Automated Soil Residue Levels Detecting Device With IoT Interface

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Author(s): Adiraju Prasanth Rao (Anurag Group of Institutions, India), K. Sudheer Reddy (Anurag Group of Institutions, India)and Sathiyamoorthi V. (Sona College of Technology, Salem, India)
Copyright: 2021
Pages: 13
Source title: Challenges and Applications of Data Analytics in Social Perspectives
Source Author(s)/Editor(s): V. Sathiyamoorthi (Sona College of Technology, India)and Atilla Elci (Hasan Kalyoncu University, Turkey)
DOI: 10.4018/978-1-7998-2566-1.ch007

Keywords: Data Analysis and Statistics / Engineering Science Reference / Knowledge Management and Library Science / Machine Learning

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Abstract

Cloud computing and internet of things (IoT) are playing a crucial role in the present era of technological, social, and economic development. The novel models where cloud and IoT are integrated together are foreseen as disruptive and enable a number of application scenarios. The e-smart is an application system designed by leveraging cloud, IoT, and several other technology frameworks that are deployed on the agricultural farm to collect the data from the farm fields. The application extracts and collects the information about the residue levels of soil and crop details and the same data will be hosted in the cloud environment. The proposed e-smart application system is to analyze, integrate, and correlate datasets and produce decision-oriented reports to the farmer by using several machine learning techniques.

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Automated Soil Residue Levels Detecting Device With IoT Interface

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