Machine learning: An effective technical method for future use in assessing the effectiveness of phosphorus-dissolving microbial agroremediation

• Published in: Frontiers in bioengineering and biotechnology Vol. 11; p. 1189166
• Main Authors: Wu, Juai, Zhao, Fangzhou
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 31.03.2023
• Subjects: agricultural pollution; assessment and prediction; Bioengineering and Biotechnology; crop yield; machine learning; microbial remediation; microbial remediation; agricultural pollution; machine learning; assessment and prediction; crop yield

The issue of agricultural pollution has become one of the most important environmental concerns worldwide because of its relevance to human survival and health. Microbial remediation is an effective method for treating heavy metal pollution in agriculture, but the evaluation of its effectiveness has...