The industry trend to golf putting greens which produce greater ball-roll distances has led to development of high density creeping bentgrass (Agrostis palustris, Huds.) cultivars that tolerate very low mowing heights. These cultivars also have a finer leaf texture and improved competitiveness with the invasive weed, annual bluegrass (Poa annua L.). In this multi-year field study, newer cultiva...

dwarf chicory (cichorium pumilum jacq.) is one of the annual species from chicory genus grows in western and southern parts of iran. to date no study on this species has been carried out under the field conditions. in order to determine the suitable planting date of dwarf chicory, an experiment was conducted in a split plot layout based on randomized complete block design with three replication...

We carried out 2 functional magnetic resonance imaging experiments to investigate the cortical mechanisms underlying the contribution of form and surface properties to object recognition. In experiment 1, participants performed same-different judgments in separate blocks of trials on pairs of unfamiliar "nonsense" objects on the basis of their form, surface properties (i.e., both color and text...

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...

In this paper we propose an automatic algorithm able to classify legume leaf images considering only the leaf venation patterns (leaf shape, color and texture are excluded). This method processes leaf images captured with a standard scanner and segments the veins using the Unconstrained Hit-or-Miss Transform (UHMT) and adaptive thresholding. We measure several morphological features on the vein...

This paper presents a survey on a system that uses digital image processing techniques to identify anthracnose and powdery mildew diseases of sandalwood from digital images. Our main objective is researching the most suitable identification technology for the anthracnose and powdery mildew diseases of the sandalwood leaf, which provides algorithmic support for the real-time machine judgment of ...