Article ; Online: Three-Dimensional Modeling of Maize Canopies Based on Computational Intelligence.
Plant phenomics (Washington, D.C.)
2024 Volume 6, Page(s) 160
Abstract: The 3-dimensional (3D) modeling of crop canopies is fundamental for studying functional-structural plant models. Existing studies often fail to capture the structural characteristics of crop canopies, such as organ overlapping and resource competition. ... ...
Abstract | The 3-dimensional (3D) modeling of crop canopies is fundamental for studying functional-structural plant models. Existing studies often fail to capture the structural characteristics of crop canopies, such as organ overlapping and resource competition. To address this issue, we propose a 3D maize modeling method based on computational intelligence. An initial 3D maize canopy is created using the t-distribution method to reflect characteristics of the plant architecture. The subsequent model considers the 3D phytomers of maize as intelligent agents. The aim is to maximize the ratio of sunlit leaf area, and by iteratively modifying the azimuth angle of the 3D phytomers, a 3D maize canopy model that maximizes light resource interception can be constructed. Additionally, the method incorporates a reflective approach to optimize the canopy and utilizes a mesh deformation technique for detecting and responding to leaf collisions within the canopy. Six canopy models of 2 varieties plus 3 planting densities was constructed for validation. The average |
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Language | English |
Publishing date | 2024-03-20 |
Publishing country | United States |
Document type | Journal Article |
ISSN | 2643-6515 |
ISSN (online) | 2643-6515 |
DOI | 10.34133/plantphenomics.0160 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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