Automatic Localization and Count of Agricultural Crop Pests Based on an Improved Deep Learning Pipeline

Abstract Insect pests are known to be a major cause of damage to agricultural crops. This paper proposed a deep learning-based pipeline for localization and counting of agricultural pests in images by self-learning saliency feature maps. Our method integrates a convolutional neural network (CNN) of...

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Autores principales: Weilu Li, Peng Chen, Bing Wang, Chengjun Xie
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
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Acceso en línea:https://doaj.org/article/cbf85683fea8493ea6a1cbf6c76672dc
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