Self-adaptive gridding method and self-adaptive gridding system of geometric curved surfaces of three-dimensional plant organs

Abstract

The invention discloses a self-adaptive gridding method and a self-adaptive gridding system of geometric curved surfaces of three-dimensional plant organs. The method comprises the following steps: classifying plant organs according to appearance characteristics of the plant organs, and establishing a skeleton model of each plant organ; setting parameters that are necessary to be used in the meshing process of the geometric curved surfaces of the organs aiming at different plant organ types; and carrying out self-adaptive gridding on the geometric curved surfaces of the organs aiming at different plant organ types. The invention can selectively generate plant geometric mesh curved surfaces with different gridding scales and different resolution ratios so as to satisfy the applications of large-scale plant growth visual simulation, plant-canopy light distribution calculation, three-dimensional plant scene real-time drawing, and the like.

Description

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AI Technical Summary

Benefits of technology

This technology allows plants to be modeled with 3D grids based on their specific properties such as size or resolution. It also includes methods like generating vegetation maps from these gratings, calculating light distributions over them, simulating physical processes at any given time during growing conditions, etc., making it possible to create customized greenhouse structures without requiring expensive equipment. Overall this makes building larger crops more efficient by providing accurate data about environmental factors affecting crop health.

Problems solved by technology

Technologies described in the technical problem addressed in this patents relates to improving the performance and precision of simulating vegetation surfaces (plant form) in three dimensional simulations. Current solutions require complex calculations involving multiple steps, leading to slow processing times and reduced overall productivity compared to simpler approaches like ray casting techniques. There is an urgent need for improved solution technics aimed at achieving higher quality virtual garden representations than current alternatives.

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