Remote monitoring system for outland precision farming

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...

Full description

Saved in:
Bibliographic Details
Main Author: Alejandrino, Jonnel D.
Format: text
Language:English
Published: Animo Repository 2021
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/etdm_ece/3
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etdm_ece-1002
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:etdm_ece-10022022-07-05T02:43:00Z Remote monitoring system for outland precision farming Alejandrino, Jonnel D. 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. 2021-06-01T07:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/etdm_ece/3 Electronics And Communications Engineering Master's Theses English Animo Repository Remote sensing Precision farming
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 Remote sensing
Precision farming
spellingShingle Remote sensing
Precision farming
Alejandrino, Jonnel D.
Remote monitoring system for outland precision farming
description 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.
format text
author Alejandrino, Jonnel D.
author_facet Alejandrino, Jonnel D.
author_sort Alejandrino, Jonnel D.
title Remote monitoring system for outland precision farming
title_short Remote monitoring system for outland precision farming
title_full Remote monitoring system for outland precision farming
title_fullStr Remote monitoring system for outland precision farming
title_full_unstemmed Remote monitoring system for outland precision farming
title_sort remote monitoring system for outland precision farming
publisher Animo Repository
publishDate 2021
url https://animorepository.dlsu.edu.ph/etdm_ece/3
_version_ 1767195989510193152