Estimation of soil organic matter in mollisols based on artificial intelligence
文献类型：期刊论文
| 作者 | Cui, Shihao3; Zhou, Meng4; Yu, He4; Xie, Xiongze2; Xiao, Leilei1; Liu, Jian7; Lin, Jinkuo5; Liu, Xiaobing4; Sui, Yueyu4; Liu, Jing6 |
| 刊名 | ECOLOGICAL INFORMATICS
 |
| 出版日期 | 2025-12-01 |
| 卷号 | 90页码:12 |
| 关键词 | Soil nutrients Soil fertility Machine learning Deep neural networks Non-destructive testing |
| ISSN号 | 1574-9541 |
| DOI | 10.1016/j.ecoinf.2025.103223 |
| 通讯作者 | Zhou, Meng(zhoumeng@iga.ac.cn) |
| 英文摘要 | Mollisols area valuable natural resource, and their organic matter content can be used to evaluate soil fertility. Estimating and monitoring the soil organic matter (SOM) content of Mollisols is of great importance. This study employed an artificial intelligence method, based on deep neural networks (DNNs), to predict SOM content. In this method, relevant measurement values of soil nutrients, such as phosphorus, nitrogen and potassium, and the soil pH were used as input features for the model. A dataset comprising 2490 samples was used for model training and testing. These samples were obtained through soil sampling and experimental measurements. This study validated the model by setting different ratios of training and testing datasets, and the results indicated that the proposed method can estimate the SOM content with an accuracy of nearly 95%. Furthermore, the method developed in this study was compared with six traditional machine learning methods and exhibited higher accuracy. This model will serve as the basis for designing realtime non-destructive testing of SOM. |
| WOS关键词 | CARBON |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001538801600001 |
| 资助机构 | Excellent Young Scientist Program of Natural Science Foundation of Heilongjiang Province in China ; Young Scientist Program of National Natural Science Foundation of China ; General Program of Natural Science Foundation of Jilin Province in China ; National Key R&D Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences |
| 源URL | [http://ir.yic.ac.cn/handle/133337/41292]  |
| 专题 | 烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室 |
| 通讯作者 | Zhou, Meng |
| 作者单位 | 1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China 2.Xiangyang Acad Agr Sci, Xiangyang 441057, Peoples R China 3.Univ Montreal, Inst Biomed Engn, Fac Med, Dept Pharmacol & Physiol, Montreal, PQ, Canada 4.Chinese Acad Sci, Northeast Inst Geog & Agroecol, Engn & Technol Res Ctr Soil & Water Conservat, Harbin 150081, Peoples R China 5.Shandong Normal Univ, Coll Geog & Environm, Jinan 250300, Peoples R China 6.Univ Manitoba, Dept Biosyst Engn, Winnipeg, MB R3T 2N2, Canada 7.Dezhou Univ, Inst Biophys, Shandong Key Lab Biophys, Dezhou 253023, Peoples R China |
| 推荐引用方式 GB/T 7714 | Cui, Shihao,Zhou, Meng,Yu, He,et al. Estimation of soil organic matter in mollisols based on artificial intelligence[J]. ECOLOGICAL INFORMATICS,2025,90:12. |
| APA | Cui, Shihao.,Zhou, Meng.,Yu, He.,Xie, Xiongze.,Xiao, Leilei.,...&Liu, Jing.(2025).Estimation of soil organic matter in mollisols based on artificial intelligence.ECOLOGICAL INFORMATICS,90,12. |
| MLA | Cui, Shihao,et al."Estimation of soil organic matter in mollisols based on artificial intelligence".ECOLOGICAL INFORMATICS 90(2025):12. |
入库方式： OAI收割
来源：烟台海岸带研究所
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