Green IoT based plant growth monitoring system
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018.
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| Idioma: | English |
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Brac University
2019
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| Acesso em linha: | http://hdl.handle.net/10361/12321 |
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10361-12321 |
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10361-123212019-09-30T05:48:59Z Green IoT based plant growth monitoring system Kamruzzaman, Syed Md. Hoque, Md. Aminul Ahmed, Azmir Sabuj, Saifur Rahman Department of Electrical and Electronic Engineering, Brac University IoT Plant growth system Sensor networks Intelligent buildings 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). 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%. Syed Md. Kamruzzaman Md. Aminul Hoque Azmir Ahmed B. Electrical and Electronic Engineering 2019-07-09T04:20:04Z 2019-07-09T04:20:04Z 2018 2018-12 Thesis ID 14110016 ID 14110018 ID 14110009 http://hdl.handle.net/10361/12321 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 66 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
IoT Plant growth system Sensor networks Intelligent buildings |
| spellingShingle |
IoT Plant growth system Sensor networks Intelligent buildings Kamruzzaman, Syed Md. Hoque, Md. Aminul Ahmed, Azmir Green IoT based plant growth monitoring system |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018. |
| author2 |
Sabuj, Saifur Rahman |
| author_facet |
Sabuj, Saifur Rahman Kamruzzaman, Syed Md. Hoque, Md. Aminul Ahmed, Azmir |
| format |
Thesis |
| author |
Kamruzzaman, Syed Md. Hoque, Md. Aminul Ahmed, Azmir |
| author_sort |
Kamruzzaman, Syed Md. |
| title |
Green IoT based plant growth monitoring system |
| title_short |
Green IoT based plant growth monitoring system |
| title_full |
Green IoT based plant growth monitoring system |
| title_fullStr |
Green IoT based plant growth monitoring system |
| title_full_unstemmed |
Green IoT based plant growth monitoring system |
| title_sort |
green iot based plant growth monitoring system |
| publisher |
Brac University |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10361/12321 |
| work_keys_str_mv |
AT kamruzzamansyedmd greeniotbasedplantgrowthmonitoringsystem AT hoquemdaminul greeniotbasedplantgrowthmonitoringsystem AT ahmedazmir greeniotbasedplantgrowthmonitoringsystem |
| _version_ |
1814307341022003200 |