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Development of a hydroponic device using potassium Ion-Selective electrode and neural network technology

文献类型： 外文期刊

作者： Zhai, Jiawei 1 ; Luo, Bin 1 ; Liu, Tianyang 1 ; Dong, Hongtu 1 ; Jin, Xiaotong 1 ; Wang, Xiaodong 1 ; Zhao, Chunjiang 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Intelligent Equipment Res Ctr, Beijing 100097, Peoples R China

2.Beijing Univ Technol, Fac Informat Technol, Dept Artificial Intelligence & Automat, Beijing 100124, Peoples R China

3.Minist Agr & Rural Affairs, Key Lab Agr Sensors, Beijing 100097, Peoples R China

关键词： Ion-selective electrode; Hydroponics application; Potassium-ion; Artificial neural network; Measurement device

期刊名称：MICROCHEMICAL JOURNAL （ 影响因子：5.1； 五年影响因子：4.7 ）

ISSN： 0026-265X

年卷期： 2024 年 207 卷

页码：

收录情况： SCI

摘要： The rapid development of modern agricultural biotechnology and information technology has become a key driver of modern agricultural growth. The demand for ion detection is prevalent in all aspects of agriculture. This study details the research on an ion sensor agricultural system using potassium (K) ion-selective electrodes (ISEs). The main emphasis is on the application of artificial neural networks (ANNs) for driving ISE development of accuracy. ISEs based on solid contact with metal oxides, specifically manganese dioxide, are studied. Moreover, the design details of an ion signal acquisition device using the NI-9205 acquisition card and LabVIEW are presented. Finally, based on experimental results of nutrient solution samples, ANNs show better performance than the multiple linear regression method. The mean relative error of K-ISE detection was maintained within 4%. This study thoroughly discusses ISE technology to promote its adoption in agriculture.

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