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Publication Type : Journal Article
Publisher : IEEE
Source : 4th International Conference on Signal Processing and Communication (ICSPC)
Url : https://ieeexplore.ieee.org/abstract/document/10126067
Campus : Coimbatore
School : School of Engineering
Year : 2023
Abstract : In recent times deep learning and machine learning algorithms has a major role in the advancement of emerging technologies and also in various sectors like: Agricultural, educational, industrial etc. But a major drawbackwith ML and DL algorithmsisto find a suitable and apt datasetwith huge number of samples to train a model. So, in this paperwork we have implemented data augmentation for cotton leaves by generating a synthetic dataset using DCGAN (Deep Convolutional Generative Adversarial Network). Syntheticdataset is an artificial dataset which uses various artificial algorithms to generates a new dataset with larger number of samples. Hence in this work we have used DCGAN algorithm to generate a synthetic dataset, which effectively generates a new dataset for cotton leaves with images similar to the original dataset
Cite this Research Publication : L. Y. N. A, B. G, S. P. A. S, S. S and R. C. B, "Generating Synthetic Dataset for Cotton Leaf using DCGAN," 2023 4th International Conference on Signal Processing and Communication (ICSPC), Coimbatore, India, 2023, pp. 249-252, doi: 10.1109/ICSPC57692.2023.10126067.