A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Detection of Plant Leaf Disease by Generative Adversarial and Deep Convolutional Neural Network
The majority of emerging countries' economic, social, and cultural development is highly dependent on the agricultural sector. Plant disease, however, might result in decreased crop yield and economic expansion. Numerous computer vision and artificial intelligence schemes have been put forth in the past for the automatic detection of plant leaf diseases, but their performance has fallen short due to problems with underprivileged feature representation, lower-order raw feature correlation, data imbalance, and a lack of generalization. In order to address the issue of data imbalance, this research describes the automatic diagnosis of plant leaf diseases using a generative adversarial network for data augmentation and a deep convolutional neural network to enhance feature representation and correlation. Ten tomato plant disease classes from the PlantVillage foliar disease database are the subject of extensive testing.
Detection of Plant Leaf Disease by Generative Adversarial and Deep Convolutional Neural Network
The majority of emerging countries' economic, social, and cultural development is highly dependent on the agricultural sector. Plant disease, however, might result in decreased crop yield and economic expansion. Numerous computer vision and artificial intelligence schemes have been put forth in the past for the automatic detection of plant leaf diseases, but their performance has fallen short due to problems with underprivileged feature representation, lower-order raw feature correlation, data imbalance, and a lack of generalization. In order to address the issue of data imbalance, this research describes the automatic diagnosis of plant leaf diseases using a generative adversarial network for data augmentation and a deep convolutional neural network to enhance feature representation and correlation. Ten tomato plant disease classes from the PlantVillage foliar disease database are the subject of extensive testing.
Detection of Plant Leaf Disease by Generative Adversarial and Deep Convolutional Neural Network
J. Inst. Eng. India Ser. B
Deshpande, Rashmi (author) / Patidar, Hemant (author)
Journal of The Institution of Engineers (India): Series B ; 104 ; 1043-1052
2023-10-01
10 pages
Article (Journal)
Electronic Resource
English
Plant Disease Detection by Leaf Image Classification Using Convolutional Neural Network
| British Library Conference Proceedings | 2019
Plant Disease Detection: An Augmented Approach Using CNN and Generative Adversarial Network (GAN)
| British Library Conference Proceedings | 2020