2020
DOI: 10.1016/j.comnet.2019.107039
|View full text |Cite
|
Sign up to set email alerts
|

Keeping data at the edge of smart irrigation networks: A case study in strawberry greenhouses

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
19
0
1

Year Published

2020
2020
2023
2023

Publication Types

Select...
4
2
1
1

Relationship

1
7

Authors

Journals

citations
Cited by 49 publications
(20 citation statements)
references
References 25 publications
0
19
0
1
Order By: Relevance
“…The salt concentration of the nutrient solution can change over time, affecting the sensor reading. Therefore, the differential values of the sensor over time are more relevant than directly measured results [23].…”
Section: Sensorsmentioning
confidence: 99%
See 1 more Smart Citation
“…The salt concentration of the nutrient solution can change over time, affecting the sensor reading. Therefore, the differential values of the sensor over time are more relevant than directly measured results [23].…”
Section: Sensorsmentioning
confidence: 99%
“…These types of boards usually have larger power requirements and dimensions. There are hybrid solutions based on a microcontroller board with a tiny OS (e.g., RTOS, MicroPython) [23].…”
Section: Data Acquisitionmentioning
confidence: 99%
“…The aforementioned advances shape a technological ecosystem for cyber-physical systems that not only are able to collect sensory data from the physical environment but can process this data and take decisions locally. This is highly relevant since IoT data are typically characterized by timeliness and their value is highly localized [4], [5].…”
Section: Iot and Edge Computingmentioning
confidence: 99%
“…With the aid of WSN, it was monitored when the plant needs to be irrigated. Constantinos Marios Angelopoulos et al [100], developed a small scale smart irrigation prototype for a strawberry greenhouse. The prototype possesses off the shelf hardware and software requirements and was tested on large farms having multiple crops to get a data gain.…”
Section: B Iot In Irrigationmentioning
confidence: 99%