基于物联网的牛奶掺假评估模型,使用实验室视图识别牛奶质量

Medha Khenwar, Swati Vishnoi, Ankur Sisodia
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摘要

牛奶不仅仅是一个简单的词,它不仅在印度,而且在全世界都意味着很多。牛奶是最易消费的产品,也是印度的主要收入来源。牛奶的消费并不局限于特定的年龄组,如果牛奶不纯净,那么它就会成为许多疾病的主要来源。在本文中,我们制作了一个物联网模型,通过嵌入不同的传感器来检查牛奶的质量,例如通过气体传感器监测细菌活性,通过pH传感器监测pH值,通过粘度传感器监测粘度,以及通过温度传感器监测温度。在这些传感器的帮助下,物联网模型确保牛奶的质量,并最终通过LabVIEW评估物联网模型的性能。该模型给出的结果保证了牛奶质量的90%。在未来,我们将努力提高这个模型的百分比输出。
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An Assessment of Milk Adulteration IoT Based Model to Identify the Quality of Milk using Lab View
Milk is not just a simple word, it means a lot not just in India but all over the world. Milk is the most consumable product and is also the primary source of income in India. Milk consumption is not limited to a particular age group and if it is not pure then it becomes the primary source of many diseases. In this paper, we make an IoT model to check the quality of milk by embedding different sensors like bacterial activity monitored by a gas sensor, pH value monitored by pH sensor, Viscosity by Viscosity sensor, and temperature by the temperature sensor. With the help of these sensors, the IoT model ensures the quality of milk and in the end performance of this IoT model is assessed by LabVIEW. The results given by this model ensure the quality of milk by 90%. In the future, we will try to improve the percentage output of this model.
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