A microcontroller-based plant-watering and pesticide-spraying automated outdoor garden mobile robot using neural networks
Date of Publication
2014
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
Subject Categories
Electrical and Electronics | Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Mark Lorenze Torregoza
Defense Panel Member
Alexander C. Abad
Jay Robert Del Rosario
Abstract/Summary
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.
Abstract Format
html
Language
English
Format
Accession Number
TU18419
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
186, 69 unnumbered leaves: ; illustrations (some colored) ; 28 cm.
Keywords
Spraying equipment--Calibration; Mobile robots; Pesticides--Application; Gardening--Equipment and supplies
Recommended Citation
Adriano, M. S., Alonzo, R. B., Avendano, K. B., Hung, M. D., & Valerio, A. R. (2014). A microcontroller-based plant-watering and pesticide-spraying automated outdoor garden mobile robot using neural networks. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/11330
