Abstract: A computer-implemented method and corresponding system automate lawn service price estimation and scheduling. The method determines at least one physical feature of the topography. The topography is associated with a received physical address of a residence. The received address identifies a physical location associated with the topography. The method estimates parameters to perform a lawn service at the residence based on the at least one physical feature determined. The estimating employs machine learning. The method computes a cost estimate for the lawn service at the residence, automatically, based on the parameters estimated. The method computes a price estimate and outputs the price estimate computed to an electronic device. The automated lawn service price estimation enables a lawn service professional to provide price estimates to a customer, automatically, without having to travel to the residence to observe and perform physical measurements of the topography.