Using NLP to analyze requirements for Agriculture 4.0 applications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F22%3A00365565" target="_blank" >RIV/68407700:21220/22:00365565 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ICCC54292.2022.9805905" target="_blank" >https://doi.org/10.1109/ICCC54292.2022.9805905</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICCC54292.2022.9805905" target="_blank" >10.1109/ICCC54292.2022.9805905</a>
Alternative languages
Result language
angličtina
Original language name
Using NLP to analyze requirements for Agriculture 4.0 applications
Original language description
This contribution describes the use of Natural Language Processing (NLP) methods for the lexical analysis of requirements for control, sensors, and information systems in the Agriculture 4.0 domain. The analysis is presented on an orchard 4.0 concept.The proposed orchard includes a sensor network (containing mainly measurements of hydrometeorological and soil variables), camera monitoring of conditions, and yield, support for autonomous robotic care and harvesting based on machine vision, prediction of appropriate times for interventions, etc. Requirements specification for mentioned system is written in natural language.A sentence splitting, Tokenization, Lemmatization, and POS (Part-of-Speech) tagging methods are applied to the mentioned structured requirements of the system and Use Case description. From these and by means of NLP, the candidates of classes, attributes, operations, and associations of the UML (Unified Modeling Language) class diagram are filtered and the UML model is synthesized. This paper presents the application of software engineering methods to support the development of complex heterogeneous sensors, information, and control systems.
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/QK21010170" target="_blank" >QK21010170: New orchard concept using technology 4.0</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2022 23RD INTERNATIONAL CARPATHIAN CONTROL CONFERENCE (ICCC)
ISBN
978-1-6654-6636-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
239-243
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
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Event location
Sinaia, Romania
Event date
May 29, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000925203600042