干旱区生态环境知识资源中心(Arid): Evaluation of the soil fertility for corn production (Zea Mays) using the multiple-criteria decision analysis (MCDA)

Arid

DOI	10.1007/s40808-020-00843-5
	Evaluation of the soil fertility for corn production (Zea Mays) using the multiple-criteria decision analysis (MCDA)
	Mokarram, Marzieh; Ghasemi, Mohammad Mehdi; Zarei, Abdol Rassoul
通讯作者	Zarei, AR
来源期刊	MODELING EARTH SYSTEMS AND ENVIRONMENT
ISSN	2363-6203
EISSN	2363-6211
出版年	2020
卷号	6 期号:4 页码:2251-2262
英文摘要	The ongoing water deficiencies in arid and semi-arid regions in conjunction with certain nutritional requirements highlight the importance of pinpointing the most optimal locations for cultivating agricultural products with the highest yield. Given the importance of this issue, this study proceeds to prepare soil fertility maps for corn production (Zea Mays L.) in Fars province, Iran. Initially, fuzzy membership functions (FMs) are employed to prepare fuzzy maps for each layer in the geographic information system (GIS), after which feature selection algorithms are deployed to designate the most relevant layers. The layers are then assigned specific weights obtained using a combination of analytic network process (ANP) and analytic hierarchy process (AHP) methods to prepare soil fertility maps. The input data consist of organic content (OC), phosphorus (P), potassium (K), iron (Fe), zinc (Zn), manganese (Mn), and copper (Cu). Inverse distance weighting (IDW) is utilized to procure interpolation maps for each layer. Thereafter, zoning maps are obtained using FMs. Ultimately, ANP and AHP models are once again deployed to generate the final overlayered fertility maps for corn production. The results show that combining the ANP method with feature selection (OC, K, Fe, and P) results in higher accuracy than solely applying the AHP method. Thus, incorporating feature selection and ANP methods with both inter and intra-group pair-wise comparison would result in more accurate fertility maps for corn production with lower costs and time complexity.
英文关键词	Corn production Geographic information system (GIS) Fuzzy map Analytic network process (ANP) Analytic hierarchy process (AHP) Feature selection algorithm
类型	Article
语种	英语
收录类别	ESCI
WOS记录号	WOS:000551439700003
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/334500
作者单位	[Mokarram, Marzieh] Shiraz Univ, Coll Agr & Nat Resources Darab, Dept Range & Watershed Management, Shiraz, Iran; [Ghasemi, Mohammad Mehdi] Fars Agr & Nat Resources Res & Educ Ctr, Shiraz, Iran; [Zarei, Abdol Rassoul] Fasa Univ, Fac Agr, Dept Range & Watershed Management Nat Engn, Fasa, Iran
推荐引用方式 GB/T 7714	Mokarram, Marzieh,Ghasemi, Mohammad Mehdi,Zarei, Abdol Rassoul. Evaluation of the soil fertility for corn production (Zea Mays) using the multiple-criteria decision analysis (MCDA)[J],2020,6(4):2251-2262.
APA	Mokarram, Marzieh,Ghasemi, Mohammad Mehdi,&Zarei, Abdol Rassoul.(2020).Evaluation of the soil fertility for corn production (Zea Mays) using the multiple-criteria decision analysis (MCDA).MODELING EARTH SYSTEMS AND ENVIRONMENT,6(4),2251-2262.
MLA	Mokarram, Marzieh,et al."Evaluation of the soil fertility for corn production (Zea Mays) using the multiple-criteria decision analysis (MCDA)".MODELING EARTH SYSTEMS AND ENVIRONMENT 6.4(2020):2251-2262.