A new model based on improved VGG16 for corn weed identification
Le Yang(Guangzhou University of Chinese Medicine), Yingwen Zhu(Jiangxi Agricultural University), Shuang Xu(Jiangxi Agricultural University), Huibin Long(Jiangxi Agricultural University), Xiaoyun Yu(Johns Hopkins University), Huanhuan Zhang(Guangdong University of Technology)
Cited by 28
Related Papers
Self-assembled 2D WSe2 thin films for photoelectrochemical hydrogen production
|Nature Communications|2015|274
GoogLeNet based on residual network and attention mechanism identification of rice leaf diseases
|Computers and Electronics in Agriculture|2022|155
Seismic fault detection using convolutional neural networks with focal loss
|Computers & Geosciences|2021|69
MFFW: A new dataset for multi-focus image fusion
|arXiv (Cornell University)|2020|56
Cancer chemoprevention: signaling pathways and strategic approaches
|Signal Transduction and Targeted Therapy|2025|45