Application of ImageJ Software in the assessment of flowering Intensity and growth Vigor of Pear Trees

The study evaluated the possibility of using the image acquisition and processing method with ImageJ software for estimating growth vigor and flowering intensity of ‘Conference’ pear trees. For assessing flowering intensity, manual counting of flower clusters and taking of photographs of the trees w...

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Main Authors: Treder Waldemar, Klamkowski Krzysztof, Tryngiel-Gać Anna, Wójcik Katarzyna
Format: Article
Language:English
Published: Sciendo 2021-12-01
Series:Journal of Horticultural Research
Subjects:
Online Access:https://doi.org/10.2478/johr-2021-0017
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author Treder Waldemar
Klamkowski Krzysztof
Tryngiel-Gać Anna
Wójcik Katarzyna
author_facet Treder Waldemar
Klamkowski Krzysztof
Tryngiel-Gać Anna
Wójcik Katarzyna
author_sort Treder Waldemar
collection DOAJ
description The study evaluated the possibility of using the image acquisition and processing method with ImageJ software for estimating growth vigor and flowering intensity of ‘Conference’ pear trees. For assessing flowering intensity, manual counting of flower clusters and taking of photographs of the trees were conducted at full bloom. Tree vigor was estimated by manually measuring the total length of the central leader and shoots of individual trees. The trees were photographed from the same distance using a hand-held camera. The calibration model for assessing the vigor or flowering of trees by image analysis was based on measurements and photographs taken for nine selected trees differing in the total length of shoots or in the number of flower clusters. Then, a quality assessment of the model was carried out on 26 nonselected trees. Image processing was performed using ImageJ software. High regression coefficients were obtained between the surface area of petals measured on the photographs and the number of inflorescences counted (r2 = 0.98); however, observations carried out in the following year indicate the need for individual calibration of estimation models in each evaluation season. Subsequently, the quality of estimating the flowering intensity of pear trees was assessed using a previously determined calibration model. Mean absolute percentage error (MAPE) values ranged from 14.0% to 21.8%, depending on the measurement time. In the assessment of tree growth vigor, a high correlation (r2 = 0.98) was also obtained between the actual length of shoots measured individually for each tree and the values obtained by analyzing the photographic image, where the MAPE error was 12.9%.
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spelling doaj.art-c9f6935612bc467b8954b4c9356ad4262022-12-22T03:03:13ZengSciendoJournal of Horticultural Research2353-39782021-12-01292859410.2478/johr-2021-0017Application of ImageJ Software in the assessment of flowering Intensity and growth Vigor of Pear TreesTreder Waldemar0Klamkowski Krzysztof1Tryngiel-Gać Anna2Wójcik Katarzyna3The National Institute of Horticultural Research, Konstytucji 3 Maja 1/3, 96-100Skierniewice, PolandThe National Institute of Horticultural Research, Konstytucji 3 Maja 1/3, 96-100Skierniewice, PolandThe National Institute of Horticultural Research, Konstytucji 3 Maja 1/3, 96-100Skierniewice, PolandThe National Institute of Horticultural Research, Konstytucji 3 Maja 1/3, 96-100Skierniewice, PolandThe study evaluated the possibility of using the image acquisition and processing method with ImageJ software for estimating growth vigor and flowering intensity of ‘Conference’ pear trees. For assessing flowering intensity, manual counting of flower clusters and taking of photographs of the trees were conducted at full bloom. Tree vigor was estimated by manually measuring the total length of the central leader and shoots of individual trees. The trees were photographed from the same distance using a hand-held camera. The calibration model for assessing the vigor or flowering of trees by image analysis was based on measurements and photographs taken for nine selected trees differing in the total length of shoots or in the number of flower clusters. Then, a quality assessment of the model was carried out on 26 nonselected trees. Image processing was performed using ImageJ software. High regression coefficients were obtained between the surface area of petals measured on the photographs and the number of inflorescences counted (r2 = 0.98); however, observations carried out in the following year indicate the need for individual calibration of estimation models in each evaluation season. Subsequently, the quality of estimating the flowering intensity of pear trees was assessed using a previously determined calibration model. Mean absolute percentage error (MAPE) values ranged from 14.0% to 21.8%, depending on the measurement time. In the assessment of tree growth vigor, a high correlation (r2 = 0.98) was also obtained between the actual length of shoots measured individually for each tree and the values obtained by analyzing the photographic image, where the MAPE error was 12.9%.https://doi.org/10.2478/johr-2021-0017pyrus communisimage analysisplant morphology
spellingShingle Treder Waldemar
Klamkowski Krzysztof
Tryngiel-Gać Anna
Wójcik Katarzyna
Application of ImageJ Software in the assessment of flowering Intensity and growth Vigor of Pear Trees
Journal of Horticultural Research
pyrus communis
image analysis
plant morphology
title Application of ImageJ Software in the assessment of flowering Intensity and growth Vigor of Pear Trees
title_full Application of ImageJ Software in the assessment of flowering Intensity and growth Vigor of Pear Trees
title_fullStr Application of ImageJ Software in the assessment of flowering Intensity and growth Vigor of Pear Trees
title_full_unstemmed Application of ImageJ Software in the assessment of flowering Intensity and growth Vigor of Pear Trees
title_short Application of ImageJ Software in the assessment of flowering Intensity and growth Vigor of Pear Trees
title_sort application of imagej software in the assessment of flowering intensity and growth vigor of pear trees
topic pyrus communis
image analysis
plant morphology
url https://doi.org/10.2478/johr-2021-0017
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AT tryngielgacanna applicationofimagejsoftwareintheassessmentoffloweringintensityandgrowthvigorofpeartrees
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