Using NLP to analyze requirements for Agriculture 4.0 applications

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Using NLP to analyze requirements for Agriculture 4.0 applications

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Using NLP to analyze requirements for Agriculture 4.0 applications

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/QK21010170" target="_blank" >QK21010170: Nová koncepce sadů s nástupem technologií 4.0</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2022 23RD INTERNATIONAL CARPATHIAN CONTROL CONFERENCE (ICCC)

ISBN

978-1-6654-6636-3

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

239-243

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

—

Místo konání akce

Sinaia, Romania

Datum konání akce

29. 5. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000925203600042