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July 2024
Digital twin framework for smart greenhouse management using next-gen mobile networks and machine learning
Future Generation Computer Systems (FGCS), Volume 156, Issue CPages 285–300https://doi.org/10.1016/j.future.2024.03.023
Abstract
Due to the increase in world population, arable land has been reduced. Consequently, the concept of urban greenhouses is on the rise. Smart greenhouses need to monitor physical parameters for the healthy growth of plants from remote locations. A ...
Highlights

Addresses arable land challenges with Digital Twin.
Utilizes real-time data for optimized decisions.
Explores NGMN for enhanced IoT operations.
Demonstrates concept with practical framework.
Enhances Smart Greenhouse with ...
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