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Smart Agricultural Robot with Real-Time Data Analysis Using IBM Watson Cloud Platform

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Advances in Clean Energy Technologies

Part of the book series: Springer Proceedings in Energy ((SPE))

Abstract

Numerous improvements in technology have made the agriculture business a much slighter labor-intensive industry. Farmers are looking for new approaches to use technology to cut costs and reduce labor hours. The Internet of things (IoT) has brought an uprising revolution to many fields of common man’s life by making everything intelligent, perceptive, smart, and trained. The agricultural robot being presented via this research paper is integrated with Arduino, NodeMCU, different types of sensors, cloud computing platform, and Blynk technology. The proposed research work is a simple architecture of IoT-based sensors which collect information related to the farm and send it over to the Wi-Fi network to the IBM cloud on a real-time basis. The data further is stored in IBM Cloudant which can later be used by anyone for further analytics. As an extra feature to the proposed work, a chatbot has also been created using our data and some additional data to assist the farmer with fertilizers and suggestions for farmland based on the data acquired by the robot.

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Authors and Affiliations

  1. School of Electronics Engineering, Vellore Institute of Technology, Vellore, India

    Prathyusha Thatipelli & R. Sujatha

Authors
  1. Prathyusha Thatipelli
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  2. R. Sujatha
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Editor information

Editors and Affiliations

  1. Department of Energy, Energy Centre, Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India

    Prashant V. Baredar

  2. Department of Mechanical Engineering, Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Jalandhar, Punjab, India

    Srinivas Tangellapalli

  3. Department of Energy Science and Engineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India

    Chetan Singh Solanki

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Thatipelli, P., Sujatha, R. (2021). Smart Agricultural Robot with Real-Time Data Analysis Using IBM Watson Cloud Platform. In: Baredar, P.V., Tangellapalli, S., Solanki, C.S. (eds) Advances in Clean Energy Technologies . Springer Proceedings in Energy. Springer, Singapore. https://doi.org/10.1007/978-981-16-0235-1_33

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  • DOI: https://doi.org/10.1007/978-981-16-0235-1_33

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-0234-4

  • Online ISBN: 978-981-16-0235-1

  • eBook Packages: EnergyEnergy (R0)

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