This report presents a dynamic procedure for the formation of category trees from a collection of skeletal shape trees. It overcomes several shortcomings of the formation procedure proposed by Baseski [4]. Unlike the method in [4], the structure of a category tree is not fixed at the beginning and can be updated in a dynamic way as a new example is considered. By this way, the true nature of ca...

Among the diseases affecting the commercial citrus production, the citrus black spot (CBS) is considered to cause substantial losses. The analyses of particles in suspension in the orchards and collected into a disc have been applied as a preventive action trying to identify the presence of fungus spores before symptom appearance. In this paper, we show the results of several shape analysis met...

In this paper, an efficient computer-aided plant species identification (CAPSI) approach is proposed, which is based on plant leaf images using a shape matching technique. Firstly, a Douglas Á Peucker approximation algorithm is adopted to the original leaf shapes and a new shape representation is used to form the sequence of invariant attributes. Then a modified dynamic programming (MDP) algori...

Plant classification becomes very much demanding research area for the use of taxonomist and botanist as well as in agricultural requirement. Using computerized techniques for performing these task is more effective. This research paper presents the classification of plants by using Feed forward Back Propagation Neural Network designed.This method performed in three steps first is leaf image pr...

The relationship between spatial density and size of plants is an important topic in plant ecology. The self-thinning rule suggests a -3/2 power between average biomass and density or a -1/2 power between stand yield and density. However, the self-thinning rule based on total leaf area per plant and density of plants has been neglected presumably because of the lack of a method that can accurat...