Young Sierra N
Department of Biological and Agricultural Engineering, North Carolina State University, Raleigh, NC 27695, USA.
Sensors (Basel). 2019 Aug 17;19(16):3582. doi: 10.3390/s19163582.
This paper presents a framework for the evaluation of system complexity and utility and the identification of bottlenecks in the deployment of field-based, high-throughput phenotyping (FB-HTP) systems. Although the capabilities of technology used for high-throughput phenotyping has improved and costs decreased, there have been few, if any, successful attempts at developing turnkey field-based phenotyping systems. To identify areas for future improvement in developing turnkey FB-HTP solutions, a framework for evaluating their complexity and utility was developed and applied to total of 10 case studies to highlight potential barriers in their development and adoption. The framework performs system factorization and rates the complexity and utility of subsystem factors, as well as each FB-HTP system as a whole, and provides data related to the trends and relationships within the complexity and utility factors. This work suggests that additional research and development are needed focused around the following areas: (i) data handling and management, specifically data transfer from the field to the data processing pipeline, (ii) improved human-machine interaction to facilitate usability across multiple users, and (iii) design standardization of the factors common across all FB-HTP systems to limit the competing drivers of system complexity and utility. This framework can be used to evaluate both previously developed and future proposed systems to approximate the overall system complexity and identify areas for improvement prior to implementation.
本文提出了一个用于评估系统复杂性和实用性以及识别基于实地的高通量表型分析（FB-HTP）系统部署中的瓶颈的框架。尽管用于高通量表型分析的技术能力有所提高且成本有所降低，但在开发交钥匙式的基于实地的表型分析系统方面，即使有成功的尝试，也是寥寥无几。为了确定在开发交钥匙式FB-HTP解决方案方面未来需要改进的领域，开发了一个评估其复杂性和实用性的框架，并将其应用于总共10个案例研究，以突出其开发和采用过程中的潜在障碍。该框架进行系统分解，对子系统因素以及整个FB-HTP系统的复杂性和实用性进行评级，并提供与复杂性和实用性因素内的趋势和关系相关的数据。这项工作表明，需要围绕以下领域开展更多的研发工作：（i）数据处理和管理，特别是从实地到数据处理管道的数据传输；（ii）改善人机交互以促进多个用户的可用性；（iii）对所有FB-HTP系统共有的因素进行设计标准化，以限制系统复杂性和实用性的相互竞争的驱动因素。该框架可用于评估先前开发的系统和未来提出的系统，以估算整体系统复杂性，并在实施前确定改进领域。
