this research was conducted to zoning of gorgan agricultural lands for hulless barley cropping using evaluation of some environmental factors base on boolean logic and by geographic information system. for this purpose, agro-ecological requirements of hulless barley firstly, identified according to scientific resources. rating and thematic requirement maps were then provided. studied environmen...

The aim of this study was to investigate the impact of multileaf collimator width (MLC-W) on intraprostatic dose painting plans for prostate cancer.Prostate cancer maps based on the histopathological findings were superimposed onto simulation CT images. Clinical target volume (CTV) 1 was defined as the prostate and the base of the seminal vesicles, and CTV2 was defined as the dominant intrapros...

background: in radiation therapy, the sparing of normal tissues can be performed using either multi-leaf collimators or cerrobend blocks. the current work focuses on the physical characteristics of cerrobend blocks including attenuation coefficient, effective penumbra width and isodose curves undulation in penumbral regions. materials and methods: all measurements were performed using a dual en...

In the present paper we propose and evaluate a framework for detection and classification of plant leaf/stem diseases using image processing and neural network technique. The images of plant leaves affected by four types of diseases namely early blight, late blight, powdery-mildew and septoria has been considered for study and evaluation of feasibility of the proposed method. The color transfor...

trifolium spp. are native plants in iran exhibiting good ground cover po-tential. salinity is a major environmental stress and today, 20% of the world cultivated areas and nearly half of all irrigated lands are affected by salinity. the main aim of this research was to study morphological and physiological adaptations of these native species under different salinity levels for urban landscape u...

This paper presents the study on identification and classification of food grains using different color models such as L*a*b, HSV, HSI and YCbCr by combining color and texture features without performing preprocessing. The K-NN and minimum distance classifier are used to identify and classify the different types of food grains using local and global features. Texture and color features are the ...