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    •   BracU IR
    • School of Engineering (SoE)
    • Department of Electrical and Electronic Engineering (EEE)
    • Thesis & Report, BSc (Electrical and Electronic Engineering)
    • View Item
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    Green IoT based plant growth monitoring system

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    14110016, 14110018, 14110009_EEE.pdf (2.304Mb)
    Date
    2018-12
    Publisher
    Brac University
    Author
    Kamruzzaman, Syed Md.
    Hoque, Md. Aminul
    Ahmed, Azmir
    Metadata
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    URI
    http://hdl.handle.net/10361/12321
    Abstract
    The usage of Internet of things (IoT) for plant advancement and natural organization is a promising new field of research. Here an arrangement of reliably interfaced sensors are used to support data went for giving more profitable plant improvement and an unrivaled circumstance. In this part, we present a system where eight sorts of sensors are used to measure the air and soil quality. Our structure utilizes dispersed capacity for keeping the assembled sensor data which by then gets organized on the web in order to make exact figures on nature and plants using an auto-in reverse facilitated moving typical count. Likewise the structure has been arranged with a web interface and data portrayal, engaging people to obtain the persistent normal information to take better decisions for plant advancement and biological organization. Finally we highlight the accuracy of outcomes of predication data which is around 99.13%.
    Keywords
    IoT; Plant growth system
     
    LC Subject Headings
    Sensor networks; Intelligent buildings
     
    Description
    This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018.
     
    Cataloged from PDF version of thesis.
     
    Includes bibliographical references (pages 61-66).
    Department
    Department of Electrical and Electronic Engineering, Brac University
    Collections
    • Thesis & Report, BSc (Electrical and Electronic Engineering)

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