Measuring Leaf Area in Soy Plants by HSI Color Model Filtering and Mathematical Morphology

Benalcázar, Marco E.; Padín, J; Brun, Marcel; Pastore, Juan Ignacio; Ballarin, Virginia L.; Peirone, Laura Soledad; Pereyra, Gabriel

doi:10.1088/1742-6596/332/1/012034

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…Furbank and Tester 2011), but image analysis software is not a component that contributes largely to the total cost of phenotyping systems. In our case, an image analysis pipeline was developed specifically designed for soybean plants (Benalcázar et al 2011), but the systems allows the use of other image analysis tools. In addition to commercial packages or custom-made solutions, there are also open-access options such as HTPheno, an image analysis pipeline for plant phenotyping based on the open-source ImageJ program (Hartmann et al 2011).…”

Section: Discussionmentioning

confidence: 99%

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GlyPh: a low-cost platform for phenotyping plant growth and water use

Irujo

Gasco

Peirone

et al. 2012

Functional Plant Biol.

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Breeding drought-tolerant crop varieties with higher water use efficiency could help maintain food supply to a growing population and save valuable water resources. Fast and accurate phenotyping is currently a bottleneck in the process towards attaining this goal, as available plant phenotyping platforms have an excessive cost for many research institutes or breeding companies. Here we describe a simple and low-cost, automatic platform for high-throughput measurement of plant water use and growth and present its utilisation to assess the drought tolerance of two soybean genotypes. The platform allows the evaluation of up to 120 plants growing in individual pots. A cart moving in only one direction carries the measuring and watering devices. Watering and measurement routines allow the simulation of multiple water regimes for each plant individually and indicate the timing of measurement of soil water content and image capture for growth estimation. Water use, growth and water use efficiency were measured in two experiments with different water scenarios. Differences in water use efficiency between genotypes were detected only in some treatments, emphasising the importance of phenotyping platforms to evaluate a genotype’s phenotype under a broad range of conditions in order to capture valuable differences, minimising the chance of artefacts and increasing precision of measurements.

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Section: Discussionmentioning

confidence: 99%

“…Image analysis for estimating leaf area is performed using an algorithm that has been tested with soybean plants (Fig. 1f, g; Benalcázar et al 2011).…”

Section: Platform Descriptionmentioning

confidence: 99%

GlyPh: a low-cost platform for phenotyping plant growth and water use

Irujo

Gasco

Peirone

et al. 2012

Functional Plant Biol.

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“…The point cloud is a set of data points comprising coordinates in a space. Benalcázar et al (2011) extracted soybean leaves from a 2D image, including the background, using the hue, saturation, intensity (HSI) color model, and calculated the leaf area using the number of leaf pixels [6]. Casadesús and Villegas (2014) estimated the LAI and dry weight of wheat by calculating the ratio of green pixels from multiple images [7].…”

Section: Introductionmentioning

confidence: 99%

Monitoring the Growth and Yield of Fruit Vegetables in a Greenhouse Using a Three-Dimensional Scanner

Ohashi

Ishigami

Gotō

2020

Sensors

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Monitoring the growth of fruit vegetables is essential for the automation of cultivation management, and harvest. The objective of this study is to demonstrate that the current sensor technology can monitor the growth and yield of fruit vegetables such as tomato, cucumber, and paprika. We estimated leaf area, leaf area index (LAI), and plant height using coordinates of polygon vertices from plant and canopy surface models constructed using a three-dimensional (3D) scanner. A significant correlation was observed between the measured and estimated leaf area, LAI, and plant height (R2 > 0.8, except for tomato LAI). The canopy structure of each fruit vegetable was predicted by integrating the estimated leaf area at each height of the canopy surface models. A linear relationship was observed between the measured total leaf area and the total dry weight of each fruit vegetable; thus, the dry weight of the plant can be predicted using the estimated leaf area. The fruit weights of tomato and paprika were estimated using the fruit solid model constructed by the fruit point cloud data extracted using the RGB value. A significant correlation was observed between the measured and estimated fruit weights (tomato: R2 = 0.739, paprika: R2 = 0.888). Therefore, it was possible to estimate the growth parameters (leaf area, plant height, canopy structure, and yield) of different fruit vegetables non-destructively using a 3D scanner.

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Method of tree-ring image analysis for dendrochronology

et al. 2012

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An improved tree-ring dating method able to detect and count tree-ring boundaries from images of wood cross sections is introduced. It can also be developed to analyze tree-ring features in future research. This proposed method first uses hue saturation intensity (HSI) color to get rid of the blue background to obtain the region of interest, the wood section. Then, using the watershed method and the window method, sapwood and heartwood regions are segmented, and the segmented image is dichotomized by the method, followed by cross calibrated miss detection correction to add missed rings. In order to reduce the fallout ratio, a method based on distance limitations is also utilized. In this way, the total number of the tree-rings are finally counted. A pilot study was conducted using seven images from an online library and five scanned images of Pinus massoniana wood discs provided by Zhejiang A&F University. Experimental results show that this method can be used to count ring numbers even when the color difference of sapwood and heartwood is distinct, and is able to correct the miss and fallout detection errors, increasing the accuracy of tree-ring dating.

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Measuring Leaf Area in Soy Plants by HSI Color Model Filtering and Mathematical Morphology

Cited by 3 publications

References 6 publications

GlyPh: a low-cost platform for phenotyping plant growth and water use

GlyPh: a low-cost platform for phenotyping plant growth and water use

Monitoring the Growth and Yield of Fruit Vegetables in a Greenhouse Using a Three-Dimensional Scanner

Method of tree-ring image analysis for dendrochronology

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