ArticleAnnals of botany2024
Comparison between computer recognition and manual measurement methods for the estimation of leaf area.
Article in Annals of botany, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Application of the Montgomery Equation in Morphometric Analysis of Tepals: A Case Study ofPlants (Basel, Switzerland) · 2025Article
- A Nonlinear Fitting Method Provides Strong Support for Geometric Series of Stomatal Area in 12 Magnoliaceae Species.Plants (Basel, Switzerland) · 2025Article
- Floral symmetry and scaling relationships between tepal mass and area in the daylily (Frontiers in plant science · 2025Article
- Using the Montgomery-Koyama-Smith equation to calculate the stomatal area per unit lamina area for 12 Magnoliaceae species.Annals of botany · 2024Article
- The Geometric Series Hypothesis of Leaf Area Distribution and Its Link to the Calculation of the Total Leaf Area per Shoot ofPlants (Basel, Switzerland) · 2024Article
- Testing the Validity of the Montgomery-Koyama-Smith Equation for Calculating the Total Petal Area per Flower Using Two Rosaceae Species.Plants (Basel, Switzerland) · 2024Article
- Variation of leaf shape with tree size: a case study usingFrontiers in plant science · 2024Article
- Comparison of five equations in describing the variation of leaf area distributions ofFrontiers in plant science · 2024Article
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8 authors.
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Abstract
BACKGROUND AND
aimsLeaf area (A) is a crucial indicator of the photosynthetic capacity of plants. The Montgomery equation (ME), which hypothesizes that A is proportional to the product of leaf length (L) and width (W), is a valid tool for non-destructively measuring A for many broadleaved plants. At present, the methods used to compute L and W for the ME can be broadly divided into two kinds: using computer recognition and measuring manually. However, the potential difference in the prediction accuracy using either method has not been thoroughly examined in previous studies.
methodsIn the present study, we measured 540 Alangium chinense leaves, 489 Liquidambar formosana leaves and 215 Liriodendron × sinoamericanum leaves, utilizing computer recognition and manual measurement methods to determine L and W. The ME was used to fit the data determined by the two methods, and the goodness of fits were compared. The prediction errors of A were analysed by examining the correlations with two leaf symmetry indices (areal ratio of the left side to the right side, and standardized index for bilateral asymmetry), as well as the leaf shape complexity index (the leaf dissection index). KEY
resultsThe results indicate that there is a neglectable difference in the estimation of A between the two methods. This further validates that the ME is an effective method for estimating A in broadleaved tree species, including those with lobes. Additionally, leaf shape complexity significantly influenced the estimation of A.
conclusionsThese results show that the use of computer recognition and manual measurement in the field are both effective and feasible, although the influence of leaf shape complexity should be considered when applying the ME to estimate A in the future.
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