This research aimed at focusing on the importance of the preparation and execution of agricultural projects in Iraq. This research also focusing on the requirement for investment in various and integrated agricultural projects based on appropriate technical and economical basis.

                The research demonstrated the following: specifying and preparation of the project, determining feasibility and principles, aspect outlines economical analysis, implementation stages and economical rate of return.

            The research arrived at conclusions that the project ideas are determined by de

Slurring Phenomenon And Throat Voices

Turkey came back to the Middle East hardly after long disappearance
throughout its moderate regional policy, which put its in the middle of the
events it reverse its place throughout the regional references in the region,
the way of coming back was too difficult and hard, the internal Turkish
troubles and inhibitors coming together with the maintenance bonds that
forms great complex barrier.
But the great Turkish foreign policy represented by the foreign minister
Ahmed David Oghlu, can successfully pass these problems and as a result it
withdraw turkey both geographical and political to its neighbor after long
period of disappear, it new regional policies cancel the old impressions that
was still in the mind

FG Mohammed, HM Al-Dabbas, Science International, 2018 - Cited by 2

A band rationing method is applied to calculate the salinity index (SI) and Normalized Multi-Band Drought Index (NMDI) as pre-processing to take Agriculture decision in these areas is presented. To separate the land from other features that exist in the scene, the classical classification method (Maximum likelihood classification) is used by classified the study area to multi classes (Healthy vegetation (HV), Grasslands (GL), Water (W), Urban (U), Bare Soil (BS)). A Landsat 8 satellite image of an area in the south of Iraq are used, where the land cover is classified according to indicator ranges for each (SI) and (NMDI).

Gray-Scale Image Brightness/Contrast Enhancement with Multi-Model
Histogram linear Contrast Stretching (MMHLCS) method

A system was used to detect injuries in plant leaves by combining machine learning and the principles of image processing. A small agricultural robot was implemented for fine spraying by identifying infected leaves using image processing technology with four different forward speeds (35, 46, 63 and 80 cm/s). The results revealed that increasing the speed of the agricultural robot led to a decrease in the mount of supplements spraying and a detection percentage of infected plants. They also revealed a decrease in the percentage of supplements spraying by 46.89, 52.94, 63.07 and 76% with different forward speeds compared to the traditional method.

The multi-focus image fusion method can fuse more than one focused image to generate a single image with more accurate description. The purpose of image fusion is to generate one image by combining information from many source images of the same scene. In this paper, a multi-focus image fusion method is proposed with a hybrid pixel level obtained in the spatial and transform domains. The proposed method is implemented on multi-focus source images in YCbCr color space. As the first step two-level stationary wavelet transform was applied on the Y channel of two source images. The fused Y channel is implemented by using many fusion rule techniques. The Cb and Cr channels of the source images are fused using principal component analysis (PCA).