Plant Seed Image Recognition System (PSIRS)

: In this paper the proposed system uses content based image retrieval (CBIR) technique for identification of seed e.g. wheat, rice, gram etc. on the basis of their features. CBIR is a technique to identify or recognize the image on the basis of features present in image. Basically features are classified in to four categories 1.color 2.Shape 3. texture 4. size .In this system we are extracting color, shape feature extraction. After that classifying images in to categories using neural network according to the weights and image displayed from the category for which neural network shows maximum weight. category1 belongs to wheat and category2 belongs to gram. Experiment was conducted on 200 images of wheat and gram by using Euclidean distance(ED) and artificial neural network techniques. From 200 images 150 are used for training purpose and 50 images are used for testing purpose. The precision rate of the system by using ED is 84.4 percent By using Artificial neural network precision rate is 95 percent.

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“…The system's recognition rate was 95.1 % for trained dataset and 64.0 percent for unknown in untrained dataset [4].…”

Section: Euclidean Distance Methodsmentioning

confidence: 94%

Automatic Seed Classification by Shape and Color Features using Machine Vision Technology

Pandey¹,

Krishna²,

Sharma³

2013

IJCATR

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“…The precision rates of the system were 95.1 percent for correct matching in the training data set and 64.0 percent for unknown in the untrained data set. The average access time was 8.79 secondsper image [2].…”

Section: Introductionmentioning

confidence: 99%

Advance Technological Approach for Maize Seed Variety Identification Using Image Processing

Hakkalli¹,

Varun²,

Naik³

2019

IJSRCSEIT

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In imaging science, image processing is processing of images using mathematical operations by using any form of signal processing for which the input is an image, a series of images, or a video, such as a photograph or video frame. Our approach is to make an automatic method for identifying different varieties of maize seed using Image processing technology. As we have different tools for image processing we have used MatLab for implementing the proposed system. By maintaining some standardization in your proposed system we prepared the dataset using different verities of maize seed images and These images are compared against the sample seed image (input image), if input image is same as one of the dataset image verity than your proposed system displays the seed is recognized as of respected variety.

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A New Shape Feature Extraction Method for Leaf Image Retrieval

Vijayalakshmi¹

2013

Lecture Notes in Electrical Engineering

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Plant Seed Image Recognition System (PSIRS)

Cited by 15 publications

References 8 publications

Automatic Seed Classification by Shape and Color Features using Machine Vision Technology

Automatic Seed Classification by Shape and Color Features using Machine Vision Technology

Advance Technological Approach for Maize Seed Variety Identification Using Image Processing

A New Shape Feature Extraction Method for Leaf Image Retrieval

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