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Open AccessArticle

Estimating the Leaf Area of Cut Roses in Different Growth Stages Using Image Processing and Allometrics

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Faculty of Sciences, Universidade do Porto, Porto 4169-007, Portugal
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Linking Landscape, Environment, Agriculture and Food, Instituto Superior de Agronomia, Universidade de Lisboa, Lisboa 1349-017, Portugal
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Geo-Space Sciences Research Centre, Universidade do Porto, Porto 4169-007, Portugal
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CITAB—Center for the Research and Technology of Agro-Environmental and Biological Sciences, Universidade de Trás-os-Montes e Alto Douro, Quinta de Prados, Ap. 1013, Vila Real 5001-801, Portugal
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Author to whom correspondence should be addressed.
Academic Editors: Douglas D. Archbold and Benhong Wu
Horticulturae 2016, 2(3), 6; https://doi.org/10.3390/horticulturae2030006
Received: 10 March 2016 / Revised: 19 May 2016 / Accepted: 24 May 2016 / Published: 27 June 2016
Non-destructive, accurate, user-friendly and low-cost approaches to determining crop leaf area (LA) are a key tool in many agronomic and physiological studies, as well as in current agricultural management. Although there are models that estimate cut rose LA in the literature, they are generally designed for a specific stage of the crop cycle, usually harvest. This study aimed to estimate the LA of cut “Red Naomi” rose stems in several phenological phases using morphological descriptors and allometric measurements derived from image processing. A statistical model was developed based on the “multiple stepwise regression” technique and considered the stem height, the number of stem leaves, and the stage of the flower bud. The model, based on 26 stems (232 leaves) collected at different developmental stages, explained 95% of the LA variance (R2 = 0.95, n = 26, p < 0.0001). The mean relative difference between the observed and the estimated LA was 8.2%. The methodology had a high accuracy and precision in the estimation of LA during crop development. It can save time, effort, and resources in determining cut rose stem LA, enhancing its application in research and production contexts. View Full-Text
Keywords: allometric descriptors; leaf area modeling; non-destructive measurements; stem morphology; Rosa hybrida L. allometric descriptors; leaf area modeling; non-destructive measurements; stem morphology; Rosa hybrida L.
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Costa, A.P.; Pôças, I.; Cunha, M. Estimating the Leaf Area of Cut Roses in Different Growth Stages Using Image Processing and Allometrics. Horticulturae 2016, 2, 6.

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