A Novel Object Detection Model Based on Faster R-CNN for Spodoptera frugiperda According to Feeding Trace of Corn Leaves - Du, Lei; Sun, Yaqin; Chen, Shuo; Feng, Jiedong; Zhao, Yindi; Yan, Zhigang; Zhang, Xuewei; Bian, Yuchen (Agriculture (Basel), 2022)
Keywords: Ablation; Accuracy; agriculture; Cereal crops; Classification; Color imagery; Convolution; Corn; Costs; Crop diseases; Crop production; Crop yield; Crops; data collection; Datasets; Deep learning; Deformation effects; Error detection; Feeding; Formability; Generalized linear models; Image acquisition; Insects; juveniles; Laboratories; Localization; Machine learning; maize Spodoptera frugiperda; migratory behavior; Model accuracy; Monitoring; object detection; Object recognition; Pest control; Pests; Plant diseases; Remote sensing; rice; Spodoptera frugiperda; Unmanned aerial vehicles; Vegetation; Visual fields