用磁处理水灌的菜植物的模糊建模开发
Fernando Ferrari Putti1, Camila Pires Cremasco1, Alfredo Bonini Neto1
1School of Science and Engineering, São Paulo State University (UNESP), Tupã 01049-010, SP, Brazil.
Plants (Basel, Switzerland)
|November 25, 2023
概括
磁性水 (MW) 灌显示了改善生菜生长的潜力. 一个模糊的逻辑模型准确地估计了MW的替换率,超过了用于更好的灌策略的多项式回归.
科学领域:
- 农业工程 农业工程
- 水资源管理 水资源管理
- 农业学是一种农业学.
背景情况:
- 全球水资源短缺需要可持续的灌策略.
- 磁性水 (MW) 在提高灌效率方面表现有前途.
- 需要准确的建模来将实验结果与MW灌相关联.
研究的目的:
- 通过模糊逻辑建模,估计沙拉生产的磁性水替换率.
- 为了比较模糊逻辑模型与多重多项式回归的准确性.
主要方法:
- 使用磁性水 (MW) 和常规水 (CW) 进行生菜温室研究.
- 应用了五个灌水平 (25-125%的作物蒸发透气).
- 在35天内收集的生物识别数据,通过模糊逻辑和多项式回归分析.
主要成果:
- 用MW灌的菜在现象学阶段表现出优越的生物识别值.
- 模糊逻辑模型比多项式回归更准确地适应实验数据.
结论:
- 磁性水灌对生菜生长和产量产生了积极的影响.
- 模糊逻辑建模为优化磁性水灌策略提供了更准确的方法.
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