Development of multiple banding-robot system for intelligent nitrogen application

Despite being an agricultural country, the Philippine agricultural sector remains the poorest in the country. Due to the absence of advanced tools for farming and inefficient management systems, cultivation of crops is not economically implemented. As a result, the country experiences food shortage...

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Main Authors: Amado, Dan Paulo E., Mirida, Joanna Katherine U.
Format: text
Language:English
Published: Animo Repository 2017
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Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/14888
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Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etd_bachelors-6289
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-62892021-05-14T00:26:37Z Development of multiple banding-robot system for intelligent nitrogen application Amado, Dan Paulo E. Mirida, Joanna Katherine U. Despite being an agricultural country, the Philippine agricultural sector remains the poorest in the country. Due to the absence of advanced tools for farming and inefficient management systems, cultivation of crops is not economically implemented. As a result, the country experiences food shortage and is forced to import crops from other countries. This research aims to improve certain areas affecting this concern, specifically on the methods of distributing fertilizers with optimal efficiency. This research introduced a multi-robot system capable of semi-automating the tedious but efficient ask of applying fertilizers called banding. With the use of Raspberry Pi and an infrared camera, computer vision was utilized in scanning the crop field in order to identify the plants that needed fertilizer based on its Normalized Difference Vegetation Index (NDVI). The robots running on Arduino Uno, Gizduino Mini and Rasberry PI were dependent on the NDVI provided by the aerial camera system. Furthermore, this research implemented vision-based algorithms in the location and navigation of the robots. The communication network of the system operated on Wi-Fi technology due to the mobile nature of the robots. The system was successfully tested and implemented on a local field in the Philippines. 2017-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/14888 Bachelor's Theses English Animo Repository Fertilizer spreaders Robotics Electronics in agriculture Agricultural innovations Computer Engineering Electrical and Computer Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Fertilizer spreaders
Robotics
Electronics in agriculture
Agricultural innovations
Computer Engineering
Electrical and Computer Engineering
spellingShingle Fertilizer spreaders
Robotics
Electronics in agriculture
Agricultural innovations
Computer Engineering
Electrical and Computer Engineering
Amado, Dan Paulo E.
Mirida, Joanna Katherine U.
Development of multiple banding-robot system for intelligent nitrogen application
description Despite being an agricultural country, the Philippine agricultural sector remains the poorest in the country. Due to the absence of advanced tools for farming and inefficient management systems, cultivation of crops is not economically implemented. As a result, the country experiences food shortage and is forced to import crops from other countries. This research aims to improve certain areas affecting this concern, specifically on the methods of distributing fertilizers with optimal efficiency. This research introduced a multi-robot system capable of semi-automating the tedious but efficient ask of applying fertilizers called banding. With the use of Raspberry Pi and an infrared camera, computer vision was utilized in scanning the crop field in order to identify the plants that needed fertilizer based on its Normalized Difference Vegetation Index (NDVI). The robots running on Arduino Uno, Gizduino Mini and Rasberry PI were dependent on the NDVI provided by the aerial camera system. Furthermore, this research implemented vision-based algorithms in the location and navigation of the robots. The communication network of the system operated on Wi-Fi technology due to the mobile nature of the robots. The system was successfully tested and implemented on a local field in the Philippines.
format text
author Amado, Dan Paulo E.
Mirida, Joanna Katherine U.
author_facet Amado, Dan Paulo E.
Mirida, Joanna Katherine U.
author_sort Amado, Dan Paulo E.
title Development of multiple banding-robot system for intelligent nitrogen application
title_short Development of multiple banding-robot system for intelligent nitrogen application
title_full Development of multiple banding-robot system for intelligent nitrogen application
title_fullStr Development of multiple banding-robot system for intelligent nitrogen application
title_full_unstemmed Development of multiple banding-robot system for intelligent nitrogen application
title_sort development of multiple banding-robot system for intelligent nitrogen application
publisher Animo Repository
publishDate 2017
url https://animorepository.dlsu.edu.ph/etd_bachelors/14888
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