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

来源：

2023 31ST MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION, MED | 2023年

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

页码：317 / 322

页数：6

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