Putti Fernando Ferrari, Filho Luis Roberto Almeida Gabriel, Gabriel Camila Pires Cremasco, Neto Alfredo Bonini, Bonini Carolina Dos Santos Batista, Rodrigues Dos Reis André
School of Science and Engineering, UNESP - São Paulo State University, Postal Code 17602-496, Tupã, SP, Brazil.
School of Science and Engineering, UNESP - São Paulo State University, Postal Code 17602-496, Tupã, SP, Brazil.
Math Biosci. 2017 Jun;288:124-129. doi: 10.1016/j.mbs.2017.03.005. Epub 2017 Mar 18.
This study aimed to develop a fuzzy mathematical model to estimate the impacts of global warming on the vitality of Laelia purpurata growing in different Brazilian environmental conditions. In order to develop the mathematical model was considered as intrinsic factors the parameters: temperature, humidity and shade conditions to determine the vitality of plants. Fuzzy model results could accurately predict the optimal conditions for cultivation of Laelia purpurata in several sites of Brazil. Based on fuzzy model results, we found that higher temperatures and lacking of properly shading can reduce the vitality of orchids. Fuzzy mathematical model could precisely detect the effect of higher temperatures causing damages on vitality of plants as a consequence of global warming.
本研究旨在建立一个模糊数学模型,以评估全球变暖对生长在巴西不同环境条件下的紫花蕾丽兰活力的影响。为了建立该数学模型,将温度、湿度和遮荫条件等参数视为决定植物活力的内在因素。模糊模型结果能够准确预测巴西多个地区紫花蕾丽兰的最佳种植条件。基于模糊模型结果,我们发现较高的温度和缺乏适当的遮荫会降低兰花的活力。模糊数学模型能够精确检测由于全球变暖导致的较高温度对植物活力造成损害的影响。