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A Framework for Evaluating Field-Based, High-Throughput Phenotyping Systems: A Meta-Analysis.
1Department of Biological and Agricultural Engineering, North Carolina State University, Raleigh, NC 27695, USA. syoung2@ncsu.edu.
Developing turnkey field-based, high-throughput phenotyping (FB-HTP) systems is challenging. A new framework evaluates system complexity and utility, identifying bottlenecks in data handling, usability, and standardization for better FB-HTP solutions.
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Area of Science:
- Agricultural Engineering
- Plant Science
- System Engineering
Background:
- Field-based, high-throughput phenotyping (FB-HTP) systems offer advanced capabilities but face challenges in achieving turnkey deployment.
- Despite technological advancements and cost reductions, successful implementation of integrated FB-HTP solutions remains limited.
Purpose of the Study:
- To develop and apply a framework for evaluating the complexity and utility of FB-HTP systems.
- To identify key barriers and areas for improvement in the development and adoption of FB-HTP systems.
- To guide future research and development for more robust and user-friendly FB-HTP solutions.
Main Methods:
- A framework was developed to systematically evaluate FB-HTP systems.
- System factorization was performed, rating the complexity and utility of subsystems and overall systems.
- Ten case studies were analyzed using the framework to identify development and adoption barriers.
Main Results:
- The framework provides insights into trends and relationships within system complexity and utility factors.
- Identified bottlenecks include data handling and transfer, human-machine interaction, and lack of design standardization.
- Complexity and utility drivers need to be balanced for successful FB-HTP system development.
Conclusions:
- Further research is needed in data management, user interface design, and standardization for FB-HTP systems.
- The developed framework can assess existing and proposed FB-HTP systems to pinpoint areas for enhancement.
- Implementing this framework can optimize the development and deployment of effective FB-HTP solutions.