Selecting suitable sites for livestock manure composting via the integration of machine learning, median center and geographic information system
文献类型：期刊论文
| 作者 | Yan, Jingjie5; Yan, Bojie4; Shi, Wenjiao2,3; Feng, Yulin1 |
| 刊名 | AGRICULTURAL SYSTEMS
 |
| 出版日期 | 2025-05-01 |
| 卷号 | 226页码:104300 |
| 关键词 | Livestock manure Spatial clusters Machine learning Suitable sites |
| ISSN号 | 0308-521X |
| DOI | 10.1016/j.agsy.2025.104300 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | CONTEXT: Composting livestock manure in suitable areas near farmlands is important for the application of livestock manure to farmlands and the realization of resource utilization of livestock manure and crop-livestock integration. However, few studies have focused on selecting suitable sites for livestock manure composting. OBJECTIVE: To process and evaluate the spatial clustering of farmland via six machine learning methods, analyze the priority and limiting factors of suitable site selection for livestock manure composting, and determine suitable sites for livestock manure composting and the annual amount of livestock manure composting in three scenarios. METHODS: This research investigated the spatial clustering of farmlands by using six machine learning methods. Then, a priority and limitation analysis of suitable sites for livestock manure composting was conducted, and suitable sites for livestock manure composting and the annual amount of livestock manure composting in three scenarios were documented. RESULTS AND CONCLUSIONS: Results indicated that the algorithm called balanced iterative reducing and clustering using hierarchies could effectively identify uneven spatial clusters of farmlands in hilly areas. A total of 114 suitable sites for livestock manure composting were identified based on the priority and limitation analysis. Then, the spatial association relation between suitable sites for livestock manure composting and farmlands were established. Finally, the annual amount of livestock manure composting at 114 suitable sites for livestock manure composting was estimated as pig manure equivalent in the three scenarios. SIGNIFICANCE: These findings have significant implications for promoting the resource utilization of livestock manure and crop-livestock integration. The results also help to improve the utilization rate of livestock manure, reduce the economic cost of applying livestock manure to farmland, and alleviate the environmental pollution risk of livestock manure. In addition, the results have good application for the utilization of livestock manure and the layout planning of livestock and poultry breeding. |
| URL标识 | 查看原文 |
| WOS研究方向 | Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:001447911400001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/213255]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Yan, Bojie |
| 作者单位 | 1.Fuzhou Univ, Acad Digital China Fujian, Fuzhou 350003, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China; 4.Minjiang Univ, Coll Geog & Oceanog, Fuzhou 350108, Peoples R China; 5.Nanjing Univ Posts & Telecommun, Coll Telecommun & Informat Engn, Nanjing 210003, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Yan, Jingjie,Yan, Bojie,Shi, Wenjiao,et al. Selecting suitable sites for livestock manure composting via the integration of machine learning, median center and geographic information system[J]. AGRICULTURAL SYSTEMS,2025,226:104300. |
| APA | Yan, Jingjie,Yan, Bojie,Shi, Wenjiao,&Feng, Yulin.(2025).Selecting suitable sites for livestock manure composting via the integration of machine learning, median center and geographic information system.AGRICULTURAL SYSTEMS,226,104300. |
| MLA | Yan, Jingjie,et al."Selecting suitable sites for livestock manure composting via the integration of machine learning, median center and geographic information system".AGRICULTURAL SYSTEMS 226(2025):104300. |
入库方式： OAI收割
来源：地理科学与资源研究所
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