A robust regression model based on optimal feature set for simple decision making in indoor farms

This paper proposed a robust regression model for simple decision making in smart indoor farms. In our proposal, there are several steps to ensure the time-series data set which collected from sensor nodes in smart indoor farms are expanded to its features into new data set. The step tries to maximize features, then high corelated features with outcome in new data set will be filtered with strong threshold value.