Experimental Studies of the Digital Twin of Plant based on Ontologies and Multi-Agent Technologies DOI Open Access
Petr Skobelev, Aleksey Tabachinskiy, Anatoly Strizhakov

et al.

WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT, Journal Year: 2024, Volume and Issue: 20, P. 624 - 632

Published: Nov. 22, 2024

The article discusses the results of research achieved in field developing an intelligent digital twin plants (DTP). An ontological model crop production process is proposed, and expanded by including descriptions physiological technological factors: predecessors rotation, seed reproduction, consumption macro-elements from soil. multi-agent DTP has been modified to account for morphological characteristics varieties, as well parameters each phenological phase plant. A software prototype presented, implementing developed methods simulating plants. Experimental cultivation crops using was conducted 2022/2023 season. obtained datasets during experiments will be used calibrate improve accuracy predicting plant at phase.

Language: Английский

Digital Twin-Based Applications in Crop Monitoring DOI Creative Commons
Tsega Y. Melesse

Heliyon, Journal Year: 2025, Volume and Issue: 11(2), P. e42137 - e42137

Published: Jan. 1, 2025

Technological advances in agriculture, particularly the use of digital twins, are having a significant impact on crop management. This article explores twins management, focusing modeling methodologies, roles, implementation architecture, challenges, and prospects. The review identifies various methods for twin development monitoring, including physics-based, agent-based, data-driven, hybrid, spatial models. These models provide up-to-date information environmental conditions, soil moisture, other variables affecting yield. Despite being its early stages implementation, technology is showing signs progress, suggesting it could be next step farming's digitalization, increasing visibility transparency, improving decision-making processes. offers valuable insights fills research gaps, enabling informed decisions farmers, policymakers, service providers to enhance productivity, sustainability, resilience modern agriculture.

Language: Английский

Citations

0

Double Wins: Utilizing Digital Solutions in Agriculture to Attain Gender and Climate Goals DOI
Niyati Singaraju,

Shalini Gakhar,

Aayushi Malhotra

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Harnessing Digital Twins for Sustainable Agricultural Water Management: A Systematic Review DOI Creative Commons

Rameez Ahsen,

Pierpaolo Di Bitonto, Pierfrancesco Novielli

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(8), P. 4228 - 4228

Published: April 11, 2025

This systematic review explores the use of digital twins (DT) for sustainable agricultural water management. DTs simulate real-time environments, enabling precise resource allocation, predictive maintenance, and scenario planning. AI enhances DT performance through machine learning (ML) data-driven insights, optimizing usage. In this study, from an initial pool 48 papers retrieved well-known databases such as Scopus Web Science, etc., a rigorous eligibility criterion was applied, narrowing focus to 11 pertinent studies. highlights major disciplines where technology is being applied: hydroponics, aquaponics, vertical farming, irrigation. Additionally, literature identifies two key sub-applications within these disciplines: simulation prediction quality soil water. also types maturity levels concepts applications. Based on their current implementation, in agriculture can be categorized into functional types: monitoring DTs, which emphasize response environmental control, enable proactive irrigation management forecasting. techniques used framework were identified based These findings underscore transformative role that play enhancing efficiency sustainability Despite technological advancements, challenges remain, including data integration, scalability, cost barriers. Further studies should conducted explore issues practical farming environments.

Language: Английский

Citations

0

Simulink-Driven Digital Twin Implementation for Smart Greenhouse Environmental Control DOI
Jehangir Arshad,

Ch. Ahsan Abbas Sheheryar,

Mohammad Khalid Imam Rahmani

et al.

Egyptian Informatics Journal, Journal Year: 2025, Volume and Issue: 30, P. 100679 - 100679

Published: April 17, 2025

Language: Английский

Citations

0

A Comprehensive Review of Digital Twins Technology in Agriculture DOI Creative Commons

R. H. Zhang,

Hua-Xiang ZHU,

Qinglin Chang

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(9), P. 903 - 903

Published: April 22, 2025

Digital Twin (DT) technology has emerged as a transformative tool in various sectors, like agriculture, due to its potential improve productivity, sustainability, and decision making processes. This paper provides comprehensive review of the applications, challenges, future directions DT agriculture. We explore key concepts architecture DTs, focusing on layering classification systems. The delves into applications such crop planting management, pest disease control, livestock optimization agricultural machinery resource, support Furthermore, we highlight integration data acquisition, simulation, modeling techniques that form backbone effective implementation. Despite promising potential, adoption DTs agriculture faces several technical including acquisition issues, difficulties, standardization 3D models. Finally, discuss direction technology, emphasizing importance overcoming existing barriers for wider application sustainability.

Language: Английский

Citations

0

Product digital twins: An umbrella review and research agenda for understanding their value DOI Creative Commons

Francisco Gomez Medina,

Veronica Martinez Hernandez

Computers in Industry, Journal Year: 2024, Volume and Issue: 164, P. 104181 - 104181

Published: Sept. 21, 2024

Language: Английский

Citations

1

Review of Existing Tools for Software Implementation of Digital Twins in the Power Industry DOI Creative Commons

Irina Iumanova,

Павел Матренин, Alexandra I. Khalyasmaa

et al.

Inventions, Journal Year: 2024, Volume and Issue: 9(5), P. 101 - 101

Published: Sept. 19, 2024

Digital twin technology is an important tool for the digitalization of power industry. A digital a concept that allows creation virtual copies real objects can be used technical state analysis, predictive and optimization operation systems their components. twins are to address different issues, including management equipment reliability efficiency, integration renewable energy sources, increased flexibility adaptability grids. developed with use specialized software solutions designing, prototyping, developing, deploying, supporting. The existing diversity requires systematization well-informed choice twin’s development tool. It necessary take into account characteristics elements (equipment plants, substations grids systems, mini- microgrids). reviews dedicated tools creating in usage Twin Definition Language description data electromagnetic, thermal, hydrodynamic models transformer presented.

Language: Английский

Citations

0

Digital Twins for Research and Innovation in Support of the European Green Deal Data Space: A Systematic Review DOI Creative Commons
Kaori Otsu, Joan Masó

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(19), P. 3672 - 3672

Published: Oct. 1, 2024

According to the European Data Strategy established in 2020, Open Science Cloud (EOSC) is described as “the basis for a science, research and innovation data space… will be connected articulated with sectoral spaces”, being one of 14 Common Spaces. While current cross-sectoral interactions EOSC are realised through association’s Health Task Force, advancements other EU priorities, such Green Deal Digital Strategy, should accelerated green digital transitions integrated by reinforcing each climate-neutral 2050. With this motivation, paper systematically reviews spaces twins (DTs) within context innovation. Specifically, focusing on relevance Space (GDDS) DTs Earth, relationship between them explored using topic search various keyword combinations Web CORDIS databases. Based selected scientific articles projects, collaboration opportunities mapped connect relevant stakeholders. Furthermore, existing developing service components that could contribute technical building blocks GDDS identified. In summary, key findings highlighted, addressing gaps among initiatives presented review.

Language: Английский

Citations

0

Experimental Studies of the Digital Twin of Plant based on Ontologies and Multi-Agent Technologies DOI Open Access
Petr Skobelev, Aleksey Tabachinskiy, Anatoly Strizhakov

et al.

WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT, Journal Year: 2024, Volume and Issue: 20, P. 624 - 632

Published: Nov. 22, 2024

The article discusses the results of research achieved in field developing an intelligent digital twin plants (DTP). An ontological model crop production process is proposed, and expanded by including descriptions physiological technological factors: predecessors rotation, seed reproduction, consumption macro-elements from soil. multi-agent DTP has been modified to account for morphological characteristics varieties, as well parameters each phenological phase plant. A software prototype presented, implementing developed methods simulating plants. Experimental cultivation crops using was conducted 2022/2023 season. obtained datasets during experiments will be used calibrate improve accuracy predicting plant at phase.

Language: Английский

Citations

0