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Multisensor Device Based On Case-based Reasoning (cbr) For Monitoring Nutrient Solutions In Fertigation

机译:基于案例推理(cbr)的多传感器设备监测施肥中的营养液

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摘要

A simplified four-electrode multisensor prototype incorporating a homemade sensor based on chitosan-clay nanocomposite, and making use of Case-Based Reasoning (CBR) as pattern recognition technique, is effective for discerning among complex solutions of similar composition. The long-term stability of the sensors array together with the possibility of applying drift and weight corrections to the CBR database increase the efficiency of the CBR-based system, enhancing its ability to detect variations in the composition of fertigation solutions used in greenhouse crops.
机译:一个简化的四电极多传感器原型,结合了基于壳聚糖-粘土纳米复合材料的自制传感器,并采用基于案例的推理(CBR)作为模式识别技术,可有效识别相似组成的复杂解决方案。传感器阵列的长期稳定性以及对CBR数据库应用漂移和权重校正的可能性,提高了基于CBR的系统的效率,增强了其检测温室作物施肥溶液成分变化的能力。

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