Identify and Classify Normal and Defects of Prunus_armeniaca Using Imaging Techniques

Abstract

Abstract:The Prunus_armeniaca fruit is classified manually in wholesale markets, supermarkets and food processing plants on a normal or defects basis. The aim of this research is to replace the manual sorting techniques using computer vision techniques and applications by proposing techniques for identify and recognitions patterns through the use of 150 fruits of Prunus_armeniaca, 10 for the testing stage in fresh and 10 for testing stage in case of defects. The fruits Prunus_armeniaca collected from growing trees in the large fields of Salah al-Din province\Iraq. The system designed for classification based on the color image taken inside a black box used camera pixel resolution of (13 mega) with a constant intensity of light. . Used K-mean in phase segmentations and only computed 13 features derive statistics from GLCM .classification phase used SVM classify fruit into two class, either (normal or defects) .Results the system success rate reach 100%.The work done using MATLAB R2016a.

Climate-responsive design strategy for Erbil city

“…The summer season (June–September) is typically hot and dry and the winter season (November–February) is cold and wet. Between October and November, there is a limited rainfall (Erbil Governorate Profile, 2015; Diler and Serbest, 2017). In the hot summer time, the maximum daily temperature can reach 50°C, whereas in the cold winter time, the minimum temperature can decrease to −5°C (Rozhgar, 2018, p. 22; Shwany, 2018, p. 26).…”

“…The houses were usually two storied with flat roofs, and most of the courtyard houses were formed in irregular geometric shapes (Shwany, 2018, p. 30). Traditional buildings were designed and constructed with respect to climate conditions (Diler and Serbest, 2017). The fact that the Citadel still exists and the houses have shown a good performance to the test of the time, climate-responsive design approach and construction techniques used have proved themselves to be successful.…”