Digital Repeat Photography Application for Flowering Stage Classification of Selected Woody Plants

cris.virtual.author-orcid0000-0002-6111-981X
cris.virtual.author-orcid0000-0002-2222-6866
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cris.virtual.author-orcid0000-0002-9012-4060
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cris.virtualsource.author-orcid870ed5c6-902f-444f-8c1c-9406ad025964
cris.virtualsource.author-orcid09c81af2-c2b2-424c-b2ec-4cda600883bf
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cris.virtualsource.author-orciddb2bbd84-5a3b-4eb8-ad6c-5aed8ba9e1c9
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dc.abstract.enDigital repeat photography is currently applied mainly in geophysical studies of ecosystems. However, its role as a tool that can be utilized in conventional phenology, tracking a plant’s seasonal developmental cycle, is growing. This study’s main goal was to develop an easy-to-reproduce, single-camera-based novel approach to determine the flowering phases of 12 woody plants of various deciduous species. Field observations served as binary class calibration datasets (flowering and non-flowering stages). All the image RGB parameters, designated for each plant separately, were used as plant features for the models’ parametrization. The training data were subjected to various transformations to achieve the best classifications using the weighted k-nearest neighbors algorithm. The developed models enabled the flowering classifications at the 0, 1, 2, 3, and 5 onset day shift (absolute values) for 2, 3, 3, 2, and 2 plants, respectively. For 9 plants, the presented method enabled the flowering duration estimation, which is a valuable yet rarely used parameter in conventional phenological studies. We found the presented method suitable for various plants, despite their petal color and flower size, until there is a considerable change in the crown color during the flowering stage.
dc.affiliationWydział Inżynierii Środowiska i Inżynierii Mechanicznej
dc.affiliation.instituteKatedra Bioklimatologii
dc.affiliation.instituteKatedra Budownictwa i Geoinżynierii
dc.affiliation.instituteKatedra Inżynierii Biosystemów
dc.contributor.authorRóżańska, Monika
dc.contributor.authorHarenda, Kamila
dc.contributor.authorJózefczyk, Damian
dc.contributor.authorWojciechowski, Tomasz
dc.contributor.authorChojnicki, Bogdan
dc.date.access2025-10-03
dc.date.accessioned2025-10-03T10:51:29Z
dc.date.available2025-10-03T10:51:29Z
dc.date.copyright2025-03-27
dc.date.issued2025
dc.description.abstract<jats:p>Digital repeat photography is currently applied mainly in geophysical studies of ecosystems. However, its role as a tool that can be utilized in conventional phenology, tracking a plant’s seasonal developmental cycle, is growing. This study’s main goal was to develop an easy-to-reproduce, single-camera-based novel approach to determine the flowering phases of 12 woody plants of various deciduous species. Field observations served as binary class calibration datasets (flowering and non-flowering stages). All the image RGB parameters, designated for each plant separately, were used as plant features for the models’ parametrization. The training data were subjected to various transformations to achieve the best classifications using the weighted k-nearest neighbors algorithm. The developed models enabled the flowering classifications at the 0, 1, 2, 3, and 5 onset day shift (absolute values) for 2, 3, 3, 2, and 2 plants, respectively. For 9 plants, the presented method enabled the flowering duration estimation, which is a valuable yet rarely used parameter in conventional phenological studies. We found the presented method suitable for various plants, despite their petal color and flower size, until there is a considerable change in the crown color during the flowering stage.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_research
dc.description.financecost10412,00
dc.description.if3,5
dc.description.number7
dc.description.points100
dc.description.versionfinal_published
dc.description.volume25
dc.identifier.doi10.3390/s25072106
dc.identifier.issn1424-8220
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/5174
dc.identifier.weblinkhttps://www.mdpi.com/1424-8220/25/7/2106
dc.languageen
dc.relation.ispartofSensors
dc.relation.pagesart. 2106
dc.rightsCC-BY
dc.sciencecloudnosend
dc.share.typeOPEN_JOURNAL
dc.subject.endigital repeat photography
dc.subject.enflowering
dc.subject.enk-nearest neighbors
dc.subject.enphenology
dc.titleDigital Repeat Photography Application for Flowering Stage Classification of Selected Woody Plants
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue7
oaire.citation.volume25