Seeds Classification Using Deep Neural Network: A Review
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50330-6_17
Reference38 articles.
1. Qiu, Z., et al.: Variety ıdentification of single rice seed using hyperspectral ımaging combined with convolutional neural network. Appl. Sci. 8(2), MDPI AG, Jan 2018, p 212. https://doi.org/10.3390/app8020212
2. Kurtulmuş, F., et al.: Classification of pepper seeds using machine vision based on neural network | Kurtulmuş. Int. J. Agric. Biol. Eng. 31 Jan 2016. https://doi.org/10.25165/ijabe.v9i1.1790
3. Parnian, R., Ahmad, Javidan, R.: Autonomous wheat seed type classifier system. Int. J. Comput. Appl. 96(12), 14–17 June 2014. Foundation of Computer Science. Crossref, https://doi.org/10.5120/16845-6702
4. Dyrmann, M., et al.: Plant species classification using deep convolutional neural network. Biosyst. Eng. 151, 72–80 Nov. 2016, Elsevier BV. https://doi.org/10.1016/j.biosystemseng.2016.08.024
5. Eldem, A.: An application of deep neural network for classification of wheat seeds. Avrupa Bilim ve Teknoloji Dergisi 19 (2020). https://doi.org/10.31590/ejosat.719048
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