Abstract

Sugarcane cultivation requires correct fertilizer rates. However, when nutrients are not available, or there is over-fertilization, the yields are significantly reduced and the environmental burden increase. In this study, it is proposed a decision support system (DSS) for the correct NPK (nitrogen, phosphorus and potassium) fertilization. The DSS consists of two fuzzy models; the edaphic condition model (EDC-M) and the NPK fertilization model (NPK-M). The DSS using parameters from soil analysis and is based on the experience of two groups of experts to avoid the bias to the reality of a single group of professionals. The results of the DSS are compared with the results of soil analysis and those of the group of experts. One hundred and sixty tests were developed in the NPK-M. The N rate shows R ²=0.981 for the DSS and R ²=0.963 for soil analyzes. The P rate shows R ²=0.9702 for the DSS and R ²=0.9183 for the soil analyzes. The K rate shows R ²=0.9691 for the DSS and R ²=0.9663 for the soil analyzes. Environmental results indicate that the estimated rates with the DSS do reduce the environmental impact on the tests performed.

摘要

甘蔗种植需要正确的肥料用量。但是，如果没有养分或施肥过多，则产量会大大降低，环境负担也会增加。在这项研究中，为正确的NPK（氮，磷和钾）施肥提出了决策支持系统（DSS）。DSS由两个模糊模型组成；养分状况模型（EDC-M）和NPK受精模型（NPK-M）。DSS使用来自土壤分析的参数，并且基于两组专家的经验，以避免偏向于一组专业人员的实际情况。将DSS的结果与土壤分析的结果以及专家组的结果进行比较。在NPK-M中开发了160个测试。N比率显示R ²对于DSS为= 0.981，对于土壤分析为R ² = 0.963。对于DSS，P值显示R ² = 0.9702，对于土壤分析，R ² = 0.9183。对于DSS，K速率显示R ² = 0.9691，对于土壤分析，R ²显示R ² = 0.9663 。环境结果表明，DSS的估计速率确实减少了对执行的测试的环境影响。