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在州使用机器学习绘制地表土壤和耕地有机碳密度的地图

Hengliang Guo1, Jinyang Wang2, Dujuan Zhang1

  • 1National Supercomputing Center in Zhengzhou, Zhengzhou University, Zhengzhou, 450001, China.

Environmental geochemistry and health
|November 28, 2024
PubMed
概括

与传统方法相比,机器学习模型显著提高了土壤有机碳密度测绘的准确性. 随机森林和支持矢量机器模型展示了对土壤碳库存评估的卓越预测能力.

关键词:
绘制地图是为了绘制地图.随机森林 (RF) 是一个随机的森林.土壤有机碳密度 (SOCD)土壤有机碳库存 (SOCS)支持矢量机器 (SVM) 是一个支持矢量机器.

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