134 related articles for article (PubMed ID: 37932395)
1. A classification method for soybean leaf diseases based on an improved ConvNeXt model.
Wu Q; Ma X; Liu H; Bi C; Yu H; Liang M; Zhang J; Li Q; Tang Y; Ye G
Sci Rep; 2023 Nov; 13(1):19141. PubMed ID: 37932395
[TBL] [Abstract][Full Text] [Related]
2. MCCM: multi-scale feature extraction network for disease classification and recognition of chili leaves.
Li D; Zhang C; Li J; Li M; Huang M; Tang Y
Front Plant Sci; 2024; 15():1367738. PubMed ID: 38863551
[TBL] [Abstract][Full Text] [Related]
3. Identification of leaf diseases in field crops based on improved ShuffleNetV2.
Zhou H; Chen J; Niu X; Dai Z; Qin L; Ma L; Li J; Su Y; Wu Q
Front Plant Sci; 2024; 15():1342123. PubMed ID: 38529064
[TBL] [Abstract][Full Text] [Related]
4. FA-Net: A Fused Feature for Multi-Head Attention Recoding Network for Pear Leaf Nutritional Deficiency Diagnosis with Visual RGB-Image Depth and Shallow Features.
Song Y; Liu L; Rao Y; Zhang X; Jin X
Sensors (Basel); 2023 May; 23(9):. PubMed ID: 37177711
[TBL] [Abstract][Full Text] [Related]
5. A Recognition Method of Soybean Leaf Diseases Based on an Improved Deep Learning Model.
Yu M; Ma X; Guan H; Liu M; Zhang T
Front Plant Sci; 2022; 13():878834. PubMed ID: 35712600
[TBL] [Abstract][Full Text] [Related]
6. A ResNet50-DPA model for tomato leaf disease identification.
Liang J; Jiang W
Front Plant Sci; 2023; 14():1258658. PubMed ID: 37908831
[TBL] [Abstract][Full Text] [Related]
7. A dual-track feature fusion model utilizing Group Shuffle Residual DeformNet and swin transformer for the classification of grape leaf diseases.
Karthik R; Vardhan GV; Khaitan S; Harisankar RNR; Menaka R; Lingaswamy S; Won D
Sci Rep; 2024 Jun; 14(1):14510. PubMed ID: 38914605
[TBL] [Abstract][Full Text] [Related]
8. Research of segmentation recognition of small disease spots on apple leaves based on hybrid loss function and CBAM.
Zhang X; Li D; Liu X; Sun T; Lin X; Ren Z
Front Plant Sci; 2023; 14():1175027. PubMed ID: 37346136
[TBL] [Abstract][Full Text] [Related]
9. Classification of Plant Leaf Diseases Based on Improved Convolutional Neural Network.
Hang J; Zhang D; Chen P; Zhang J; Wang B
Sensors (Basel); 2019 Sep; 19(19):. PubMed ID: 31557958
[TBL] [Abstract][Full Text] [Related]
10. Multi-scale feature fusion-based lightweight dual stream transformer for detection of paddy leaf disease.
Kumar A; Yadav DP; Kumar D; Pant M; Pant G
Environ Monit Assess; 2023 Aug; 195(9):1020. PubMed ID: 37548778
[TBL] [Abstract][Full Text] [Related]
11. CASM-AMFMNet: A Network Based on Coordinate Attention Shuffle Mechanism and Asymmetric Multi-Scale Fusion Module for Classification of Grape Leaf Diseases.
Suo J; Zhan J; Zhou G; Chen A; Hu Y; Huang W; Cai W; Hu Y; Li L
Front Plant Sci; 2022; 13():846767. PubMed ID: 35685012
[TBL] [Abstract][Full Text] [Related]
12. Multimodal Hybrid Deep Learning Approach to Detect Tomato Leaf Disease Using Attention Based Dilated Convolution Feature Extractor with Logistic Regression Classification.
Islam MS; Sultana S; Farid FA; Islam MN; Rashid M; Bari BS; Hashim N; Husen MN
Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015839
[TBL] [Abstract][Full Text] [Related]
13. Stacking-based and improved convolutional neural network: a new approach in rice leaf disease identification.
Yang L; Yu X; Zhang S; Zhang H; Xu S; Long H; Zhu Y
Front Plant Sci; 2023; 14():1165940. PubMed ID: 37346133
[TBL] [Abstract][Full Text] [Related]
14. Maize Leaf Disease Recognition Based on Improved Convolutional Neural Network ShuffleNetV2.
Zhou H; Su Y; Chen J; Li J; Ma L; Liu X; Lu S; Wu Q
Plants (Basel); 2024 Jun; 13(12):. PubMed ID: 38931053
[TBL] [Abstract][Full Text] [Related]
15. Few-shot cotton leaf spots disease classification based on metric learning.
Liang X
Plant Methods; 2021 Nov; 17(1):114. PubMed ID: 34749780
[TBL] [Abstract][Full Text] [Related]
16. Improved tomato leaf disease classification through adaptive ensemble models with exponential moving average fusion and enhanced weighted gradient optimization.
V P; Kumar AMS; Praveen JIR; Venkatraman S; Kumar SP; Aravintakshan SA; Abeshek A; Kannan A
Front Plant Sci; 2024; 15():1382416. PubMed ID: 38828218
[TBL] [Abstract][Full Text] [Related]
17. STEDNet: Swin transformer-based encoder-decoder network for noise reduction in low-dose CT.
Zhu L; Han Y; Xi X; Fu H; Tan S; Liu M; Yang S; Liu C; Li L; Yan B
Med Phys; 2023 Jul; 50(7):4443-4458. PubMed ID: 36708286
[TBL] [Abstract][Full Text] [Related]
18. Rubber Leaf Disease Recognition Based on Improved Deep Convolutional Neural Networks With a Cross-Scale Attention Mechanism.
Zeng T; Li C; Zhang B; Wang R; Fu W; Wang J; Zhang X
Front Plant Sci; 2022; 13():829479. PubMed ID: 35295638
[TBL] [Abstract][Full Text] [Related]
19. Aggregating Different Scales of Attention on Feature Variants for Tomato Leaf Disease Diagnosis from Image Data: A Transformer Driven Study.
Hossain S; Tanzim Reza M; Chakrabarty A; Jung YJ
Sensors (Basel); 2023 Apr; 23(7):. PubMed ID: 37050811
[TBL] [Abstract][Full Text] [Related]
20. A robust deep learning approach for tomato plant leaf disease localization and classification.
Nawaz M; Nazir T; Javed A; Masood M; Rashid J; Kim J; Hussain A
Sci Rep; 2022 Nov; 12(1):18568. PubMed ID: 36329073
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]