Estimation of the Leaf Area Index, Leaf Fresh Weight, and Leaf Length of Chinese Chive (Allium tuberosum) Using Nadir-looking Photography in Combination with Allometric Relationships

Nomura, Kazuko H.; Wada, Eriko; Saito, M.; Yamasaki, Hiromi; Yasutake, Daisuke; Iwao, Tadashige; Tada, Ikunao; Yamazaki, Tomihiro; Kitano, Masaharu

doi:10.21273/hortsci16569-22

Cited by 4 publications

(3 citation statements)

References 53 publications

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“…This is due to changes in the ability of leaves to carry water in these different conditions. So the pipeline model can be reformulated as: (4) is the total leaf length supported by trees at a certain height above the ground (m)( or area ( )), is the leaf area ( ), is the permeability of the leaves at x ( ), a is a parameter ( ). Obviously, term / / / / / / is directly proportional to permeability Therefore, empirical models of prediction can be established.…”

Section: Estimation Of Tree Leaf Massmentioning

confidence: 99%

Application of Pipe Model Theory to Leaf Weight Estimation

Qi,

Wang,

Gao

et al. 2023

Advances in Transdisciplinary Engineering

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In this paper, the classification of plant leaves and the estimation of the quality of tree leaves are analyzed, and the shape of leaves is discussed. Firstly, a leaf classification method based on shape, color, indentation and veined features is proposed. Secondly, in the analysis of the factors affecting leaf morphology, the differences of leaf morphology among different species, the influence of optimal leaf distribution on the same internal leaf morphology, and the relationship between branching structure and leaf morphology were studied. Finally, based on the theory of pipe model, a model for estimating the total dry weight of leaves of a single standing tree is established.

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Section: Estimation Of Tree Leaf Massmentioning

confidence: 99%

Application of Pipe Model Theory to Leaf Weight Estimation

Qi,

Wang,

Gao

et al. 2023

Advances in Transdisciplinary Engineering

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“…High-throughput plant phenotyping (HTP) can be considered a rapid, efficient and low-cost tool to test the interaction between genotypes and the environment across a large number of genotypes. The use of high-throughput plant phenotyping platforms (HTPPs) is a powerful way to provide information on the plant growth process [25] through the measurement of biophysical traits, such as biomass, dry and wet weight, leaf area index (LAI) [26,27] and transpiration (Tr) [28]. Classical biometrical measurements can be integrated with optical indices (OIs) based on colour variation to retrieve information about the plant life cycle.…”

Section: Introductionmentioning

confidence: 99%

Low-Cost Hyperspectral Imaging to Detect Drought Stress in High-Throughput Phenotyping

Genangeli

Avola

Bindi

et al. 2023

Plants

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Recent developments in low-cost imaging hyperspectral cameras have opened up new possibilities for high-throughput phenotyping (HTP), allowing for high-resolution spectral data to be obtained in the visible and near-infrared spectral range. This study presents, for the first time, the integration of a low-cost hyperspectral camera Senop HSC-2 into an HTP platform to evaluate the drought stress resistance and physiological response of four tomato genotypes (770P, 990P, Red Setter and Torremaggiore) during two cycles of well-watered and deficit irrigation. Over 120 gigabytes of hyperspectral data were collected, and an innovative segmentation method able to reduce the hyperspectral dataset by 85.5% was developed and applied. A hyperspectral index (H-index) based on the red-edge slope was selected, and its ability to discriminate stress conditions was compared with three optical indices (OIs) obtained by the HTP platform. The analysis of variance (ANOVA) applied to the OIs and H-index revealed the better capacity of the H-index to describe the dynamic of drought stress trend compared to OIs, especially in the first stress and recovery phases. Selected OIs were instead capable of describing structural changes during plant growth. Finally, the OIs and H-index results have revealed a higher susceptibility to drought stress in 770P and 990P than Red Setter and Torremaggiore genotypes.

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“…Recently, digital camera image analyses have been used to estimate individual leaf area [37][38][39][40][41][42][43][44][45][46][47][48][49][50], whole-plant leaf area or growth rate [42,[51][52][53][54][55][56][57], leaf area index [52,[58][59][60][61][62][63], leaf morphology [64], leaf color [65], and leaf angle distribution [66]. However, a major limitation of these approaches is that photographs are only a two-dimensional (2D) projection of leaves, whereas leaves (or groups of leaves on a stem) are three-dimensional (3D) (i.e., folded, curled, or wiggled) [67].…”

Section: Introductionmentioning

confidence: 99%

Leaf Area Estimation by Photographing Leaves Sandwiched between Transparent Clear File Folder Sheets

Koyama

2023

Horticulturae

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Image analysis is a promising method for in situ leaf area measurement. However, as leaves are three-dimensional, the use of two-dimensional images captured using a digital camera can result in underestimation. To overcome this problem, we tested a clear folder method. Before photographing leaves with a digital camera, we flattened the leaves by sandwiching them between a pair of transparent plastic clear file folder sheets, which are stationery implements for carrying documents. Although similar methods have been previously proposed, their applicability to species with different leaf shapes has never been investigated. We tested the efficacy of this method using 12 species from various taxa (monocots, magnoliids, and basal and core eudicots) and leaf morphology (entire vs. lobed, simple vs. compound leaves, small and large leaves). Individual leaf areas and the Montgomery parameters obtained using this method were then compared with those obtained using the standard method, which employs a flatbed digital scanner. We observed strong correlations (R2 > 0.98) between the camera and scanner data. The regression slopes were close to unity (0.96–1.01) and the intercepts were close to zero. These findings suggest that the clear folder method can be used as an inexpensive alternative method to estimate the area of leaves in situ with acceptable accuracy. An introductory manual for readers unfamiliar with image analysis using ImageJ is presented in the end of the paper.

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Estimation of the Leaf Area Index, Leaf Fresh Weight, and Leaf Length of Chinese Chive (Allium tuberosum) Using Nadir-looking Photography in Combination with Allometric Relationships

Cited by 4 publications

References 53 publications

Application of Pipe Model Theory to Leaf Weight Estimation

Application of Pipe Model Theory to Leaf Weight Estimation

Low-Cost Hyperspectral Imaging to Detect Drought Stress in High-Throughput Phenotyping

Leaf Area Estimation by Photographing Leaves Sandwiched between Transparent Clear File Folder Sheets

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