Name
Title | ||
|---|---|---|
A Framework for Artificial Intelligence Assisted Smart Agriculture Utilizing LoRaWAN Wireless Sensor Networks. |
Abstract | ||
|---|---|---|
Smart agriculture is gaining popularity because of its effectiveness in improving agriculture and conserving its scare resources. This paper demonstrates a work in progress framework which utilizes a Wireless Sensor Network (WSN) equipped with several agricultural sensors and connected internally via the ZigBee wireless protocol, while it is linked to the backhaul network via a Long Range Wide Area Network (LoRaWAN). At the backhaul network, sensor nodes are first authenticated before accessing the network resources, then sensors’ data is stored, processed, analyzed and agricultural related decisions are made by an agricultural expert system, which utilizes up-to-date Fuzzy Logic and Artificial Intelligent algorithms. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-030-52190-5_29 | SOFA |
DocType | Citations | PageRank |
Conference | 1 | 0.35 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ala' Khalifeh | 1 | 4 | 2.76 |
| Abdullah AlQammaz | 2 | 1 | 0.35 |
| Khalid A. Darabkh | 3 | 263 | 33.29 |
| Bashar Abu Sha’ar | 4 | 1 | 0.35 |
| Omar Ghatasheh | 5 | 1 | 0.69 |