Smart agricultural system for crop monitoring and soil analysis
This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2022.
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Brac University
2024
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| Online Zugang: | http://hdl.handle.net/10361/22439 |
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10361-224392024-02-19T21:02:32Z Smart agricultural system for crop monitoring and soil analysis Das, Bristy Ul Hoq Sayor, Tahmid Zarif Nijhum, Rubyat Jahan Tishun, Mehnaz Tabassum Mohsin, Dr. Abu S.M. Department of Electrical and Electronic Engineering, Brac University Rover NPK sensor Inverse kinematics Robotic arm Harvesting Soil analysis Tomato Image processing Ripe Navigation Agricultural innovations. Agriculture--Automation. This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2022. Cataloged from PDF version of final year design project. Includes bibliographical references (pages 115-116). Agriculture is the base of the economy in Bangladesh, however, 90% of the farmers are not familiar with modern-technological tools. That is the reason why we see very-little usage of modern tools in farming in our country which limits crop production significantly. Hence to address this, a smart monitoring system is proposed to introduce farming robots to bring a strong revolution to the existing primitive systems. The proposed system will include a range of sensors, including cameras and probes, to detect ripe vegetables and harvest them, as well as analyze soil conditions and provide advice to farmers. The system will use image processing techniques and an NPK sensor. The primary objectives of the project are to reduce labor requirements and improve the efficiency of agricultural production. Advancements in technology will enable modern farms and agricultural businesses to utilize cutting-edge tools, robotic systems, and precision farming methods to become more successful, productive, safe, and environment friendly. Automated navigation and harvesting, crop growth monitoring, and crop disease detection can be achieved through the use of sensors, robotic arms, and machine learning algorithms, respectively. However, these advancements require sufficient data to train the machine learning models, making them a long-term goal for the future. Bristy Das Tahmid Zarif Ul Hoq Sayor Rubyat Jahan Nijhum Mehnaz Tabassum Tishun B. Electrical and Electronic Engineering 2024-02-19T06:03:40Z 2024-02-19T06:03:40Z 2022 2022-12 Project report ID: 19121123 ID: 19121015 ID: 19121111 ID: 19121024 http://hdl.handle.net/10361/22439 en Brac University project reports 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. 140 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Rover NPK sensor Inverse kinematics Robotic arm Harvesting Soil analysis Tomato Image processing Ripe Navigation Agricultural innovations. Agriculture--Automation. |
| spellingShingle |
Rover NPK sensor Inverse kinematics Robotic arm Harvesting Soil analysis Tomato Image processing Ripe Navigation Agricultural innovations. Agriculture--Automation. Das, Bristy Ul Hoq Sayor, Tahmid Zarif Nijhum, Rubyat Jahan Tishun, Mehnaz Tabassum Smart agricultural system for crop monitoring and soil analysis |
| description |
This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2022. |
| author2 |
Mohsin, Dr. Abu S.M. |
| author_facet |
Mohsin, Dr. Abu S.M. Das, Bristy Ul Hoq Sayor, Tahmid Zarif Nijhum, Rubyat Jahan Tishun, Mehnaz Tabassum |
| format |
Project report |
| author |
Das, Bristy Ul Hoq Sayor, Tahmid Zarif Nijhum, Rubyat Jahan Tishun, Mehnaz Tabassum |
| author_sort |
Das, Bristy |
| title |
Smart agricultural system for crop monitoring and soil analysis |
| title_short |
Smart agricultural system for crop monitoring and soil analysis |
| title_full |
Smart agricultural system for crop monitoring and soil analysis |
| title_fullStr |
Smart agricultural system for crop monitoring and soil analysis |
| title_full_unstemmed |
Smart agricultural system for crop monitoring and soil analysis |
| title_sort |
smart agricultural system for crop monitoring and soil analysis |
| publisher |
Brac University |
| publishDate |
2024 |
| url |
http://hdl.handle.net/10361/22439 |
| work_keys_str_mv |
AT dasbristy smartagriculturalsystemforcropmonitoringandsoilanalysis AT ulhoqsayortahmidzarif smartagriculturalsystemforcropmonitoringandsoilanalysis AT nijhumrubyatjahan smartagriculturalsystemforcropmonitoringandsoilanalysis AT tishunmehnaztabassum smartagriculturalsystemforcropmonitoringandsoilanalysis |
| _version_ |
1814308642525020160 |