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Elenco Pubblicazioni - Publications (1779)

C. Bua, D. Adami, S. Giordano: "Multi-Digital Twin Control System Using Reinforcement Learn-ing: A Case Study on Greenhouse Lighting", 2026 IEEE Network Operations and Management Symposium (NOMS), May 2026.

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Artificial lighting represents a major source of energy consumption in greenhouse production, while optimal photosynthetic photon flux density (PPFD) requirements vary across space and time. This paper introduces a multi-digital twin adaptive lighting control framework…
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P. Ghose, A. Bashir, Y. Wang, C. Bua, A. Zahid: "YOLO-SAM AgriScan: A Unified Framework for Ripe Strawberry Detection and Segmentation with Few-Shot and Zero-Shot Learning", Sensors, December 2025.

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Traditional segmentation methods are slow and rely on manual annotations, which are labor-intensive. To address these limitations, we propose YOLO-SAM AgriScan, a unified framework that combines the fast object detection capabilities of YOLOv11 with the…
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C. Bua, Y. Wang, M. O. Ojo, S. Giordano, A. Zahid: "Digital Twin-Enabled Multi-Zone Adaptive Lighting Control in Greenhouses Using Reinforcement Learning Optimization", Smart Agricultur-al Technology, March 2026.

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Greenhouse lighting is vital for plant growth and contributes to nearly 30% of operational costs. However, managing lighting in response to dynamic sunlight conditions and varying photosynthetic photon flux density (PPFD) requirements across crop types…
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M. Ojo, Y. Wang, C. Bua, M. Sher, A. Zahid: "A Crop Digital Twin System for Predictive Growth Monitoring and Adaptive Light Control in Controlled Environment Agriculture", Internet of Things, March 2026.

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Controlled Environment Agriculture (CEA) offers advantages, including improved yields, enhanced quality, and reduced waste compared to conventional farming. However, achieving optimized growth strategies remains a challenge. This study introduces a comprehensive framework for a Crop…
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C. Bua, M. O. Ojo, Y. Wang, S. Giordano, A. Zahid: "A Multidigital Twin Paradigm Using Rein-forcement Learning and Virtual Sensing in Greenhouse Lighting Control", IEEE Transactions on Industrial Informatics, May 2026.

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Digital twin (DT) technologies have recently been adopted to support adaptive control, yet most existing approaches rely on a single DT and a predefined control paradigm, assuming its global optimality across all operating conditions. This…
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