干旱区生态环境知识资源中心(Arid): Geostatistical and fuzzy clustering approach for delineation of site-specific management zones and yield-limiting factors in irrigated hot arid environment of India

Arid

DOI	10.1007/s11119-019-09671-9
	Geostatistical and fuzzy clustering approach for delineation of site-specific management zones and yield-limiting factors in irrigated hot arid environment of India
	Moharana, P. C.1; Jena, R. K.2; Pradhan, U. K.3; Nogiya, M.1; Tailor, B. L.1; Singh, R. S.1; Singh, S. K.4
通讯作者	Moharana, P. C.
来源期刊	PRECISION AGRICULTURE
ISSN	1385-2256
EISSN	1573-1618
出版年	2020
卷号	21 期号:2 页码:426-448
英文摘要	Delineation of management zones (MZs) are needed to manage fields in order to maximize economic return, minimize environmental impact, and improve soil and crop management. The MZs of uniform production potential may offer an effective solution to nutrient management. In this study, a total of 122 geo-referenced representative surface (0-250 mm depth) soil samples were collected from the study area covering an area of 6296 ha. Soil samples were analysed for pH, EC, CaCO3, organic carbon (SOC), available nitrogen (AN), available phosphorus (AP), available potassium (AK) and micronutrients (Fe, Mn, Zn and Cu). Their spatial variability was analyzed and spatial distribution maps were constructed using geostatistical techniques. Geostatistical analysis showed that exponential, rational quadratic, tetraspherical, pentaspherical and circular models were the best-fit models for soil properties and available nutrients. Further, geographical weighted principal component analysis (GWPCA) and possibilistic fuzzy C-means (PFCM) clustering algorithm were carried out to delineate the management zones based on optimum clusters identified using fuzzy performance index (FPI) and normalized classification entropy (NCE). The results revealed that the optimum number of MZs for this study area was four and there was heterogeneity in soil nutrients in four MZs. The study indicated that MZ-based soil test crop response recommendation reduces the application quantity of fertilizer significantly at a large extent. Therefore, the management zone concept can reduce agricultural inputs and environmental pollution, and maximize crop production.
英文关键词	Management zone Spatial variability Geographical weighted principal component analysis Possibilistic fuzzy c-means Arid ecosystem
类型	Article
语种	英语
国家	India
收录类别	SCI-E
WOS记录号	WOS:000519662600011
WOS关键词	CHARACTERIZING SPATIAL VARIABILITY ; SOIL ORGANIC-CARBON ; CULTIVATED AREA ; PHOSPHORUS ; REGION
WOS类目	Agriculture, Multidisciplinary
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315364
作者单位	1.ICAR Natl Bur Soil Survey & Land Use Planning, Reg Ctr, Udaipur 313001, Rajasthan, India; 2.ICAR Natl Bur Soil Survey & Land Use Planning, Reg Ctr, Jorhat 785004, Assam, India; 3.ICAR Indian Agr Stat Res Inst, New Delhi 110012, India; 4.ICAR Natl Bur Soil Survey & Land Use Planning, Nagpur 440033, Maharashtra, India
推荐引用方式 GB/T 7714	Moharana, P. C.,Jena, R. K.,Pradhan, U. K.,et al. Geostatistical and fuzzy clustering approach for delineation of site-specific management zones and yield-limiting factors in irrigated hot arid environment of India[J],2020,21(2):426-448.
APA	Moharana, P. C..,Jena, R. K..,Pradhan, U. K..,Nogiya, M..,Tailor, B. L..,...&Singh, S. K..(2020).Geostatistical and fuzzy clustering approach for delineation of site-specific management zones and yield-limiting factors in irrigated hot arid environment of India.PRECISION AGRICULTURE,21(2),426-448.
MLA	Moharana, P. C.,et al."Geostatistical and fuzzy clustering approach for delineation of site-specific management zones and yield-limiting factors in irrigated hot arid environment of India".PRECISION AGRICULTURE 21.2(2020):426-448.