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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/10584

Title: Optimizing Soil Fertility Management Decision in Mali by Remote Sensing and GIS
Authors: Dembele, Djeneba
Traore, Kalifa
Quansah, Charles
Osei Jnr, Edward Matthew
Bocar, Dit Sire B.A
Ballo, Mamadou
Keywords: Remote sensing
Geographic Information System
Issue Date: Nov-2016
Publisher: Donnish Journal of Agricultural Research
Citation: Donnish Journal of Agricultural Research,Vol 3(4) pp. 022-034 November, 2016. http://www.donnishjournals.org/djar
Abstract: Understanding soil variability is significant for agriculture soil planning and management. Soil test is also a widely accepted methodology in nutrient management. However, its applicability is curtailed in Mali due to the high cost of implementation. Thus, soil fertility maps could be used as a soil fertility management decision support tool. In the current study, Remote Sensing, Geographic Information System and laboratory analysis were used to identify soil fertility status. Stratified randomized sampling was performed using landsat image and visual interpretation. 52 points were sampled at 0-20 cm depth and analysed to determine soil clay, sandy and silt content as well as soil pH, C, N, P and K. The combined use of visual interpretation, kriging and thematic analysis function of ArcGIS allowed determining clay, sand and silt spatial distribution. Soil texture triangle was used to identify the textural classes. Ordinary Kriging method was used to analyse the spatial variability of soil pH, C, N, P and K. Soil clay content was low (1.22 - 12%), soil sandy was high (47 - 85%), soil pH was from extremely to moderate acidic (4.7 - 6.1). Carbon, Nitrogen, Phosphorus and Potassium were below the critical levels, ranging from negligible to 0.4%; negligible to 0.03%; 2.22 to 5.5 mg/kg and from 0.01 to 0.07 cmol respectively. The overall current soil status was poor.
Description: An article published by Donnish Journal of Agricultural Research,Vol 3(4) pp. 022-034 November, 2016. http://www.donnishjournals.org/djar
URI: http://hdl.handle.net/123456789/10584
Appears in Collections:College of Engineering

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