
Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 229, P. 109721 - 109721
Published: Dec. 12, 2024
Language: Английский
Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 229, P. 109721 - 109721
Published: Dec. 12, 2024
Language: Английский
Computers in Industry, Journal Year: 2024, Volume and Issue: 163, P. 104155 - 104155
Published: Aug. 30, 2024
Language: Английский
Citations
7Buildings, 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
4Journal of Industrial Information Integration, Journal Year: 2025, Volume and Issue: unknown, P. 100793 - 100793
Published: Feb. 1, 2025
Language: Английский
Citations
0Procedia Computer Science, Journal Year: 2025, Volume and Issue: 253, P. 2419 - 2427
Published: Jan. 1, 2025
Language: Английский
Citations
0Lecture notes in networks and systems, Journal Year: 2025, Volume and Issue: unknown, P. 337 - 348
Published: Jan. 1, 2025
Language: Английский
Citations
0Applied 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
0Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 193 - 212
Published: Jan. 1, 2025
Language: Английский
Citations
0Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103765 - 103765
Published: Dec. 1, 2024
Language: Английский
Citations
3British 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
2Future Generation Computer Systems, Journal Year: 2024, Volume and Issue: 161, P. 81 - 84
Published: June 28, 2024
Language: Английский
Citations
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