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author:

Yan, Jingjie (Yan, Jingjie.) [1] | Yan, Bojie (Yan, Bojie.) [2] | Shi, Wenjiao (Shi, Wenjiao.) [3] | Feng, Yulin (Feng, Yulin.) [4]

Indexed by:

Scopus SCIE

Abstract:

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.

Keyword:

Livestock manure Machine learning Spatial clusters Suitable sites

Community:

  • [ 1 ] [Yan, Jingjie]Nanjing Univ Posts & Telecommun, Coll Telecommun & Informat Engn, Nanjing 210003, Peoples R China
  • [ 2 ] [Yan, Bojie]Minjiang Univ, Coll Geog & Oceanog, Fuzhou 350108, Peoples R China
  • [ 3 ] [Shi, Wenjiao]Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
  • [ 4 ] [Shi, Wenjiao]Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
  • [ 5 ] [Feng, Yulin]Fuzhou Univ, Acad Digital China Fujian, Fuzhou 350003, Peoples R China

Reprint 's Address:

  • [Yan, Bojie]Minjiang Univ, Coll Geog & Oceanog, Fuzhou 350108, Peoples R China

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Source :

AGRICULTURAL SYSTEMS

ISSN: 0308-521X

Year: 2025

Volume: 226

6 . 1 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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