Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/31672
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tsakiridis, Sotirios | - |
dc.contributor.author | Papaioannou, Nikolaos | - |
dc.contributor.author | Tsimpiris, Alkiviadis | - |
dc.contributor.author | Varsamis, Dimitrios | - |
dc.contributor.author | Papakonstantinou, Apostolos | - |
dc.date.accessioned | 2024-02-28T10:43:30Z | - |
dc.date.available | 2024-02-28T10:43:30Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Contemporary Engineering Sciences, 2023, vol. 16, no. 1, pp. 55-70 | en_US |
dc.identifier.issn | 13147641 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/31672 | - |
dc.description.abstract | The use of contemporary information and communication technol- ogy to maximize agricultural output while reducing labor costs is known as ”smart agriculture”. This term is becoming more and more prevalent. The primary challenge in the agricultural sector lies in the vastness of crops, coupled with varied topography and soil instability, making con- trol challenging. In this paper, a system for determining the average predicted height of healthy plants at a given growth stage is proposed and evaluated. Based on this height, we then classify agricultural plants as healthy or unhealthy. It’s important to note that our system works with any crop kind and growth stage. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | Contemporary Engineering Sciences | en_US |
dc.rights | Creative Commons by-nc-nd Attribution License | en_US |
dc.subject | Unsupervised Learning | en_US |
dc.subject | UAV | en_US |
dc.subject | Smart Agriculture | en_US |
dc.subject | Clustering | en_US |
dc.title | Smart agriculture: Predictive height analysis for universal crop health classification | en_US |
dc.type | Article | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.collaboration | International Hellenic University | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.journals | Open Access | en_US |
dc.country | Cyprus | en_US |
dc.country | Greece | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.12988/ces.2023.93115 | en_US |
dc.relation.issue | 1 | en_US |
dc.relation.volume | 16 | en_US |
cut.common.academicyear | 2023-2024 | en_US |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.cerifentitytype | Publications | - |
item.openairetype | article | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0002-6464-2008 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Άρθρα/Articles |
Files in This Item:
File | Size | Format | |
---|---|---|---|
tsimpirisCES1-2023.pdf | 786.14 kB | Adobe PDF | View/Open |
CORE Recommender
Page view(s)
140
Last Week
1
1
Last month
30
30
checked on Mar 14, 2025
Download(s)
65
checked on Mar 14, 2025
Google ScholarTM
Check
Altmetric
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.