This proposed system has used the K-means clustering technique for the segmentation purpose and the Back Propagation Neural Network (BPNN) technique for the classification of the mango leaf disease. This system has been tested with the different numbers of test data set collected from different regions. The system is tested for different numbers of clusters to get the optimal number of cluster ...

Leaf shape, including leaf size, leaf dissection index (LDI), and venation distribution, strongly impacts leaf physiology and the forces of momentum exerted on leaves or the canopy under windy conditions. Yet, little has been known about how leaf shape affects the morphological response of trees to wind load. We studied eight Quercus species, with different leaf shapes, to determine the morphol...

PREMISE OF THE STUDY Relationships of leaf size and shape (physiognomy) with climate have been well characterized for woody non-monocotyledonous angiosperms (dicots), allowing the development of models for estimating paleoclimate from fossil leaves. More recently, petiole width of seed plants has been shown to scale closely with leaf mass. By measuring petiole width and leaf area in fossils, le...

background and objectives: septoria leaf blotch disease (stb) caused by the fungus mycosphaerella graminicola (fuckel) j. schroeter (anamorph: septoria tritici roberge), is one of the most destructive foliar diseases of wheat in the world, that its worldwide damage in outburst years is about 30 to 50 per cent. the pathogen is a bipolar heterotallic ascomycete that its sexual life cycle is repea...

Leaf diseases’ influence the relationship between the yield and yield components of winter wheat (Triticum aestivum L.). Field experiments were conducted during 2003–2006 on a light loamy gleyic cambisoil in the central part of Lithuania to determine how leaf disease severity level affects grain yield and yield components. The area under disease progress curves (AUDPC), grain yield and yield co...