干旱区生态环境知识资源中心(Arid): Delineation of Soil Management Zone Maps at the Regional Scale Using Machine Learning

Arid

DOI	10.3390/agronomy13020445
	Delineation of Soil Management Zone Maps at the Regional Scale Using Machine Learning
	Maleki, Sedigheh; Karimi, Alireza; Mousavi, Amin; Kerry, Ruth; Taghizadeh-Mehrjardi, Ruhollah
通讯作者	Maleki, S
来源期刊	AGRONOMY-BASEL
EISSN	2073-4395
出版年	2023
卷号	13 期号:2
英文摘要	Applying fertilizers to soil in a site-specific way that maximizes yields and minimizes environmental damage is an important goal. Developing soil management zones (MZs) is a suitable method for achieving sustainable agricultural production. Thus, this work aims to investigate MZs delineated based on the different soil properties using machine learning methods. To achieve these, 202 soil samples were collected at the agricultural land of pomegranate, pistachio, and saffron. A random forest model was applied to map soil properties based on environmental covariates. The predicted Lin's concordance correlation coefficient values in validation soil properties varied from 0.65 to 0.79. The maps indicated low amounts of soil organic carbon, available potassium, available phosphate, and total nitrogen in most of the region. Furthermore, the study identified four different MZs according to relationships between soil properties and environmental covariates. Generally, the ranking of zones in terms of soil fertility was MZ4 > MZ1 > MZ3 > MZ2 based on the investigated soil properties and the soil quality (SQ) map. The five grades of SQ (i.e., very high, high, moderate, low, and very low) indicated that there was heterogeneous SQ in each MZ in the study area. There were 1.65 ha identified in MZ4 with very low SQ. This result is important in determining the amount of fertilizer to add to the soil in the different areas. It confirms the need for more specific regional management of agriculture lands in this region.
英文关键词	arid region digital soil mapping specific regional management soil fertility
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000938157300001
WOS关键词	SITE-SPECIFIC MANAGEMENT ; PRECISION AGRICULTURE ; SPATIAL VARIABILITY ; ELECTRICAL-CONDUCTIVITY ; CULTIVATED AREA ; ORGANIC-CARBON ; QUALITY INDEX ; SALINITY ; YIELD ; FIELD
WOS类目	Agronomy ; Plant Sciences
WOS研究方向	Agriculture ; Plant Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395193
推荐引用方式 GB/T 7714	Maleki, Sedigheh,Karimi, Alireza,Mousavi, Amin,et al. Delineation of Soil Management Zone Maps at the Regional Scale Using Machine Learning[J],2023,13(2).
APA	Maleki, Sedigheh,Karimi, Alireza,Mousavi, Amin,Kerry, Ruth,&Taghizadeh-Mehrjardi, Ruhollah.(2023).Delineation of Soil Management Zone Maps at the Regional Scale Using Machine Learning.AGRONOMY-BASEL,13(2).
MLA	Maleki, Sedigheh,et al."Delineation of Soil Management Zone Maps at the Regional Scale Using Machine Learning".AGRONOMY-BASEL 13.2(2023).