Amir Seyyedabbasi

Dr. Amir Seyyedabbasi

orcid
Associate Professor

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 April 2022 in Engineering with Computers
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Journal Article
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Amir SeyyedabbasiAmir Seyyedabbasi
Amir Seyyedabbasi
FKFarzad Kiani
Farzad Kiani

13 August 2019 in Engineering with Computers
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Journal Article
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Amir SeyyedabbasiAmir Seyyedabbasi
Amir Seyyedabbasi
FKFarzad Kiani
Farzad Kiani

1 July 2021 in Knowledge-Based Systems
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Journal Article
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Amir SeyyedabbasiAmir Seyyedabbasi
Amir Seyyedabbasi
RARoyal Aliyev
Royal Aliyev
FKFarzad Kiani
Farzad Kiani
MGMurat Ugur Gulle
Murat Ugur Gulle
HBHasan Basyildiz
Hasan Basyildiz
MSMohammed Ahmed Shah
Mohammed Ahmed Shah

24 January 2023 in Advances in Engineering Software
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Journal Article
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Amir SeyyedabbasiAmir Seyyedabbasi
Amir Seyyedabbasi

1 January 2018 in International Journal of Advanced Computer Science and Applications
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Journal Article
Open access
PDF file
FKFarzad Kiani
Farzad Kiani
Amir SeyyedabbasiAmir Seyyedabbasi
Amir Seyyedabbasi
Internet of Things is one of the most popular subjects nowadays where sensors and smart devices facilitate the provision of information and communication. In IoT, one of the main concepts is wireless sensor networks in which data is collected from all the sensors in a network characterized by low power consumption and a wide range of communication. In this study, an architecture to monitor soil moisture, temperature and humidity on small farms is provided. The main motivation for this study is to decrease water consumption whilst increasing productivity on small agricultural farms and precisions on them. This motivation is further propelled by the fact that agriculture is the backbone of some towns and most villages in most of the countries. Furthermore, some countries depend on farming as the main source of income. Putting the above-mentioned factors into consideration, the farm is divided into regions; the proposed system monitors soil moisture, humidity and temperature in the respective regions using wireless sensor networks, internet of things and sends a report to the end user. The report contains, as part of the information, a 10-day weather forecast. We believe that with the above information, the end user (farmer) can more efficiently schedule farm cultivation, harvesting, irrigation, and fertilization.