Faulty sensor detection using data correlation of multivariant sensor reading in smart agriculture with IOT
The Internet of Things (IoT), the idea of getting real-world objects connected with each other, will change the ways we organize, obtain and consume information radically. Through sensor networks, agriculture can be connected to the IoT, which allows us to create connections among agronomists, farme...
Saved in:
Main Author: | Malik, Ahmed Dhahir |
---|---|
Format: | Thesis |
Language: | English English English |
Published: |
2019
|
Subjects: | |
Online Access: | http://eprints.uthm.edu.my/440/1/24p%20AHMED%20DHAHIR%20MALIK.pdf http://eprints.uthm.edu.my/440/2/AHMED%20DHAHIR%20MALIK%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/440/3/AHMED%20DHAHIR%20MALIK%20WATERMARK.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Faulty sensor detection mechanism using multi-variate sensors in IoT
by: Al-Atrakchii, Khaldoon Ammar
Published: (2019) -
Human daily activity recognition on sequential sensor data in smart homes
by: Juboor, Saed Sa'deh Suleiman
Published: (2019) -
Smart door lock based on bluetooth and IoT
by: Hashim Al-Tuma, Khalid Asaad
Published: (2019) -
A new sinkhole attack detection algorithm for RPL in wireless sensor networks (WSN)
by: Ali, Mohammed Qasim
Published: (2019) -
Enhancement of strain sensor sensitivity by combination of polarization maintaining fiber and single mode fiber in sagnac loop
by: Abdulrahman, Anas Malik
Published: (2019)