User:Timatse.ubutra

= Soil testing using image processing (Z Soil analysis) = Z soil analysis is a type on image processing on soil to determine its characteristics (type, nutrients, moisture etc).

The process was developed by Zaid Syed (also known as Sayad Inamdar), an engineering student from Belgaum district.

The primary aim of this work was to predict soil moisture content and soil organic matter using soil image texture statistics. Co-occurrence method texture statistics were used to characterize soil to extend the possibility of using RGB color space in representing composite soil color. Four co-occurrence method textural features; angular second moment (ASM), contrast (CON), correlation (COR) and inverse difference moment (IDM) calculated from generalized matrix for image texture representation were used to describe soil moisture content variation under laboratory conditions.

The improvements achieved by Zaid Syed with minimal prediction errors were better than SMLR in different years. It was assumed that several years of data sets with a much larger number of observations could be used to differentiate fundamental soil properties.

Software
The software was developed by Zaid Syed on MATLAB and can be executed on any windows platform.

''The software has revolutionized the method to find moisture content in soil. Approach is to turn the manual process to a software application using image processing. Image of the soil with different moisture content are captured and preprocessed to remove the noise of source image. The color and texture characters of moist soil are extracted. Color characteristics analyzed using the RGB and the HSV model. Texture features are analyzed using entropy, energy, contrast, homogeneity. A relationship between extracted features and moisture content is developed.''