Deep Neural Networks for Halyomorpha Halys Detection

被引:0
|
作者
Dinca, Alexandru [1 ]
Angelescu, Nicoleta [2 ]
Ichim, Loretta [1 ]
Popescu, Dan [1 ]
机构
[1] Univ Politehn Bucuresti, Fac Automat Control & Comp Sci, Bucharest, Romania
[2] Valahia Univ Targoviste, Fac Elect Engn Elect & Informat Technol, Targoviste, Romania
关键词
convolutional neural networks; image classification; Halyomorpha Halys; pest detection; agriculture;
D O I
10.1109/MED59994.2023.10185751
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:317 / 322
页数:6
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