Machine Learning for Prediction of Energy Consumption and Broken Force in the Chopping Process of Maize Straw

Machine Learning for Prediction of Energy Consumption and Broken Force in the Chopping Process of Maize Straw

The main causes of high productional costs and greenhouse gas emissions in the chopping process of maize straws are high energy consumption and breaking force. Addressing these issues, this paper proposes a solution that leverages machine-learning algorithms to select appropriate operational paramet...

Full description

Bibliographic Details
Main Authors: Peng Liu, Shangyi Lou, Huipeng Shen, Mingxu Wang
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Agronomy
Subjects:
maize straw retention
energy consumption
cutting force
prediction model
Online Access:https://www.mdpi.com/2073-4395/13/12/3030

Internet

https://www.mdpi.com/2073-4395/13/12/3030

Similar Items