The horticulture sector, a key player in refrigeration consumption, is presently experiencing a significant digital overhaul. This transformation extends its needs from conventional cooling to emphasize energy efficiency and environmental sustainability throughout the refrigeration process.
The introduction of a new refrigeration strategy necessitates the integration of real-time data measurement and analysis systems. These systems facilitate cost optimization through continuous improvement initiatives, powered by predictive and optimization systems that execute intelligent actions autonomously. This shift represents a departure from the traditional refrigeration model, characterized by data scarcity and extensive manual maintenance, towards a model where 70% of actions are self-executing, promoting efficient energy management.
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