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什么是具有成本效益的表型分析?针对不同情况优化成本。

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

机构信息

Earlham Institute, Norwich Research Park, Norwich, NR4 7UH, UK.

INRA EMMAH - CAPTE, address, Avignon, France.

出版信息

Plant Sci. 2019 May;282:14-22. doi: 10.1016/j.plantsci.2018.06.015. Epub 2018 Jul 26.

DOI:10.1016/j.plantsci.2018.06.015
PMID:31003607
Abstract

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.

摘要

遥感和机器人技术的进步降低了表型分析的硬件成本。在这里,我们首先回顾了具有成本效益的成像设备和环境传感器,并提出了投资和人力成本之间的权衡。然后,我们讨论了各种实际情况下的成本结构。手持式低成本传感器适用于快速和不频繁的植物诊断测量。在用于遗传或农学分析的实验中,(i)主要成本来自于植物处理和人力;(ii)在配备机器人的平台或使用无人机、手持式或机器人地面车辆的田间试验中,每株/小区的总费用相似;(iii)携带传感器的车辆成本仅占总费用的 5-26%。这些结论取决于具体情况,特别是劳动力成本、表型需求的定量和由于气候限制可用于表型测量的天数。如果已经开发了数据处理管道,那么数据分析占总成本的 10-20%。在管道开发的初始高成本和手动操作的劳动力成本之间存在权衡。总的来说,根据具体情况和目标,“具有成本效益的”表型分析可能涉及投资低(“负担得起的表型分析”),或者在传感器、车辆和管道方面的初始高投资,这会带来更高的质量和更低的运营成本。

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