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- W4385235983 abstract "Pest detection and identification in a timely manner is a crucial step for precision agriculture. Halyomorpha Halys is a common pest whose negative effects are known in agricultural areas and on various crops. The present work implemented and studied four performant neural networks, VGG19_BN, EfficientNetB7, DenseNet161, and ResNet152 for the detection of these insects. Although the detection of these insects in the natural environment through automated means, excluding traps, is a challenge, the results obtained are promising." @default.
- W4385235983 created "2023-07-26" @default.
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- W4385235983 date "2023-06-26" @default.
- W4385235983 modified "2023-10-18" @default.
- W4385235983 title "Deep Neural Networks for Halyomorpha Halys Detection" @default.
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- W4385235983 doi "https://doi.org/10.1109/med59994.2023.10185751" @default.
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