In this work, we aim to develop an effective neural augmentation model that can render synthetic disease patterns on uninfected leaf images.
Jun 12, 2024 · A deep features extraction model based on the transfer learning model and vision transformer “TLMViT” for plant disease classification.
Effective plant disease diagnosis using Vision Transformer trained with leafy-generative adversarial network-generated images.
Effective plant disease diagnosis using Vision Transformer trained with leafy-generative adversarial network-generated images. AK Singh, A Rao, P Chattopadhyay, ...
Effective plant disease diagnosis using Vision Transformer trained with leafy-generative adversarial network-generated images. 2024, Expert Systems with ...
However, Kalaydjian & C. T. (2023) also had a good accuracy of 99% in detecting plant leaf disease detection. ...
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This work proposes a smartphone-based solution using a Vision Transformer (ViT) model for identifying healthy plants and unhealthy plants with diseases.
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This paper provides a systematic review of the literature on leaf disease-based models for the diagnosis of various plant leaf diseases via deep learning. The ...
Jun 13, 2024 · This research paper proposes a deep convolutional neural network model that can rapidly and accurately identify plant diseases.
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May 26, 2022 · This study suggested a Tranvolution detection network with GAN modules for plant disease detection. Foremost, a generative model was added ahead of the ...
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