In this research, identification and classification of cotton diseases is done. The pattern of disease is important part where some features like the colour of actual infected image are extracted from image. There are so many diseases occurred on cotton leaf so the leaf color is different for different diseases. This paper uses k-mean clustering with Discrete Wavelet Transform for efficient pla...

In this paper we present survey on the various types of leaf diseases in plants and their identification process. An identification problem deals with associating a given input pattern with one of the distinct classes. Plant leaf disease identification is a technique where leaf spot disease is identified based on its different morphological features. There are various successful identification ...

The leaf is the major organ involved in light perception and conversion of solar energy into organic carbon. In order to adapt to different natural habitats, plants have developed a variety of leaf forms, ranging from simple to compound, with various forms of dissection. Due to the enormous cellular complexity of leaves, understanding the mechanisms regulating development of these organs is dif...

UNLABELLED PREMISE OF THE STUDY Because plant identification demands extensive knowledge and complex terminologies, even professional botanists require significant time in the field for mastery of the subject. As plant leaves are normally regarded as possessing useful characteristics for species identification, leaf recognition through images can be considered an important research issue for...

In this paper we present survey on various classification techniques which can be used for plant leaf classification. A classification problem deals with associating a given input pattern with one of the distinct classes. Plant leaf classification is a technique where leaf is classified based on its different morphological features. There are various successful classification techniques like kN...

Plant has plenty use in foodstuff, medicine and industry, and is also vitally important for environmental protection. So, it is important and urgent to recognize and classify plant species. Plant classification based on leaf images is a basic research of botanical area and agricultural production. Due to the high nature complexity and high dimensionality of leaf image data, dimensional reductio...

Leaves, or organs derived from leaves, are the most morphologically diverse structures in a plant (Gifford and Foster, 1989). They occur as prominent photosynthetic structures; as inconspicuous fragments of tissue in tubers, rhizomes, and the stems of many cacti; as nonphotosynthetic storage organs in bulbs; and, in carnivorous plants, as complex structures specialized for catching and digestin...

A novel approach to visual leaf identification is proposed. A leaf is represented by a pair of local feature histograms, one computed from the leaf interior, the other from the border. The histogrammed local features are an improved version of a recently proposed rotation and scale invariant descriptor based on local binary patterns (LBPs). Describing the leaf with multi-scale histograms of rot...

We characterize the leaf spectra of tree species of an Andean cloud forest in Venezuela, grouped according to position in canopy, subcanopy and understory. We measured leaf reflectance and transmittance spectra in the 400-750 nm range using a high-resolution spectrometer. Both signals were subtracted from unity to calculate the absorbance signal. Nine spectral variables were calculated for each...

Leaves, or organs derived from leaves, are the most morphologically diverse structures in a plant (Gifford and Foster, 1989). They occur as prominent photosynthetic structures; as inconspicuous fragments of tissue in tubers, rhizomes, and the stems of many cacti; as nonphotosynthetic storage organs in bulbs; and, in carnivorous plants, as complex structures specialized for catching and digestin...