Use of Annotated Image Data for Fruit Diversity Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F24%3A43925846" target="_blank" >RIV/62156489:43110/24:43925846 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.11118/978-80-7509-990-7-0084" target="_blank" >https://doi.org/10.11118/978-80-7509-990-7-0084</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.11118/978-80-7509-990-7-0084" target="_blank" >10.11118/978-80-7509-990-7-0084</a>
Alternative languages
Result language
angličtina
Original language name
Use of Annotated Image Data for Fruit Diversity Analysis
Original language description
This paper deals with a method of development of an annotated image dataset for the detection and classification of plant tissues, aimed at supporting automation in agriculture. The work includes a collection of high-definition image data, their annotation and utility scripts, with the aim of creating a universally accessible dataset for the scientific community. The method is designed to be compatible with off-the-shelf hardware, in order to better support research and development in the field of automated plant identification and plant disease diagnostics. This approach has the potential to significantly improve the efficiency of cultivation processes and support the implementation of advanced technologies in the agricultural sector, along with the automation of this sector.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_017%2F0002334" target="_blank" >EF16_017/0002334: Research Infrastructure for Young Scientists</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
26th International Conference Economic Competitiveness and Sustainability: Proceedings
ISBN
978-80-7509-990-7
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
84-92
Publisher name
Mendelova univerzita v Brně
Place of publication
Brno
Event location
Brno
Event date
Mar 21, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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