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jie deng
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Applying convolutional neural networks for detecting wheat stripe rust transmission centers under complex field conditions using RGB-based high spatial resolution images from UAVs
J Deng, H Zhou, X Lv, L Yang, J Shang, Q Sun, X Zheng, C Zhou, B Zhao, ...
Computers and Electronics in Agriculture 200, 107211, 2022
262022
Assessing macro disease index of wheat stripe rust based on segformer with complex background in the field
J Deng, X Lv, L Yang, B Zhao, C Zhou, Z Yang, J Jiang, N Ning, J Zhang, ...
Sensors 22 (15), 5676, 2022
132022
Effects of image dataset configuration on the accuracy of rice disease recognition based on convolution neural network
H Zhou, J Deng, D Cai, X Lv, BM Wu
Frontiers in Plant Science 13, 910878, 2022
82022
Pixel-level regression for UAV hyperspectral images: Deep learning-based quantitative inverse of wheat stripe rust disease index
J Deng, X Zhang, Z Yang, C Zhou, R Wang, K Zhang, X Lv, L Yang, ...
Computers and Electronics in Agriculture 215, 108434, 2023
72023
Quantitative estimation of wheat stripe rust disease index using unmanned aerial vehicle hyperspectral imagery and innovative vegetation indices
J Deng, R Wang, L Yang, X Lv, Z Yang, K Zhang, C Zhou, L Pengju, ...
IEEE Transactions on Geoscience and Remote Sensing, 2023
62023
Efficient Wheat Lodging Detection Using UAV Remote Sensing Images and an Innovative Multi-Branch Classification Framework
K Zhang, R Zhang, Z Yang, J Deng, A Abdullah, C Zhou, X Lv, R Wang, ...
Remote Sensing 15 (18), 4572, 2023
22023
Use of a real-time PCR method to quantify the primary infection of Plasmopara viticola in commercial vineyards
L Yang, B Chu, J Deng, K Yuan, Q Sun, C Jiang, Z Ma
Phytopathology Research 5 (1), 19, 2023
22023
Exploring the association between latent Plasmopara viticola infection and downy mildew epidemic in commercial vineyards: Application of qPCR assay
ZM Lujia Yang, Jie Deng, Bingyao Chu, Xuan Lv, Shuang Song, Yi Zhang, Qiuyu Sun
Plant Pathology, 2023
1*2023
宁夏设施番茄病毒病病原鉴定
邓杰, 王炜哲, 杨璐嘉, 马占鸿
植物病理学报 50 (4), 494-498, 2020
12020
RustQNet: Multimodal deep learning for quantitative inversion of wheat stripe rust disease index
J Deng, D Hong, C Li, J Yao, Z Yang, Z Zhang, J Chanussot
Computers and Electronics in Agriculture 225, 109245, 2024
2024
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