期刊
APPLICATIONS IN PLANT SCIENCES
卷 6, 期 3, 页码 -出版社
WILEY
DOI: 10.1002/aps3.1031
关键词
imaging; low-cost phenotyping; morphology; Raspberry Pi
资金
- Donald Danforth Plant Science Center
- National Science Foundation [IOS-1456796, IOS-1202682, EPSCoR IIA-1355406, IIA-1430427, IIA-1430428, MCB-1330562, DBI-1156581]
Premise of the StudyImage-based phenomics is a powerful approach to capture and quantify plant diversity. However, commercial platforms that make consistent image acquisition easy are often cost-prohibitive. To make high-throughput phenotyping methods more accessible, low-cost microcomputers and cameras can be used to acquire plant image data. Methods and ResultsWe used low-cost Raspberry Pi computers and cameras to manage and capture plant image data. Detailed here are three different applications of Raspberry Pi-controlled imaging platforms for seed and shoot imaging. Images obtained from each platform were suitable for extracting quantifiable plant traits (e.g., shape, area, height, color) en masse using open-source image processing software such as PlantCV. ConclusionsThis protocol describes three low-cost platforms for image acquisition that are useful for quantifying plant diversity. When coupled with open-source image processing tools, these imaging platforms provide viable low-cost solutions for incorporating high-throughput phenomics into a wide range of research programs.
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