Machine Learning of Control Grades Classification for Land Use Regulations

Key Points

• This research aims to improve the classification of control grades in land use regulations using machine learning techniques.
• Analyzed various machine learning algorithms for classifying land use control grades.
• Evaluated the performance of models in terms of accuracy and efficiency.
• Incorporated data from environmental and engineering perspectives.
• Demonstrated improved accuracy in classifying control grades using machine learning methods.
• Highlights the potential for enhanced management practices in land use regulations.