Modelagem 3D e simulação do crescimento e desenvolvimento do abacaxizeiro baseado na teoria L-System

Abstract

The monitoring of the growth and development of agricultural crops is an important means for defining planting strategies and efficient management practices to achieve success in commercial crops. The development and adjustment of plant growth models from reliable databases enables the implementation of specific software to support recommendations and decision-making related to the crop in question. In this sense, the objective was to create, adjust and simulate reference models for the growth and development of the pineapple, adjusting and correcting them according to the nitrogen supply per plant or according to the plant population per hectare; implement a computational solution (software) in a three dimensional (3D) environment with the ability to build "virtual plants" interactive virtual experiments for the pineapple cultivar 'Pérola'. From a database of field trials with periodic evaluations of fresh and dry matter of roots, stem, leaves, fruits, stem diameter, fresh or dry matter of leaf D, as well as climatic data, growth models were adjusted for the pineapple. These models were constructed as a function of significant correlation and the high value of the correlation coefficient of the evaluations of non-destructive parameters (stem diameter) or destructive of the plant (fresh or dry matter of sheet D), used in combination or alone. By implementing algorithms, the interaction between these models and three-dimensional graphic objects constructed to represent each compartment of the plant of the pineapple was performed in a software development environment (Unity3D). Then, the daily growth of the pineapple is presented on the computer screen through the visualization of "virtual plants" by L-PIÑA. The system is available at: https:/l-pina.guanambi.ifbaiano.edu.br/, where it is possible to perform virtual experiments that allow the identification of previous problems with pineapple farming from the combination and variation of the following factors: temperature, plant population per hectare and nitrogen fertilization (N).