Development and Validation of a Method for Measurement of Root Length in 2D Images

Maruyama, Teruo Matos; Name, Marcio Hosoya; Franco, Jaqueline Rissá; Falate, Rosane

doi:10.1109/tla.2018.8358677

Cited by 1 publication

(1 citation statement)

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“…Subsequently, an iteration routine for each object to add every dist for the object was generated. This sum was multiplied by a scale, K, equation 2, where scale, to obtain the image metadata, for distances in centimetres, is given by equation 3 and dpi is the image resolution in dots per inch (Name et al, 2014;Maruyama et al, 2018).…”

Section: Methodsmentioning

confidence: 99%

A computational method to assist evaluation of root length of soybean based on digital image processing

et al. 2019

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The evaluation of the root system is important for better understanding the effects of nutrient management on soil and plant nutri-tion. However, root system studies and culture are slow and show low accuracy. In this context, digital image processing may be an alternative. The objective of this research was to develop a computational method to assist evaluation of the soybean root growth. Initially, the free and open access software, available at: http://rm.deinfo.uepg.br/, was developed in Java platform with the OpenCV library supply through the plug-in JavaCV. To evaluate the software, copper wires with 10 mm, 20 mm, and 50 mm of length manually measured using callipers. They were scanned with a resolution of 300 dpi and then images were loaded in the software. Variation coefficients between 0.01 and 2.99 % were obtained. Subsequently, the samples of soybean roots were scanned and the results of developed software and Safira software were correlated with those from the line-intersect method. The determination coefficients (R² = 0.999) of the developed software, on average, were better than those obtained with Safira software (R² = 0.733), when compar-ing with the line-intersect method. Therefore, the proposed method was accurate for length measurements of soybean roots.

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Section: Methodsmentioning

confidence: 99%