Unveiling the potential of sustainable agriculture: A comprehensive survey on the advancement of AI and sensory data for smart greenhouses DOI Creative Commons

Rabia Al-Qudah,

Mrouj Almuhajri, Ching Y. Suen

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 229, P. 109721 - 109721

Published: Dec. 12, 2024

Language: Английский

A digital twin system for centrifugal pump fault diagnosis driven by transfer learning based on graph convolutional neural networks DOI
Zifeng Xu, Zhe Wang,

Chaojia Gao

et al.

Computers in Industry, Journal Year: 2024, Volume and Issue: 163, P. 104155 - 104155

Published: Aug. 30, 2024

Language: Английский

Citations

7

Advanced Energy Performance Modelling: Case Study of an Engineering and Technology Precinct DOI Creative Commons
Faham Tahmasebinia, Lin Lin,

Shuo Wu

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(6), P. 1774 - 1774

Published: June 12, 2024

The global demand for energy is significantly impacted by the consumption patterns within building sector. As such, importance of simulation and prediction growing exponentially. This research leverages Building Information Modelling (BIM) methodologies, creating a synergy between traditional software methods algorithm-driven approaches comprehensive analysis. study also proposes method monitoring select management factors, step that could potentially pave way integration digital twins in systems. grounded case newly constructed educational New South Wales, Australia. physical model was created using Autodesk Revit, conventional BIM methodology. EnergyPlus, facilitated OpenStudio, employed software-based analysis output then used to develop preliminary algorithm models regression strategies Python. In this analysis, temperature relative humidity each unit were as independent variables, with their being dependent variable. sigmoid model, known its accuracy interpretability, advanced simulation. combined sensor data real-time prediction. A basic twin (DT) example simulate dynamic control air conditioning lighting, showcasing adaptability effectiveness system. explores potential machine learning, specifically reinforcement optimizing response environmental changes usage conditions. Despite current limitations, identifies future directions. These include enhancing developing complex algorithms boost efficiency reduce costs.

Language: Английский

Citations

4

Data Enabling Technology in Digital Twin and its Frameworks in Different Industrial Applications DOI

R. Mohanraj,

Banda Krishna Vaishnavi

Journal of Industrial Information Integration, Journal Year: 2025, Volume and Issue: unknown, P. 100793 - 100793

Published: Feb. 1, 2025

Language: Английский

Citations

0

Digital twin enhanced with Machine Learning Algorithms for Irrigation Management Using Sensor Data DOI Open Access
Giovanni Paolo Carlo Tancredi, Luca Preite, Giuseppe Vignali

et al.

Procedia Computer Science, Journal Year: 2025, Volume and Issue: 253, P. 2419 - 2427

Published: Jan. 1, 2025

Language: Английский

Citations

0

Energy Saving Management in Russian Agriculture Using Digital Technologies DOI
Е. И. Кузнецова, Anna N. Kogteva, N. M. Shevtsova

et al.

Lecture notes in networks and systems, Journal Year: 2025, Volume and Issue: unknown, P. 337 - 348

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

Cloud computing and digital twin-based healthcare monitoring frameworks for next generation DOI

G. Balamurugan,

Shabnam Kumari, Amit Kumar Tyagi

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 193 - 212

Published: Jan. 1, 2025

Language: Английский

Citations

0

Exploring the Comprehensive Integration of Artificial Intelligence in Optimizing HVAC System Operations: A Review and Future Outlook DOI Creative Commons

Shengze Lu,

Shiyu Zhou, Yan Ding

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103765 - 103765

Published: Dec. 1, 2024

Language: Английский

Citations

3

Rethinking and redesigning storage, packaging and distribution practices for food supply chain DOI
Shih‐Hao Lu, Rohit Raj,

Anupama Mahajan

et al.

British Food Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 10, 2024

Purpose The study aims to add the existing literature on food supply chains by specifically taking into redesigning of alignment storage, packaging and distribution practices in modern complex chain. redesign chain’s is a transformative endeavor ultimately aimed at enhancing efficiency, sustainability reliability. Design/methodology/approach In order identify, classify prioritize main challenges, this conducted an extensive analysis experts’ opinions areas academia, information technology chain (FSC) using combined compromise solution method (CoCoSo) proportional assessment (COPRAS). Findings top three classes key indicators revealed are dynamic route optimization on-demand delivery pods (RD4), implementation active with nanotechnology (RP3) collaborative last-mile (RD2). findings reveal that (RD4) (RD2) maintaining balance between networks through which very discussable theme recent literature. Originality/value research provides fresh insights how perishable shelf life parameters use within short can be taken consideration when system for chains.

Language: Английский

Citations

2

Special Issue on Digital Twin for Future Networks and Emerging IoT Applications (DT4IoT) DOI
Akram Hakiri, Sadok Ben Yahia, Aniruddha Gokhale

et al.

Future Generation Computer Systems, Journal Year: 2024, Volume and Issue: 161, P. 81 - 84

Published: June 28, 2024

Language: Английский

Citations

1