Smart Fruit Growing Through Digital Twin Paradigm: Systematic Review and Technology Gap Analysis

This article provides a systematic review of innovations in smart fruit-growing. The research aims to highlight the technological gap and define the optimal studies in the near future moving toward smart fruit-growing based on a systematic review of literature for the period 2021–2022. The research...

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Main Authors: Apeinans Ilmars, Litavniece Lienite, Kodors Sergejs, Zarembo Imants, Lacis Gunars, Deksne Juta
Format: Article
Language:English
Published: Sciendo 2023-12-01
Series:Engineering Management in Production and Services
Subjects:
Online Access:https://doi.org/10.2478/emj-2023-0033
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author Apeinans Ilmars
Litavniece Lienite
Kodors Sergejs
Zarembo Imants
Lacis Gunars
Deksne Juta
author_facet Apeinans Ilmars
Litavniece Lienite
Kodors Sergejs
Zarembo Imants
Lacis Gunars
Deksne Juta
author_sort Apeinans Ilmars
collection DOAJ
description This article provides a systematic review of innovations in smart fruit-growing. The research aims to highlight the technological gap and define the optimal studies in the near future moving toward smart fruit-growing based on a systematic review of literature for the period 2021–2022. The research object is the technological gap until the smart fruit-growing. The research question of the systematic review was related to understanding the current application of vehicles, IoT, satellites, artificial intelligence, and digital twins, as well as active studies in these directions. The authors used the PRISMA 2020 approach to select and synthesise the relevant literature. The Scopus database was applied as an information source for the systematic review, completed from 10 May to 14 August 2022. Forty-three scientific articles were included in the study. As a result, the technology gap analysis was completed to highlight the current studies and the research trends in the near future moving toward smart fruit-growing. The proposed material will be useful background information for leaders and researchers working in smart agriculture and horticulture to make their strategic decisions considering future challenges and to optimise orchard management or study directions. Considering the current challenges, authors advise paying attention to decision-making, expert, and recommendation systems through the digital twin paradigm. This study will help the scientific community plan future studies optimising research to accelerate the transfer to new smart fruit-growing technologies as it is not sufficient to develop an innovation, but it must be done at the appropriate time.
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spelling doaj.art-5fee03e5c6e94f8585b702fa578023cb2024-01-02T11:35:06ZengSciendoEngineering Management in Production and Services2543-912X2023-12-0115412814310.2478/emj-2023-0033Smart Fruit Growing Through Digital Twin Paradigm: Systematic Review and Technology Gap AnalysisApeinans Ilmars0Litavniece Lienite1Kodors Sergejs2Zarembo Imants3Lacis Gunars4Deksne Juta51Rezekne Academy of Technologies, Latvia2Rezekne Academy of Technologies, Latvia3Rezekne Academy of Technologies, Latvia4Rezekne Academy of Technologies, Latvia5Institute of Horticulture, Latvia6Rezekne Academy of Technologies, LatviaThis article provides a systematic review of innovations in smart fruit-growing. The research aims to highlight the technological gap and define the optimal studies in the near future moving toward smart fruit-growing based on a systematic review of literature for the period 2021–2022. The research object is the technological gap until the smart fruit-growing. The research question of the systematic review was related to understanding the current application of vehicles, IoT, satellites, artificial intelligence, and digital twins, as well as active studies in these directions. The authors used the PRISMA 2020 approach to select and synthesise the relevant literature. The Scopus database was applied as an information source for the systematic review, completed from 10 May to 14 August 2022. Forty-three scientific articles were included in the study. As a result, the technology gap analysis was completed to highlight the current studies and the research trends in the near future moving toward smart fruit-growing. The proposed material will be useful background information for leaders and researchers working in smart agriculture and horticulture to make their strategic decisions considering future challenges and to optimise orchard management or study directions. Considering the current challenges, authors advise paying attention to decision-making, expert, and recommendation systems through the digital twin paradigm. This study will help the scientific community plan future studies optimising research to accelerate the transfer to new smart fruit-growing technologies as it is not sufficient to develop an innovation, but it must be done at the appropriate time.https://doi.org/10.2478/emj-2023-0033artificial intelligencedigital twinsmart horticultureorchardremote sensing
spellingShingle Apeinans Ilmars
Litavniece Lienite
Kodors Sergejs
Zarembo Imants
Lacis Gunars
Deksne Juta
Smart Fruit Growing Through Digital Twin Paradigm: Systematic Review and Technology Gap Analysis
Engineering Management in Production and Services
artificial intelligence
digital twin
smart horticulture
orchard
remote sensing
title Smart Fruit Growing Through Digital Twin Paradigm: Systematic Review and Technology Gap Analysis
title_full Smart Fruit Growing Through Digital Twin Paradigm: Systematic Review and Technology Gap Analysis
title_fullStr Smart Fruit Growing Through Digital Twin Paradigm: Systematic Review and Technology Gap Analysis
title_full_unstemmed Smart Fruit Growing Through Digital Twin Paradigm: Systematic Review and Technology Gap Analysis
title_short Smart Fruit Growing Through Digital Twin Paradigm: Systematic Review and Technology Gap Analysis
title_sort smart fruit growing through digital twin paradigm systematic review and technology gap analysis
topic artificial intelligence
digital twin
smart horticulture
orchard
remote sensing
url https://doi.org/10.2478/emj-2023-0033
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