KMS Nanjing Institute of Geography and Limnology,CAS
Predicting soil depth in a large and complex area using machine learning and environmental correlations | |
Liu, Feng; Yang, Fei; Zhao, Yu-guo; Zhang, Gan-lin; Li, De-cheng | |
2022 | |
发表期刊 | JOURNAL OF INTEGRATIVE AGRICULTURE |
卷号 | 21期号:8页码:2422-2434 |
文献类型 | 期刊论文 |
条目标识符 | http://159.226.73.51/handle/332005/21437 |
专题 | 中国科学院南京地理与湖泊研究所 |
推荐引用方式 GB/T 7714 | Liu, Feng,Yang, Fei,Zhao, Yu-guo,et al. Predicting soil depth in a large and complex area using machine learning and environmental correlations[J]. JOURNAL OF INTEGRATIVE AGRICULTURE,2022,21(8):2422-2434. |
APA | Liu, Feng,Yang, Fei,Zhao, Yu-guo,Zhang, Gan-lin,&Li, De-cheng.(2022).Predicting soil depth in a large and complex area using machine learning and environmental correlations.JOURNAL OF INTEGRATIVE AGRICULTURE,21(8),2422-2434. |
MLA | Liu, Feng,et al."Predicting soil depth in a large and complex area using machine learning and environmental correlations".JOURNAL OF INTEGRATIVE AGRICULTURE 21.8(2022):2422-2434. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Predicting soil dept(2449KB) | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论