Monitoring and sustainable management of soil microbial environmental quality based on machine learning

Key Points

• The aim is to enhance soil microbial environmental quality through sustainable management practices supported by machine learning.
• Utilized machine learning algorithms to analyze soil microbial data
• Monitored soil quality indicators over time
• Assessed sustainability practices in soil management
• Identified key microbial indicators of soil health
• Showed significant improvement in soil quality with applied management strategies
• Demonstrated the effectiveness of machine learning in predicting soil health outcomes