I-Corps: A modeling-simulation-visualization framework for decision making in agricultural systems using data analytics and visualization

I-Corps：使用数据分析和可视化在农业系统中进行决策的建模-模拟-可视化框架

• 批准号: 2106633
• 负责人: Peter Sforza
• 金额: $ 5万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-02-01 至 2021-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2106633&HistoricalAwards=false
• 关键词: Corps; modeling; simulation; visualization; framework

The broader impact/commercial potential of this I-Corps project is the development of technology for improving the efficiency and productivity of agricultural systems through data analytics. The technology and framework addresses issues relevant to smart farming including the use of digital data and technology to improve decisions and reduce risk throughout the entire agricultural value chain. The project focuses on high value specialty crops including grapes, hops, hemp, and medicinal herbs, through modeling and simulation of site selection and site geodesign. The operations of the farm through the creation of a digital twin of the agricultural system for alignment and harmonization of the management of physical and digital assets and processes will also be considered. The technology reduces risk of site and variety selection in the US through assimilation of data related to soil, climate, and topography alongside algorithms that evaluate specific grape varietal fit to the site based on historic and future environmental conditions. The platform has the potential to integrate disparate activities on-farm and off-farm (e.g., marketing and supply chain). The project will greatly enhance the commercial potential for this research to make an impact in high value, specialty crops in the US and worldwide.This I-Corps project is based on the development of software infrastructure for on-line decision support tools for wine makers, grape growers and vineyard consultants. Historic, real-time, and forecast weather data is utilized in the application to provide a climatological and environmental analysis of a site, as well as pest and disease model outputs to evaluate risk for the grape varieties in the vineyard. In addition, a site assessment and evaluation is produced based on soils, topography and derived information in the form of maps, graphs and statistical summary information. While numerous pest and disease models exist from various researchers, government agencies and commercial sources, there are few applications that integrate winemaking and vineyard site assessment, geodesign and management into a coherent and automated platform. The scientific basis for the multi-criteria decision analysis included in the applications provide a robust foundation for scaling the application to new features, new crops, and new geographic areas. The proposed technology solution incorporates multiple disciplinary expertise to produce start-of-the-art data driven digital tools for planning and decision making.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

I-Corps项目的更广泛影响/商业潜力是通过数据分析开发提高农业系统效率和生产力的技术。该技术和框架解决了与智能农业相关的问题，包括使用数字数据和技术来改善整个农业价值链的决策并降低风险。 该项目的重点是高价值的特色作物，包括葡萄，啤酒花，大麻和药材，通过建模和模拟的选址和网站的地理设计。 还将考虑通过创建农业系统的数字孪生模型来实现农场的运营，以协调和统一物理和数字资产和流程的管理。该技术通过同化与土壤、气候和地形相关的数据，以及基于历史和未来环境条件评估特定葡萄品种对该地点的适应性的算法，降低了美国葡萄园选址和品种选择的风险。该平台有可能整合农场和农场外的不同活动（例如，营销和供应链）。该项目将极大地提高这项研究的商业潜力，在美国和世界范围内对高价值的特种作物产生影响。这个I-Corps项目是基于为葡萄酒制造商、葡萄种植者和葡萄园顾问开发在线决策支持工具的软件基础设施。该应用程序利用历史、实时和预测天气数据，提供场地的气候和环境分析，以及病虫害模型输出，以评估葡萄园中葡萄品种的风险。此外，还根据土壤、地形和以地图、图表和统计摘要资料形式得出的资料，对场址进行评估和评价。虽然来自不同研究人员、政府机构和商业来源的病虫害模型数量众多，但将酿酒和葡萄园场地评估、地理设计和管理整合到一个连贯的自动化平台中的应用程序却很少。应用程序中包含的多标准决策分析的科学基础为将应用程序扩展到新功能、新作物和新地理区域提供了坚实的基础。建议的技术解决方案结合了多个学科的专业知识，为规划和决策提供最先进的数据驱动数字化工具。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。