Using Cameras for Precise Measurement of Two-Dimensional Plant Features: CASS

Tabb, Amy; Holguín, Germán Andrés; Naegele, Rachel P.

doi:10.1007/978-1-0716-2537-8_10

Cited by 3 publications

(4 citation statements)

References 14 publications

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“…Although a high correlation between relative tuber area (estimated based upon calibration using a size standard) and gravimetric measurements of tuber size was observed in the A08241 population, this trend may not be as robust in other populations where tuber size exhibits greater variation along the z-axis, which cannot be quantified from the 2-dimensional images captured in this study. In the future, these platforms could potentially be improved by incorporating a repeating calibration pattern to improve measurement accuracy (Tabb et al, 2020) and multiple cameras (Tabb et al, 2019) or depth sensors to estimate object length along the z-axis Su et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

A scalable, low-cost phenotyping strategy to assess tuber size, shape, and the colorimetric features of tuber skin and flesh in potato breeding populations

Feldman

Park

Miller

et al. 2023

Preprint

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Tuber size, shape, colorimetric characteristics, and defect susceptibility are all factors that influence the acceptance of new potato cultivars. Despite the importance of these characteristics, our understanding of their inheritance is substantially limited by our inability to precisely measure these features quantitatively on the scale needed to evaluate breeding populations. To alleviate this bottleneck, we developed a low-cost, semi-automated workflow to capture data and measure each of these characteristics using machine vision. This workflow was applied to assess the phenotypic variation present within 189 F1 progeny of the A08241 breeding population. Our results provide an example of quantitative measurements acquired using machine vision methods that are reliable, heritable, and can be used to understand and select upon multiple traits simultaneously in structured potato breeding populations.

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Section: Discussionmentioning

confidence: 99%

A scalable, low-cost phenotyping strategy to assess tuber size, shape, and the colorimetric features of tuber skin and flesh in potato breeding populations

Feldman

Park

Miller

et al. 2023

Preprint

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“…2). A camera as scanner (Tabb et al 2022) was used to calibrate the camera for each image and allow for measurements to be computed from the image in millimeters. For pixel-to-millimeter conversion for the camera as scanner, the number was set at 3.…”

Section: Methodsmentioning

confidence: 99%

“…For pixel-to-millimeter conversion for the camera as scanner, the number was set at 3. The image was segmented into a grape cluster (white) and nongrape cluster (black) regions using intensity information from the ArUco tags (Tabb et al 2022). To account for any slight variation in the camera angle, the image was warped such that 3 pixels were equivalent to 1 mm and preliminarily segmentated.…”

Section: Methodsmentioning

confidence: 99%

Identification of Novel Quantitative Trait Loci Associated with Table Grape Fruit Quality Characteristics in a Segregating Population and Transferability of Existing Quality Markers

de Sousa Moreira,

Clark,

Tabb

et al. 2024

J. Amer. Soc. Hort. Sci.

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Grape (Vitis) production and fruit quality traits such as cluster size, berry shape, and timing of fruit development are key aspects when selecting cultivars for commercial production. Molecular markers for some, but not all, of these traits have been identified using biparental or association mapping populations. Previously identified markers were tested for transferability using a small (24 individual) test panel of commercially available grape cultivars. Markers had little to no ability to differentiate grape phenotypes based on the expected characteristics, except the marker for seedlessness. Using a biparental interspecific cross, 43 quantitative trait loci (QTLs) (previously identified and new genomic regions) associated with berry shape, number, size, cluster weight, cluster length, time to flower, veraison, and full color were detected. Kompetitive allele-specific polymerase chain reaction markers designed on newly identified QTLs were tested for transferability using the same panel. Transferability was low when use types were combined, but they were varied when use types were evaluated separately. A comparison of a 4-Mb region at the end of chromosome 18 revealed structural differences among grape species and use types. Table grape cultivars had the highest similarity in structure for this region (>75%) compared with other grape species and commodity types.

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“…The arUco patterns were 11.76 mm 2 . CAmera aS Scanner (Tabb et al 2019;Tabb 2020), a method for calibrating cameras, was used to convert the image from pixels with an unknown physical size to pixels with a per mm scaling, similar to the type of images given by a flatbed scanner (the scaling is 10 pixels per mm for this study). CAmera aS Scanner requires that a calibration pattern is in the scene and camera metadata is available.…”

Section: Automated Size Measurements Of Halyomorpha Halys (Stål) (Het...mentioning

confidence: 99%

Automated Size Measurements of Halyomorpha halys (Stål) (Heteroptera: Pentatomidae) with Simple Image-Based Methodology

Tabb

Elsensohn

Leskey

2022

Florida Entomologist

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Using Cameras for Precise Measurement of Two-Dimensional Plant Features: CASS

Cited by 3 publications

References 14 publications

A scalable, low-cost phenotyping strategy to assess tuber size, shape, and the colorimetric features of tuber skin and flesh in potato breeding populations

A scalable, low-cost phenotyping strategy to assess tuber size, shape, and the colorimetric features of tuber skin and flesh in potato breeding populations

Identification of Novel Quantitative Trait Loci Associated with Table Grape Fruit Quality Characteristics in a Segregating Population and Transferability of Existing Quality Markers

Automated Size Measurements of Halyomorpha halys (Stål) (Heteroptera: Pentatomidae) with Simple Image-Based Methodology

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