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MAppleT: simulation of apple tree development using mixed stochastic and biomechanical models.

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This study introduces MAppleT, a novel simulation tool that integrates plant topology and geometry to model apple tree architecture. The software captures growth dynamics and interactions with gravity, improving 3D tree modeling.

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Area of Science:

  • * Computational botany
  • * Plant modeling
  • * Horticultural science

Background:

  • * Traditional tree architectural databases are time-consuming and struggle to capture dynamic changes in topology and geometry.
  • * Simulating tree development requires integrating models of both plant structure (topology) and physical form (geometry).

Purpose of the Study:

  • * To develop a unified simulation approach for modeling apple tree architecture by integrating topology and geometry.
  • * To create a dynamic 3D model that captures the emergence of tree form from process interactions.
  • * To assess the model's accuracy by comparing simulated and digitized tree characteristics.

Main Methods:

  • * Utilized L-systems to integrate topological and geometrical modeling.
  • * Employed a mixed approach with stochastic models for plant topology and mechanistic models for geometry.
  • * Modeled growth units (GUs) and branching using a hierarchical hidden Markov model.
  • * Incorporated a biomechanical model to simulate stem form, considering growth dynamics and gravity.

Main Results:

  • * Developed MAppleT, a simulation tool generating 3D mock-ups of apple tree progression over time.
  • * Performed sensitivity analysis and compared simulated versus digitized tree descriptors (GU count, shoot/axis geometry).
  • * Demonstrated the model's ability to represent key architectural features and growth dynamics.

Conclusions:

  • * MAppleT successfully integrates topology and geometry for simulating apple tree development.
  • * The model captures the influence of gravity on tree architecture.
  • * Despite limitations, MAppleT is a valuable tool for understanding and predicting apple tree growth patterns.