Remote monitoring system for outland precision farming
Date of Publication
6-2021
Document Type
Master's Thesis
Degree Name
Master of Science in Electronics and Communications Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics And Communications Engg
Thesis Advisor
Elmer P. Dadios
Defense Panel Chair
Edwin Sybingco
Defense Panel Member
Ryan Rhay Vicerra
Argel A. Bandala
Abstract/Summary
Precision farming is well-founded as the future of the agricultural industry. A Remote Monitoring System (RMS) is necessary to operate such systems. However, the availability of internet access is limited to some sectional rural configuration areas that is highly applicable for farm sites. Designing RMS requires a strong communication network between the operational activities of the farm area and remote devices. The contribution of the work is twofold: 1) provides resilient internet provision through cluster-based network architecture 2) design a decentralized remote monitoring and data acquisition system with local and cloud storage. Local network packets of the smart farm setup such as environmental sensor parameters and real time monitoring cameras, rather than being stopped at the gateway, are instead clustered into IP packets, and then locked and directed from the gateway to the best WAN online port available. The basic clustering and locking procedure forms an application overlay of the local network over the Internet. Instead of varying WAN IP port, all networks will have unique and fixed access to it that allows them to query and interact with the local network directly via large transparent gateway. The system is evaluated by measuring the received signal strength indicator (RSSI) of the networks.
Abstract Format
html
Language
English
Physical Description
xv, 161 leaves, illustrations (some color)
Keywords
Remote sensing; Precision farming
Recommended Citation
Alejandrino, J. D. (2021). Remote monitoring system for outland precision farming. Retrieved from https://animorepository.dlsu.edu.ph/etdm_ece/3
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Embargo Period
6-11-2021