Design and implementation of a crop health monitoring system
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023.
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10361-210592023-09-20T21:03:05Z Design and implementation of a crop health monitoring system Kabir, Mashrur Roy, Pranta Labonnya, Sheikh Sabikun Naher Hussain, Ashrar Ibne Islam, Md. Ferdous Azad, AKM Abdul Malek Rahman, Touhidur Imran, Mohammad Tushar Department of Electrical and Electronic Engineering, Brac University Quadcopter drones Remote sensing devices Data analytics software Crop monitoring Agriculture Arduino (Programmable controller) Drone aircraft Remote sensing Electronic data processing This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 158-160). This scholarly work aims to present an innovative Quadcopter Drone Crop Monitoring System that addresses the challenges faced by farmers in monitoring and managing their crops. The system integrates quadcopter drones, remote sensing devices, and data analytics software to provide detailed data on crop health, enabling farmers to make informed decisions on the various crop (leaf) diseases. The Quadcopter Drone Crop Monitoring System utilizes a state- of-the-art quadcopter drone equipped with a high-resolution camera. Essentially such a device would capture detailed images of crops from numerous angles, which are then transmitted to a ground station. The data is then processed using advanced algorithms (CNN) that generate detailed reports on crop diseases. The Quadcopter Drone Crop Monitoring System offers several advantages over traditional crop monitoring methods, including faster and more accurate data collection, reduced labor costs, and improved crop management practices. The data on crop (leaf) diseases enable farmers to make timely and informed decisions, leading to improved yields, reduced costs, and increased sustainability. The Quadcopter Drone Crop Monitoring System is an innovative solution to modernize agriculture and optimize crop production in a sustainable manner. This technology-driven solution has the potential to transform the agricultural sector by providing farmers with an efficient and effective tool for monitoring and managing their crops. It is envisioned that this technology will lead to a more sustainable and profitable future for the agricultural industry. Mashrur Kabir Pranta Roy Sheikh Sabikun Naher Labonnya Ashrar Ibne Hussain Md. Ferdous Islam B. Electrical and Electronic Engineering 2023-09-20T05:56:45Z 2023-09-20T05:56:45Z 2023 2023 Thesis ID 18121034 ID 16121043 ID 19321035 ID 17121051 ID 10110007 http://hdl.handle.net/10361/21059 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. 182 pages application/pdf Brac University |
institution |
Brac University |
collection |
Institutional Repository |
language |
English |
topic |
Quadcopter drones Remote sensing devices Data analytics software Crop monitoring Agriculture Arduino (Programmable controller) Drone aircraft Remote sensing Electronic data processing |
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Quadcopter drones Remote sensing devices Data analytics software Crop monitoring Agriculture Arduino (Programmable controller) Drone aircraft Remote sensing Electronic data processing Kabir, Mashrur Roy, Pranta Labonnya, Sheikh Sabikun Naher Hussain, Ashrar Ibne Islam, Md. Ferdous Design and implementation of a crop health 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, 2023. |
author2 |
Azad, AKM Abdul Malek |
author_facet |
Azad, AKM Abdul Malek Kabir, Mashrur Roy, Pranta Labonnya, Sheikh Sabikun Naher Hussain, Ashrar Ibne Islam, Md. Ferdous |
format |
Thesis |
author |
Kabir, Mashrur Roy, Pranta Labonnya, Sheikh Sabikun Naher Hussain, Ashrar Ibne Islam, Md. Ferdous |
author_sort |
Kabir, Mashrur |
title |
Design and implementation of a crop health monitoring system |
title_short |
Design and implementation of a crop health monitoring system |
title_full |
Design and implementation of a crop health monitoring system |
title_fullStr |
Design and implementation of a crop health monitoring system |
title_full_unstemmed |
Design and implementation of a crop health monitoring system |
title_sort |
design and implementation of a crop health monitoring system |
publisher |
Brac University |
publishDate |
2023 |
url |
http://hdl.handle.net/10361/21059 |
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