What is cost-efficient phenotyping? Optimizing costs for different scenarios

Daniel Reynolds, Frederic Baret, Claude Welcker, Aaron Bostrom, Joshua Ball, Francesco Cellini, Argelia Lorence, Aakash Chawade, Mehdi Khafif, Koji Noshita, Mark Mueller-Linow, Ji Zhou, François Tardieu

研究成果: ジャーナルへの寄稿記事

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Progress in remote sensing and robotic technologies decreases the hardware costs of phenotyping. Here, we first review cost-effective imaging devices and environmental sensors, and present a trade-off between investment and manpower costs. We then discuss the structure of costs in various real-world scenarios. Hand-held low-cost sensors are suitable for quick and infrequent plant diagnostic measurements. In experiments for genetic or agronomic analyses, (i) major costs arise from plant handling and manpower; (ii) the total costs per plant/microplot are similar in robotized platform or field experiments with drones, hand-held or robotized ground vehicles; (iii) the cost of vehicles carrying sensors represents only 5–26% of the total costs. These conclusions depend on the context, in particular for labor cost, the quantitative demand of phenotyping and the number of days available for phenotypic measurements due to climatic constraints. Data analysis represents 10–20% of total cost if pipelines have already been developed. A trade-off exists between the initial high cost of pipeline development and labor cost of manual operations. Overall, depending on the context and objsectives, “cost-effective” phenotyping may involve either low investment (“affordable phenotyping”), or initial high investments in sensors, vehicles and pipelines that result in higher quality and lower operational costs.

元の言語英語
ページ(範囲)14-22
ページ数9
ジャーナルPlant Science
282
DOI
出版物ステータス出版済み - 5 2019

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Genetics
  • Agronomy and Crop Science
  • Plant Science

これを引用

Reynolds, D., Baret, F., Welcker, C., Bostrom, A., Ball, J., Cellini, F., ... Tardieu, F. (2019). What is cost-efficient phenotyping? Optimizing costs for different scenarios. Plant Science, 282, 14-22. https://doi.org/10.1016/j.plantsci.2018.06.015