A study on the significance of smart IoT sensors and Data science in Digital agriculture

Neenu Johnson, M. B. Santosh Kumar, T. Dhannia
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引用次数: 10

Abstract

Agriculture is the backbone of the Indian economy. Environmental parameters such as temperature, humidity, rainfall, and so on are rapidly changing unpredictably. Internet-of-Things(IoT) and a wide range of agriculture sensors play a vital role to support farmers in enhancing their agricultural production despite the unpredictable behavior of natural parameters. Internet-of-Things(IoT) has a significant role in many smart applications that influences human life and sensors are inevitable in these systems. A high-volume of real-time data is generated from IoT sensor nodes deployed in farms at a faster rate. If this massive amount of data collected by IoT sensors need to be meaningful, it must be processed efficiently. This paper analyzes different types of sensors and IoT platforms used in smart farming. This paper also discusses the significance of data science in the agriculture sector and the various data processing methods applied over sensor data gathered for agricultural applications.
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智能物联网传感器与数据科学在数字农业中的意义研究
农业是印度经济的支柱。环境参数,如温度、湿度、降雨量等都在迅速变化,无法预测。物联网(IoT)和各种农业传感器在支持农民提高农业生产方面发挥着至关重要的作用,尽管自然参数的行为不可预测。物联网(IoT)在许多影响人类生活的智能应用中发挥着重要作用,传感器在这些系统中是不可避免的。部署在农场的物联网传感器节点以更快的速度生成大量实时数据。如果要让物联网传感器收集的大量数据有意义,就必须对其进行有效处理。本文分析了智能农业中使用的不同类型的传感器和物联网平台。本文还讨论了数据科学在农业部门的意义,以及应用于农业应用的传感器数据的各种数据处理方法。
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