Growth model and visualization of a virtual jujube tree

Fan, Pingzhi; Zheng, Haining; Lu, Shuhan; Shi, Zhou; Liu, Xiaoxue; Li, Lin

doi:10.1016/j.compag.2018.12.045

Cited by 9 publications

(6 citation statements)

References 6 publications

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“…There are some previous studies that have measured specific trees' three-dimensional greenery volume by three-dimensional point-cloud or statistical models [44][45][46][47][48][49][50]. However, we found visible greenery quantity could vary in the same tree since the pedestrian is moving, and larger tree species may have taller canopies, thus leading to a strict method of field study.…”

mentioning

confidence: 62%

“…Studies of tree morphology are focusing more on tree communities such as forests and on the statistical construction of tree growth models [47][48][49], such as evaluating different planting patterns of trees by comparing and evaluating structural variables of tree canopy morphology [49] or studying the influences of different environmental factors on the tree growth mode [50,51]. In addition, there are also studies that innovate the calculation methods of the structural properties of trees by remote sensing, unmanned aerial vehicles, or lidar [51][52][53][54].…”

Section: The Inspiration From Tree Morphology To Quantify the Gvi Of ...mentioning

confidence: 99%

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How Much Visual Greenery Can Street Trees Generate from a Humanistic Perspective? An Attempt to Quantify the Canopy Green View Index Based on Tree Morphology

Zhu,

Nan,

Kang

et al. 2024

Forests

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Street trees are essential to urban ecological benefits and human well-being. The canopy morphology relates to the green view index (GVI), which needs to be calculated based on specific tree species. This study conducts a field study on 760 street trees of 3 species from the pedestrian perspective, and explores the differences in canopy GVI and its factors of different specifications of street trees using DBH grading. The results indicate that (1) street trees can provide 20% of the GVI in unilateral streets, with 13% of the GVI in a single canopy. (2) A flat oval crown with a wider canopy width is more effective in providing GVI than a long oval crown, and a CW with a higher canopy GVI highlights this advantage. (3) DBHs of 30 and 40 can be used as grading indicators for Cinnamomum camphora, and the specification requirements can be reduced for Southern magnolia and Chinese privet. (4) The concept of DE is introduced, and new parameters related to the central crown have significant impacts on GVI. The conclusions can improve the GVI application in urban greenery planning as well as have certain implications for the cost management of future seedling cultivation.

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confidence: 62%

Section: The Inspiration From Tree Morphology To Quantify the Gvi Of ...mentioning

confidence: 99%

How Much Visual Greenery Can Street Trees Generate from a Humanistic Perspective? An Attempt to Quantify the Canopy Green View Index Based on Tree Morphology

Zhu,

Nan,

Kang

et al. 2024

Forests

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“…Moreover, the flavonoids contained in tomato epidermis are mainly naringenin chalcone (NarCh), flavonol rutin, and kaempferol rutinoside. Naringenin chalcone is the most abundant flavonoid in tomato, while rutin and kaempferol are accumulated at much lower amounts 29 . Therefore, the concentration change of the pigment NarCh is used to represent the yellow epidermis.…”

Section: Simulation Methodsmentioning

confidence: 99%

“…Naringenin chalcone is the most abundant flavonoid in tomato, while rutin and kaempferol are accumulated at much lower amounts. 29 Therefore, the concentration change of the pigment NarCh is used to represent the yellow epidermis. In addition, no pigment is calculated for the colorless epidermis.…”

Section: Epidermismentioning

confidence: 99%

Botanical‐based simulation of color change in fruit ripening: Taking tomato as an example

Xu,

Liu

2023

Computer Animation & Virtual

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The color change of plant fruit in ripening is a typical time‐varying phenomenon involving various factors. Due to its complexity and biodiversity, it is challenging to model this phenomenon. To address this issue, we take the tomato as an example and propose a botanical‐based framework considering variety, environment, phytohormone, and genes to simulate fruit color change during the ripening process. Specifically, we propose a first‐order kinetic model that integrates varietal, environmental, and phytohormonal factors to represent the variation of pigment concentrations in the pericarp. Moreover, we introduce a logistic model to describe the change in pigment concentration in the epidermis. Based on the gene expression pathway of tomato color in botany, we propose a genotype‐to‐phenotype simulation method to represent its biodiversity. An improved method is proposed to convert pigment concentrations into color accurately. Furthermore, we propose a gradient descent‐based method to assist the user in quickly setting pigment concentration parameters. Experiments verified that the proposed framework can simulate a wide range of tomato colors. Both qualitative and quantitative experiments validated the proposed method. Furthermore, our framework can be applied to more fruits.

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“…The effective viewing distance of the Kinect V2 is 0.5–4.5 m; and the maximum field of view angle is: 70° in the horizontal direction and 60° in the vertical direction, respectively 18 , 19 . Considering the limitation of the recognition range of the collection equipment and the width of the collection field of view, it is necessary to control the maize plant and the Kinect V2 within a proper distance.…”

Section: Methodsmentioning

confidence: 99%

Point cloud registration method for maize plants based on conical surface fitting—ICP

Zhang

Chen

et al. 2022

Sci Rep

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Reconstructing three-dimensional (3D) point cloud model of maize plants can provide reliable data for its growth observation and agricultural machinery research. The existing data collection systems and registration methods have low collection efficiency and poor registration accuracy. A point cloud registration method for maize plants based on conical surface fitting—iterative closest point (ICP) with automatic point cloud collection platform was proposed in this paper. Firstly, a Kinect V2 was selected to cooperate with an automatic point cloud collection platform to collect multi-angle point clouds. Then, the conical surface fitting algorithm was employed to fit the point clouds of the flowerpot wall to acquire the fitted rotation axis for coarse registration. Finally, the interval ICP registration algorithm was used for precise registration, and the Delaunay triangle meshing algorithm was chosen to triangulate the point clouds of maize plants. The maize plant at the flowering and kernel stage was selected for reconstruction experiments, the results show that: the full-angle registration takes 57.32 s, and the registration mean distance error is 1.98 mm. The measured value’s relative errors between the reconstructed model and the material object of maize plant are controlled within 5%, the reconstructed model can replace maize plants for research.

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Growth model and visualization of a virtual jujube tree

Cited by 9 publications

References 6 publications

How Much Visual Greenery Can Street Trees Generate from a Humanistic Perspective? An Attempt to Quantify the Canopy Green View Index Based on Tree Morphology

How Much Visual Greenery Can Street Trees Generate from a Humanistic Perspective? An Attempt to Quantify the Canopy Green View Index Based on Tree Morphology

Botanical‐based simulation of color change in fruit ripening: Taking tomato as an example

Point cloud registration method for maize plants based on conical surface fitting—ICP

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