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; 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.

该I-Corps项目的更广泛的影响/商业潜力是开发通过数据分析来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决策并降低整个农业价值链中的风险。 该项目通过建模和模拟现场选择和现场地理设计，重点关注高价值的特种作物，包括葡萄，啤酒花，大麻和药草。 还将考虑通过创建农业体系的数字化双胞胎来对齐和协调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算法以及根据历史和未来的环境条件评估特定葡萄品种拟合的算法，从而降低了现场选择的风险和多样性选择。该平台有可能将不同的活动集成在农场和农民中（例如，营销和供应链）。该项目将大大提高这项研究的商业潜力，从而对高价值，美国和全球范围内的特种作物产生影响。此I-Corps项目基于用于用于葡萄酒酿造商，葡萄种植者和葡萄园顾问的在线决策工具的软件基础设施的开发。在应用程序中利用了历史性，实时和预测天气数据来提供对现场的气候和环境分析，以及害虫和疾病模型的产出，以评估葡萄园中葡萄品种的风险。此外，基于地图，图和统计摘要信息的形式，基于土壤，地形和衍生信息产生站点评估和评估。尽管各种研究人员，政府机构和商业来源都存在许多害虫和疾病模型，但很少有应用将酿酒和葡萄园现场评估，地理设计和管理整合到一个连贯和自动化的平台中。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特征，新作物和新地理区域提供了强大的基础。拟议的技术解决方案纳入了多种纪律专业知识，以生产启动数据驱动的数字工具，以计划和决策。该奖项反映了NSF的法定任务，并使用基金会的智力优点和更广泛的影响评估审查标准，认为值得通过评估来获得支持。