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Volume & Issue no: Volume 6, Issue 1, January - February 2017

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Title:
Review on Analysis and Classification techniques of soil study in Remote Sensing and Geographic Information System
Author Name:
Pratibha R.Bhise, Sonali B.Kulkarni
Abstract:
Abstract As we seen past few decennary, the various changes in land use has substantiated by earth’s surface. Global environmental changes are currently modifying key ecosystem services that soils provide. Because of these conditions monitoring tools are needed for preserving a sustainable ecological status and developing soil conservation at local, regional and global level. In this research Remote Sensing has presented a tremendous conceivable role in soil characteristics retrieving. Various methodologies have been arranged for the evaluation of soil parameters, based on distinct remote sensing sensors and classification techniques. Remote Sensing is emerging research field in agriculture for soil analysis. Indian economy is based on agriculture, agriculture is a source of income for most of the population in India. Now a day’s Agriculture production are decreases because of cheap yield prediction. Many factors are affects yield prediction like soil, rain, fertilizers. Soil quality is important to increase agriculture productivity .The Hyper spectral tools helps to improve soil quality and also to resolve the soil characteristics like carbon, nitrogen, phosphorus, Potassium, pH, CEC, Silt, Clay, Sand over the wavelength 350-2500nm. In this paper a review is done for various soil analysis & classification techniques. Keywords: Agriculture, Spectroradiometer, VIS/NIR, MIR, PLSR, PCA, RMSE.
Cite this article:
Pratibha R.Bhise, Sonali B.Kulkarni , " Review on Analysis and Classification techniques of soil study in Remote Sensing and Geographic Information System" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 6, Issue 1, January - February 2017 , pp. 124-138 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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