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Research Name A Study on the Operation Model of Optimal Environment Control in Indoor Vertical Farms Using Public Data
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Summary
This study presents a new approach to confront these challenges through the use of public data. Public data includes climate, soil conditions, and crop growth information, which can make an important contribution to key decision-making in smart agriculture. The purpose of this study is to propose an operating model for customized environmental control of indoor vertical farms in a smart farm environment using these public data. Through this, we aim to improve agricultural efficiency and productivity and achieve sustainable development in agriculture.
The research begins with analyzing the various types and characteristics of public data. This data lays the foundation for effective use in a smart farm environment. Next, we develop data analysis and prediction models to derive insights necessary for customized environmental control in a smart farm environment. The developed model is applied to an actual smart farm environment to verify its effectiveness and applicability.
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