Added Title
Implementation of a lo-power wireless sensor network for smart farm applications
Date of Publication
1-23-2019
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Electronics and Communications Engineering
Subject Categories
Electrical and Computer Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Elmer P. Dadioa
Defense Panel Chair
Argel A. Bandala
Defense Panel Member
Alvin B. Culaba
Laurence A. Gan Lim
Ryan Rhay P. Vicerra
Raouf N.G. Naguib
Abstract/Summary
Smart farming or precision agriculture is considered to be the future of the agricultural industry. This technology has a real potential to deliver a more productive and sustainable agricultural production using a more precise and resource-efficient approach as compared to traditional farming. The incorporation of smart farming technologies, like continuous plant growth monitoring and optimized water and energy resource management, is suitable for efficient crops production. This can only be achieved by employing the concept of Internet-of-Things (IoT) or wireless sensor networks (WSN) in the farm. WSN plays an important key factor in the real-time monitoring of critical growth parameters of any given crops. This paper provided different technologies pertaining to the application of WSN in various smart farm technological components such as the irrigation or water, power, lighting and controlled chamber. Starting from the physical and network setup up to the application platform, the study provided all the necessary detailed information to develop a smart system – a system that is adaptive and flexible that can be used both for real-time monitoring and controls.
Abstract Format
html
Language
English
Format
Electronic
Accession Number
CDTG007970
Keywords
Agricultural innovations; Wireless sensor networks; Internet of things
Recommended Citation
Baldovino, R. G. (2019). Intelligent monitoring and controls for remote smart farm with low-power wide area network. Retrieved from https://animorepository.dlsu.edu.ph/etd_doctoral/1447
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Embargo Period
1-10-2023
Note
Title on CD case: Implementation of a lo-power wireless sensor network for smart farm applications