What is cost-efficient phenotyping? Optimizing costs for different scenarios. (May 2019)

• Record Type: Journal Article
• Authors: Reynolds, Daniel; Baret, Frederic; Welcker, Claude; Bostrom, Aaron; Ball, Joshua; Cellini, Francesco; Lorence, Argelia; Chawade, Aakash; Khafif, Mehdi; Noshita, Koji; Mueller-Linow, Mark; Zhou, Ji; Tardieu, François
• Is Part Of: Plant science. Volume 282(2019)
• Page Start: 14
• Page End: 22
• Publication Date: 2019-05
• Subjects: Phenotyping -- Phenomics -- Cost -- Imaging -- Information system -- Affordable; Botany -- Periodicals; Botanique -- Périodiques; 580
• DOI: 10.1016/j.plantsci.2018.06.015
• Languages: English
• ISSNs: 0168-9452

Abstract

Highlights: New technologies considerably reduce the costs of sensors and automated vehicles. Low investment in sensors, vehicles or pipelines present trade-offs with labor costs. Plant/plot handling and labor costs represent the major proportion of costs in phenotyping experiments. The costs of high-throughput experiments in the field and in automated platforms is similar regardless of vehicles. The development of software applications (e.g. imaging, analyses, models, information system) is a major part of costs. 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.