What is cost-efficient phenotyping? Optimizing costs for different scenarios
What is cost-efficient phenotyping? Optimizing costs for different scenarios
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DOI：
10.1016/j.plantsci.2018.06.015
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发表时间：
2019-05-01
期刊：
影响因子：
5.2
通讯作者：
Tardieu, Francois
中科院分区：
文献类型：
--
作者：
Reynolds, Daniel;Baret, Frederic;Tardieu, Francois
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，我们首先回顾具有成本效益的成像设备和环境传感器，并提出投资和人力成本之间的权衡。然后，我们讨论各种现实世界场景中的成本结构。手持式低成本传感器适用于快速和不频繁的工厂诊断测量。在遗传或农艺学分析实验中，（i）主要成本来自植物处理和人力;（ii）每株植物/微区的总成本在使用无人机、手持式或自动化地面车辆的自动化平台或田间实验中相似;（iii）携带传感器的车辆的成本仅占总成本的5-26%。这些结论取决于上下文，特别是劳动力成本，表型的定量需求和天数可用于表型测量由于气候的限制。如果已经开发了管道，数据分析占总成本的10-20%。在管道开发的初始高成本和人工操作的劳动力成本之间存在权衡。总的来说，取决于背景和目标，“成本有效的”表型分析可能涉及低投资（“负担得起的表型分析”），或在传感器、车辆和管道方面的初始高投资，从而导致更高的质量和更低的运营成本。
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.