A microcontroller-based plant-watering and pesticide-spraying automated outdoor garden mobile robot using neural networks

Robots have been significantly used in todays world to perform labor tasks for human beings ever since technology has advance throughout the years. The field of robotics has served as solutions for many different sectors of issues in our world, particularly in medicinal, environmental, military, and...

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Main Authors: Adriano, Mary Louise S., Alonzo, Raymond Immanuel B., Avendano, Kevin Rhay B., Hung, Mark Lester D., Valerio, Arielle Erika R.
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Language:English
Published: Animo Repository 2014
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Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/11330
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Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etd_bachelors-11975
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-119752022-03-08T03:24:13Z A microcontroller-based plant-watering and pesticide-spraying automated outdoor garden mobile robot using neural networks Adriano, Mary Louise S. Alonzo, Raymond Immanuel B. Avendano, Kevin Rhay B. Hung, Mark Lester D. Valerio, Arielle Erika R. Robots have been significantly used in todays world to perform labor tasks for human beings ever since technology has advance throughout the years. The field of robotics has served as solutions for many different sectors of issues in our world, particularly in medicinal, environmental, military, and many more. Presently, we are faced with serious problems concerning our environment such as climate change, ecological imbalance, and pollution. As a result, gardening has become more of a necessity rather than a hobby. This study aims to develop an automated mobile robot that will navigate outdoor gardens in a controlled environment and predetermined path to be able to water and spray pesticide on plants when necessary using a microcontroller. The automated garden mobile robot will also be able to detect plants and its types through a vision system using an IP-based high resolution camera that is to be mounted on the robot itself. For the robot to undergo image processing and detect a plant and its type, the system will be using neural networks for its intelligence. A desktop PC will be used to interpret and process data sent by the robot through the use of a wireless communication module, and transmit another set of data back to the robot for the specific task to be performed. A proximity sensor and a line sensor assume the role of the predetermined path. 2014-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/11330 Bachelor's Theses English Animo Repository Spraying equipment--Calibration Mobile robots Pesticides--Application Gardening--Equipment and supplies Electrical and Electronics 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 Spraying equipment--Calibration
Mobile robots
Pesticides--Application
Gardening--Equipment and supplies
Electrical and Electronics
Engineering
spellingShingle Spraying equipment--Calibration
Mobile robots
Pesticides--Application
Gardening--Equipment and supplies
Electrical and Electronics
Engineering
Adriano, Mary Louise S.
Alonzo, Raymond Immanuel B.
Avendano, Kevin Rhay B.
Hung, Mark Lester D.
Valerio, Arielle Erika R.
A microcontroller-based plant-watering and pesticide-spraying automated outdoor garden mobile robot using neural networks
description Robots have been significantly used in todays world to perform labor tasks for human beings ever since technology has advance throughout the years. The field of robotics has served as solutions for many different sectors of issues in our world, particularly in medicinal, environmental, military, and many more. Presently, we are faced with serious problems concerning our environment such as climate change, ecological imbalance, and pollution. As a result, gardening has become more of a necessity rather than a hobby. This study aims to develop an automated mobile robot that will navigate outdoor gardens in a controlled environment and predetermined path to be able to water and spray pesticide on plants when necessary using a microcontroller. The automated garden mobile robot will also be able to detect plants and its types through a vision system using an IP-based high resolution camera that is to be mounted on the robot itself. For the robot to undergo image processing and detect a plant and its type, the system will be using neural networks for its intelligence. A desktop PC will be used to interpret and process data sent by the robot through the use of a wireless communication module, and transmit another set of data back to the robot for the specific task to be performed. A proximity sensor and a line sensor assume the role of the predetermined path.
format text
author Adriano, Mary Louise S.
Alonzo, Raymond Immanuel B.
Avendano, Kevin Rhay B.
Hung, Mark Lester D.
Valerio, Arielle Erika R.
author_facet Adriano, Mary Louise S.
Alonzo, Raymond Immanuel B.
Avendano, Kevin Rhay B.
Hung, Mark Lester D.
Valerio, Arielle Erika R.
author_sort Adriano, Mary Louise S.
title A microcontroller-based plant-watering and pesticide-spraying automated outdoor garden mobile robot using neural networks
title_short A microcontroller-based plant-watering and pesticide-spraying automated outdoor garden mobile robot using neural networks
title_full A microcontroller-based plant-watering and pesticide-spraying automated outdoor garden mobile robot using neural networks
title_fullStr A microcontroller-based plant-watering and pesticide-spraying automated outdoor garden mobile robot using neural networks
title_full_unstemmed A microcontroller-based plant-watering and pesticide-spraying automated outdoor garden mobile robot using neural networks
title_sort microcontroller-based plant-watering and pesticide-spraying automated outdoor garden mobile robot using neural networks
publisher Animo Repository
publishDate 2014
url https://animorepository.dlsu.edu.ph/etd_bachelors/11330
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