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A Sensor Data Acquisition System for Smart Agriculture

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Abstract

The agricultural economy of India depends heavily on agricultural production for its economic structure. Crop monitoring and timely interventions can be critical in improving agriculture outcomes. Because of the criticality of the agriculture domain and the relevance of analytical solutions for improving its operational effectiveness, this research paper presents a sensor data acquisition framework for acquiring data from sensors mounted on the robot which is an unmanned aerial vehicles (UAVs) technology. The proposed work uses Internet of Things (IoT)-based sensors for data acquisition by deploying robot-mounted sensors on crop fields. These robots traverse the crop and collect real-time parameters, i.e., temperature, humidity, moisture, and bacteria, which are then pushed to the cloud and subsequently used for analysis. The dataset is analyzed using exploratory analysis to determine the statistical values of the observed parameters. The results of the analysis are published on the Twitter platform using ThingSpeak which is an IoT analytics service that allows us to aggregate, visualize, and analyze live data streams in the cloud. The obtained results demonstrate the ability of the system and its possibility to be utilized as a commercial agriculture practice for farmers/users.

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Code or Data Availability

The data and code used in this study are available on request from the corresponding author.

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Acknowledgements

The authors wish to thank the editors and anonymous reviewers for their insightful and helpful feedback in advance.

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The authors declare that no funds, grants, or other supports were received during the preparation of this manuscript.

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Authors and Affiliations

  1. Department of Computer Science, Jamia Millia Islamia, New Delhi, India

    Disha Garg & Mansaf Alam

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  1. Disha Garg
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Contributions

Both authors contributed to the study’s conception and design. MA: helped in the original draft, laboratory experiments, data collection, and visualization, supervision. DG: contributed to the investigation, formal analysis, editing, material preparation, and data analysis. All authors read and approved the final manuscript.

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Correspondence to Mansaf Alam.

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This article is part of the topical collection “Research Trends in Communication and Network Technologies” guest edited by Anshul Verma, Pradeepika Verma and Kiran Kumar Pattanaik.

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Garg, D., Alam, M. A Sensor Data Acquisition System for Smart Agriculture. SN COMPUT. SCI. 4, 667 (2023). https://doi.org/10.1007/s42979-023-02085-5

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