Web: http://arxiv.org/abs/2209.11214

Sept. 23, 2022, 1:15 a.m. | Selvarajah Thuseethan, Palanisamy Vigneshwaran, Joseph Charles, Chathrie Wimalasooriya

cs.CV updates on arXiv.org arxiv.org

Automatic tomato disease recognition from leaf images is vital to avoid crop
losses by applying control measures on time. Even though recent deep
learning-based tomato disease recognition methods with classical training
procedures showed promising recognition results, they demand large labelled
data and involve expensive training. The traditional deep learning models
proposed for tomato disease recognition also consume high memory and storage
because of a high number of parameters. While lightweight networks overcome
some of these issues to a certain extent, …

arxiv disease framework network

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