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Geostatistical and fuzzy clustering approach for delineation of site-specific management zones and yield-limiting factors in irrigated hot arid environment of India

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Title Geostatistical and fuzzy clustering approach for delineation of site-specific management zones and yield-limiting factors in irrigated hot arid environment of India
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Creator Moharana, P.C., Jena, R.K., Pradhan, U.K., Nogiya, M., Tailor, B.L., Singh, R.S. and Singh, S.K.
 
Subject Management zone · Spatial variability · Geographical weighted principal component analysis · Possibilistic fuzzy c-means · Arid ecosystem
 
Description Not Available
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.
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Date 2020-05-22T07:20:23Z
2020-05-22T07:20:23Z
2019-06-18
 
Type Research Paper
 
Identifier Moharana, P.C., Jena, R.K., Pradhan, U.K., Nogiya, M., Tailor, B.L., Singh, R.S. and Singh, S.K. 2019. 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: 426-448.
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http://krishi.icar.gov.in/jspui/handle/123456789/36126
 
Language English
 
Relation Not Available;
 
Publisher Springer