CashNet-15:An Optimized Cashew Nut Grading Using Deep CNN and Data Augmentation
Authors:
- 1 March 2019
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-5
Abstract
Since there is a great demand for the quality of agricultural products in the global market. It is very important to improve the quality and standards of agricultural products to competent in the business world. Furthermore cashew is a significant produce in India as well as it takes the major part in the global export market for cashew nut. But the most of the methods proposed for grading system is wouldn’t reach the better accuracy. Hence to improve the performance, we proposed the optimized cashew nut grading using Deep CNN and Data augmentation. This CashNet-15 work consists of totally 15 layers of CNN. Here we used 8 convolution layer and 4 Max-poolong layer for feature extraction and remaining are 1 fully connected layer, 1activation function and 1dropout layer. To attain the better performance we used data augmentation methods. To optimize the network, hyperparameter like SGD with Beta momentum and Leaky rectified linear unit was used to reduce the loss function and to obtain the non-linear property.Keywords
This publication has 12 references indexed in Scilit:
- Real-world plant species identification based on deep convolutional neural networks and visual attentionEcological Informatics, 2018
- Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualizationMechanical Systems and Signal Processing, 2018
- Weed detection in soybean crops using ConvNetsComputers and Electronics in Agriculture, 2017
- Grading fruits and vegetables using RGB-D images and convolutional neural network2017
- ImageNet classification with deep convolutional neural networksCommunications of the ACM, 2017
- Plant species classification using deep convolutional neural networkBiosystems Engineering, 2016
- Automated cashew kernel grading using machine vision2016
- Recognition and classification of White Wholes (WW) grade cashew kernel using artificial neural networksActa Scientiarum. Agronomy, 2016
- Going deeper with convolutions2015
- Fuzzy Logic Based Computer Vision System for Classification of Whole Cashew Kernel2011