2020
DOI: 10.1101/2020.07.31.231662
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GridFree: A Python Package of Image Analysis for Interactive Grain Counting and Measuring

Abstract: Grain characteristics, including kernel length, kernel width, and thousand kernel weight, are critical component traits for grain yield. Manual measurements and counting are expensive, forming the bottleneck for dissecting the genetic architecture of these traits toward ultimate yield improvement. High-throughput phenotyping methods have been developed by analyzing images of kernels. However, segmenting kernels from the image background and noise artifacts or from other kernels positioned in close proximity re… Show more

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Cited by 2 publications
(3 citation statements)
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“…The represented display threshold's depth, with a maximum of 255 units, is significantly different and it ultimately affects the analysis of the morphology of the individual boundary fractions of the image and can lead to errors in the final size of each seed, even in cases of correct and accurate scaling to ensure pixel conversion to real metric dimensions (cm and mm). However, similar conclusions regarding the general scanning of various objects were represented in a number of other studies (Broeke et al, 2015;Alomía et al, 2016;Zilbergleit & Temruk, 2017;Mariscal et al, 2019;Zhu et al, 2020;Hu & Zhang, 2020). The possibility of using this program for individual determination of individual morphological parameters of seeds at their interval distribution on the scanned surface has also been researched (Figure 7).…”
Section: Resultssupporting
confidence: 57%
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“…The represented display threshold's depth, with a maximum of 255 units, is significantly different and it ultimately affects the analysis of the morphology of the individual boundary fractions of the image and can lead to errors in the final size of each seed, even in cases of correct and accurate scaling to ensure pixel conversion to real metric dimensions (cm and mm). However, similar conclusions regarding the general scanning of various objects were represented in a number of other studies (Broeke et al, 2015;Alomía et al, 2016;Zilbergleit & Temruk, 2017;Mariscal et al, 2019;Zhu et al, 2020;Hu & Zhang, 2020). The possibility of using this program for individual determination of individual morphological parameters of seeds at their interval distribution on the scanned surface has also been researched (Figure 7).…”
Section: Resultssupporting
confidence: 57%
“…On the other hand, it should be understood, and many researchers note that the level of variation of seed material in size, weight characteristics, organoleptic characteristics (colour, surface character, etc.) is high (Marchi & Gomes-junior, 2017;Orandi et al, 2018;Brunes et al, 2019;ElMasry et al, 2019;Hu & Zhang, 2020;Pinheiro et al, 2020). The size of this variability depends on such technological factors as seed formation conditions in the interaction with the level of soil and additional mineral nutrition, the intensity of the seed filling process and hydrothermal conditions during filling (Abud et al, 2018;Araújo et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
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