Greenhouse monitoring and harvesting mobile robot with 6DOF manipulator utilizing ROS, inverse kinematics and deep learning models
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
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| Idioma: | English |
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Brac University
2023
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| Acesso em linha: | http://hdl.handle.net/10361/21813 |
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10361-21813 |
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10361-218132023-10-15T21:05:25Z Greenhouse monitoring and harvesting mobile robot with 6DOF manipulator utilizing ROS, inverse kinematics and deep learning models Islam, Md. Hashibul Wadud, Md. Firoz Rahman, Md. Raihan Alam, A S M Hasibul Rhaman, Md. Khalilur Alam, Md. Golam Rabiul Department of Computer Science and Engineering, Brac University ROS 6DOF Joint angles Path finding Kinematics Transfer learning Deep learning Multi-object tracking Data augmentation Robot farming Greenhouse Artificial intelligence Pattern recognition This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 57-60). The rapid climate change and scarcity of fertile land has been a global concern recently. To sustain the food supply its high time to think about the modern way of cultivating which is greenhouse. Taking these changes as well as The paradigm shift in people’s occupation, we aim to build a Farming robot with the capability of monitoring and maintaining the soil and the farming environment. In addition this robot will be able to count the amount of vegetables and fruits and harvest them exactly when they are mature for consumption. To move forward with this goal in mind we have added a robotic arm of 6 degrees of freedom and wheel tracks for moving through the mud and soil. With the help of ROS gazebo and A* algorithm rover can make its path through the farm. For picking the vegetables, detecting any diseases on plants we have tried, compared and choose various state of art deep learning models. These models have been merged with object tracking and inverse kinematics algorithms for manipulating the end effector to desired point. Thus, we would have our automated farming robot. The combination of the technologies makes our robot different and effective than other farming robots. As the components used in this robot are easily available and affordable, we hope that this robot would be an active soldier which will sustain our flood supply chain amidst any natural inconvenience. Md. Hashibul Islam Md. Firoz Wadud Md. Raihan Rahman A S M Hasibul Alam B.Sc. in Computer Science and Engineering 2023-10-15T06:55:31Z 2023-10-15T06:55:31Z ©2022 2022-01-20 Thesis ID 17301194 ID 17201118 ID 17301197 ID 18101273 http://hdl.handle.net/10361/21813 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. 73 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
ROS 6DOF Joint angles Path finding Kinematics Transfer learning Deep learning Multi-object tracking Data augmentation Robot farming Greenhouse Artificial intelligence Pattern recognition |
| spellingShingle |
ROS 6DOF Joint angles Path finding Kinematics Transfer learning Deep learning Multi-object tracking Data augmentation Robot farming Greenhouse Artificial intelligence Pattern recognition Islam, Md. Hashibul Wadud, Md. Firoz Rahman, Md. Raihan Alam, A S M Hasibul Greenhouse monitoring and harvesting mobile robot with 6DOF manipulator utilizing ROS, inverse kinematics and deep learning models |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. |
| author2 |
Rhaman, Md. Khalilur |
| author_facet |
Rhaman, Md. Khalilur Islam, Md. Hashibul Wadud, Md. Firoz Rahman, Md. Raihan Alam, A S M Hasibul |
| format |
Thesis |
| author |
Islam, Md. Hashibul Wadud, Md. Firoz Rahman, Md. Raihan Alam, A S M Hasibul |
| author_sort |
Islam, Md. Hashibul |
| title |
Greenhouse monitoring and harvesting mobile robot with 6DOF manipulator utilizing ROS, inverse kinematics and deep learning models |
| title_short |
Greenhouse monitoring and harvesting mobile robot with 6DOF manipulator utilizing ROS, inverse kinematics and deep learning models |
| title_full |
Greenhouse monitoring and harvesting mobile robot with 6DOF manipulator utilizing ROS, inverse kinematics and deep learning models |
| title_fullStr |
Greenhouse monitoring and harvesting mobile robot with 6DOF manipulator utilizing ROS, inverse kinematics and deep learning models |
| title_full_unstemmed |
Greenhouse monitoring and harvesting mobile robot with 6DOF manipulator utilizing ROS, inverse kinematics and deep learning models |
| title_sort |
greenhouse monitoring and harvesting mobile robot with 6dof manipulator utilizing ros, inverse kinematics and deep learning models |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/21813 |
| work_keys_str_mv |
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