[PDF] Top 20 Plant Classification with Pollen Characters using Neural Network
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Plant Classification with Pollen Characters using Neural Network
... Any researcher, who uses Palynology as a primary research tool may have to spend up to 30 months of microscopic work for identifying and classifying the pollens. Thus, automation of Palynology could lead to many ... See full document
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Plant classification based on leaf Shape features using Neural Network
... 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 ... See full document
5
A New Approach to Pollen Classification using Computational Intelligence
... for classification of plant species. Traditionally, pollen morphological characters are used for plant classification and identification of plants ...used neural ... See full document
11
Comparison of Neural Network Parameters for Classification of Arabic Handwritten Isolated Characters
... In [6], the authors describe an algorithm for segmenting cursive words into graphemes. This algorithm defines specific characteristic points identified in the skeleton of the word and operates in two steps. In the first, ... See full document
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Recognition and Classification of Broken Characters using Feed Forward Neural Network to Enhance an OCR Solution
... The quality of old historic document is not so good; sharpness of the characters is often blurred and the color is faded .This type of documents cannot be directly segmented for recognition purpose [10][11]. Thus ... See full document
5
Plant Species Classification and Disease Detection using Convolutional Neural Network
... There are five main steps used for the detection of plant leaf diseases as shown in fig. The processing scheme consists of image acquisition through digital camera or web, image pre-processing includes image ... See full document
7
NEURAL NETWORK BASED APPROACH FOR RECOGNITION FOR DEVANAGIRI CHARACTERS
... identification, classification, speech, vision and control systems. Today neural networks can be trained to solve problems that are difficult for conventional computers or human ... See full document
11
Disease Detection in the Leaves of Multiple Plants
... in plant disease ...Convolutional Neural Network (CNN) technique is used for the detection and classification of different types of diseases effected to the plant ...CNN network ... See full document
5
Title: A Study of Image Processing in Agriculture for Detect the Plant Diseases
... crop, plant, leaves, flower, fruits ...Images classification approaches, Artificial Neural Network, Support Vector Machine, Clustering method” ... See full document
7
Enhancement of parallel thinning algorithm for handwritten characters using neural network
... pattern classification. Generally, there are two kinds of handwritten characters, connected and ...handwritten characters is the pre-processing, which involves operations on the digitized image ... See full document
26
Development of Jordan Elman Neural Network for Classification of Pollen Grains Using Histogram based Features
... used neural network for pollen identification and ...identified pollen grain microstructure using neural ...based classification, using an HMM ...improved ... See full document
9
CLASSIFICATION OF DISEASED PLANT LEAVES USING NEURAL NETWORK ALGORITHMS
... the neural network algorithm is proposed for diseased plant leaf ...The neural network techniques such as feed forward neural network (FFNN), learning vector quantization ... See full document
7
Fabric Defect Classification using Modular Neural Network
... In the manufacturing process, if the cost and just-in-time delivery represent the two lines of the right angle, the quality should be the hypotenuse that completes the right triangle of the process. It means that the ... See full document
6
An Android Application for Plant Leaf Disease Detection using Convolution Neural Network
... of plant diseases with the help of image ...the plant on a daily basis is nearly impossible for a task to ...the plant are taken and then these features are taken out in a separate image in order to ... See full document
5
Application research of convolution neural network in image classification of icing monitoring in power grid
... points to achieve real-time monitoring of icing, the monitoring center personnel or expert judgment and warning system, the guidance of the relevant depart- ments of power system on line deicing measure is adopted in ... See full document
11
Fingerprint Classification using Artificial Neural Network
... Fingerprint classification is the process of dividing a large amount of fingerprint database within which the input fingerprint is first determined and then a classification is carried out to observe the ... See full document
5
Speech Enhancement Using Neural Network
... simple network architecture with minimum ...constructed using the well- known Multilayer Perceptron (MLP) network and trained using the backpropagation algorithm ...(BPA). Neural ... See full document
5
Classification of Ovarian Cysts Using Artificial Neural Network
... Devesh D. Nawgaje [1] proposed Genetic Algorithm for Ovarian Cancer segmentation. Imaging plays an important role in the diagnosis and treatment of ovarian cancer. An accurate segmentation is critical, especially when ... See full document
6
Texture Segmention : Comparasion between Clustering and Classification
... Gabor filtering gives the rotation invariant features. It is variant to texture at different scale. Gabor wavelet features are used for texture segmentation at different scale and orientation of textures. Clustering is ... See full document
5
Classification of Pedestrian using Convoluted Neural Network
... convoluted neural network (CNN) is used as a feature ...the classification problems compared to the other ...in classification of moving objects and successfully applied in computer vision and ... See full document
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