采用新技术来管理越来越有限的自然资源（例如耕地和水），既可以增强环境管理并提高农场的生产率。 为了使农业提高生产力和生产率的可持续性，种植者越来越多地转向环境传感器的测量，数据获取和数据分析。但是，迄今为止，这些工具未能实现小农业农业问题的广泛使用。 重要的是，个人种植者和牧场主在商业和研究领域的许多最新进展都使数据分析不足，这些进步使数据分析作为简单的“黑匣子”最终用户产品。这些选区的当前决策支持产品具有各种限制，专有，复杂，昂贵的要求，要求种植者放弃对数据的控制，或者不广泛使用。 因此，该项目调查了一项名为SmartFarm的综合研究，教育和外展计划，该计划将计算机科学，农艺学和精确农业的新科学研究与新颖的外展和教育途径结合在一起，使我们的青年和社区能够改变并确保农业可持续性。这项研究将为易于使用，促进数据隐私和控制的种植者带来新的计算技术，并启用以农场为中心的，数据驱动的分析和决策支持，从而帮助种植者可持续提高其产量。 此外，教育和宣传计划将介绍越来越有生态意识的技术熟食青年，以与计算机科学和精确的农业科学相关的挑战和奖励，以便他们做出充分的准备和启发，以参与日益增加可持续粮食生产的全球挑战。与当今可用的不同，个人种植者以农艺学为导向的农业。 所提出的称为SmartFarm的系统将不同的环境传感器技术集成到定制的，开源的，基于云的数据设备中，这些数据设备与新的分析，可为种植者提供安全，易于使用的，低成本的数据分析和决策支持系统。 使用开源私有云平台，该数据设备可以托管在一系列范围内，包括个人，私有云农场，大规模的公共云或两者的某种组合。 该研究计划将促进新知识：（i）用于农场控制，动态决策支持和应急响应的多分析农业应用； （ii）自我管理，可扩展的私有云系统； （iii）强大的感应和数据采集技术，应用程序编程界面以及根据农民和牧场的需求量身定制的处理引擎； （iv）私有和混合云软件体系结构，用于精确农业，这些构造与公共云行业标准兼容的代码和数据。 宣传和教育工作将使学生接受跨学科的研究和教育活动，这些研究和教育活动在精确农业的新技术专家中培训新技术专家。