Title | ||
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Grape Leaf Diseases Identification System Using Convolutional Neural Networks and LoRa Technology |
Abstract | ||
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Image transmission over Low-Power Wide Area Networks (LP-WAN) protocols has always been a difficult task since it necessitates high data rates and high energy consumption. Long Range (LoRa) is one such protocol, which is excellent for transferring data over long distances but has generated severe doubts regarding the viability of image transmission due to its low data rate. This paper demonstrates... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/ACCESS.2021.3138050 | IEEE Access |
Keywords | DocType | Volume |
Diseases,Pipelines,Protocols,Monitoring,Internet of Things,Temperature sensors,Temperature measurement | Journal | 10 |
ISSN | Citations | PageRank |
2169-3536 | 0 | 0.34 |
References | Authors | |
0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zinon Zinonos | 1 | 0 | 0.34 |
Socratis Gkelios | 2 | 0 | 0.68 |
Ala F. Khalifeh | 3 | 0 | 0.34 |
Diofantos G. Hadjimitsis | 4 | 0 | 0.34 |
Yiannis S. Boutalis | 5 | 0 | 0.34 |
Savvas A. Chatzichristofis | 6 | 810 | 44.88 |