Elements: Agricultural Cyber-infrastructure support for Field and Grid Modeling, and Runtime Decision-Making

该项目为精准农业开发科学驱动的建模和决策算法，以及相关的基于云的实施。该项目将通过开发更准确和更大规模的模型、数据收集，并最终开发农民可用于实时监测作物的软件基础设施，增加更有效农业系统的潜力。该项目源于可持续农业、传感器网络、决策科学、数据科学和机器学习方面的科学问题。主要的创新是使用不完整的数据应用基于网格的土壤参数，基于机器学习的时间序列分析，以及估计养分和灌溉的最佳投入组合的优化问题。这些应用程序可能会在精准农业社区中得到广泛使用。网络基础设施MyGeoHub是一项基于云的服务，用户可以通过网络浏览器访问并利用现有的基础设施。这项由高级网络基础设施办公室颁发的奖项由既定的激励竞争研究计划(EPSCoR)联合支持。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project develops science-driven modeling and decision-making algorithms for precision agriculture, with associated cloud-based implementations. This project would increase the potential for more efficient agricultural systems through the development of more accurate and larger scale models, data collection, and ultimately a software infrastructure that farmers could use for real-time monitoring of their crops. The project is derived from scientific questions in sustainable agriculture, sensor networks, decision sciences, data science, and machine learning. The primary innovations are applications of grid-based soil parameters using incomplete data, machine learning-based time series analysis, and optimization problems to estimate the optimal mix of inputs for nutrients and irrigation. These applications are likely to have wide usage among the precision agriculture community. The cyberinfrastructure, MyGeoHub, is a cloud-based service that users can access through web browsers and leverages an existing infrastructure.This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Established Program to Stimulate Competitive Research (EPSCoR).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.