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Updated: Sep 14, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

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通过混合随机森林和贝叶斯最大模型估计空间分布并探索影响耕地质量的因素

Xufeng Fei1, Zhaohan Lou2, Meiling Sheng1

  • 1Zhejiang Academy of Agricultural Sciences, Hangzhou, China; Key Laboratory of Information Traceability of Agriculture Products, Ministry of Agriculture and Rural Affairs, China.

Environmental research
|July 19, 2025
PubMed
概括

结合随机森林 (RF) 和贝叶斯最大 (BME) 的新混合模型准确估计耕地质量 (CLQ). 这种方法通过识别关键影响因素和优化土地管理来改善粮食安全和可持续发展.

关键词:
贝叶斯最大 Entropy 是贝叶斯的最大.影响因素影响因素.机器学习 机器学习土壤质量土壤质量空间分析是一种空间分析.

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