Supervised Machine Learning Models for Forecasting Fuel Consumption by Vehicles During the Grain Crops Delivery
Viktoriia Kotenko,
Vasyl Onyshchuk,
Valerii Stelmashchuk
Abstract:In the work possibilities of applying computational intelligence, namely machine learning models, in the grain crops delivery from agricultural enterprises to the elevator are analyzed. The expediency of using regression models of machine learning to forecast fuel consumption by vehicles during the grain crops delivery is established. Based on the historical data of the enterprise on the orders execution for the grain crops delivery, which include key factors influencing fuel consumption, the article forecasts… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.