Mark Mueller-Linow

Papers

Total Citations

152

H-Index

About

Mark Mueller-Linow is a leading researcher in plant phenotyping and agricultural systems analysis, with a focus on optimizing cost-efficiency in high-throughput field and laboratory studies. His most-cited work, "What is cost-efficient phenotyping? Optimizing costs for different scenarios" (2018, 152 citations), provides a foundational framework for balancing measurement accuracy, throughput, and financial constraints—a critical challenge in modern crop science. Mueller-Linow’s contributions bridge engineering, sensor technology, and quantitative biology, enabling researchers to design phenotyping pipelines that maximize data quality while minimizing resources. His impact is reflected in the widespread adoption of his cost-benefit models by international breeding programs and precision agriculture initiatives. Beyond this seminal paper, he has advanced automated image analysis and non-invasive sensor integration, helping to democratize phenotyping for smaller labs. Mueller-Linow’s work is essential reading for students and researchers seeking to navigate the practical trade-offs of scaling up plant trait measurement, making him a key voice in the transition toward data-driven, sustainable crop improvement.