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Using NLP to analyze requirements for Agriculture 4.0 appli..:
, In:
2022 23rd International Carpathian Control Conference (ICCC)
,
Jura, Jakub
;
Trnka, Pavel
;
Cejnek, Matous
- p. 239-243 , 2022
Link:
https://doi.org/10.1109/ICCC54292.2022.9805905
RT T1 <cTitle>2022 23rd International Carpathian Control Conference (ICCC)</cTitle>: T1 <Title>Using NLP to analyze requirements for Agriculture 4.0 applications</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9805905&Exemplar=1&LAN=DE A1 Jura, Jakub A1 Trnka, Pavel A1 Cejnek, Matous YR 2022 K1 Analytical models K1 Soil measurements K1 Unified modeling language K1 Tagging K1 Sensor phenomena and characterization K1 Control systems K1 Agriculture K1 NLP Natural Language Processing K1 POS tagging K1 Stemming K1 Lemmization UML Unified Modeling Language K1 Lexical analysis K1 UML model synthesis K1 Sensor network K1 Information system Development K1 Control system K1 Agriculture 4.0 K1 Smart Farming K1 Orchard management K1 Orchard 4.0 SP 239 OP 243 LK http://dx.doi.org/https://doi.org/10.1109/ICCC54292.2022.9805905 DO https://doi.org/10.1109/ICCC54292.2022.9805905 SF ELIB - SuUB Bremen
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