180 related articles for article (PubMed ID: 35735891)
1. Automatic Crop Pest Detection Oriented Multiscale Feature Fusion Approach.
Dong S; Du J; Jiao L; Wang F; Liu K; Teng Y; Wang R
Insects; 2022 Jun; 13(6):. PubMed ID: 35735891
[TBL] [Abstract][Full Text] [Related]
2. Attention-Based Multiscale Feature Pyramid Network for Corn Pest Detection under Wild Environment.
Kang C; Jiao L; Wang R; Liu Z; Du J; Hu H
Insects; 2022 Oct; 13(11):. PubMed ID: 36354802
[TBL] [Abstract][Full Text] [Related]
3. Feature Refinement Method Based on the Two-Stage Detection Framework for Similar Pest Detection in the Field.
Chen H; Wang R; Du J; Chen T; Liu H; Zhang J; Li R; Zhou G
Insects; 2023 Oct; 14(10):. PubMed ID: 37887831
[TBL] [Abstract][Full Text] [Related]
4. AgriPest-YOLO: A rapid light-trap agricultural pest detection method based on deep learning.
Zhang W; Huang H; Sun Y; Wu X
Front Plant Sci; 2022; 13():1079384. PubMed ID: 36589124
[TBL] [Abstract][Full Text] [Related]
5. An Efficient Pest Detection Framework with a Medium-Scale Benchmark to Increase the Agricultural Productivity.
Aladhadh S; Habib S; Islam M; Aloraini M; Aladhadh M; Al-Rawashdeh HS
Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560117
[TBL] [Abstract][Full Text] [Related]
6. Pest-YOLO: A model for large-scale multi-class dense and tiny pest detection and counting.
Wen C; Chen H; Ma Z; Zhang T; Yang C; Su H; Chen H
Front Plant Sci; 2022; 13():973985. PubMed ID: 36570910
[TBL] [Abstract][Full Text] [Related]
7. An automatic system for pest recognition and forecasting.
Wang R; Li R; Chen T; Zhang J; Xie C; Qiu K; Chen P; Du J; Chen H; Shao F; Hu H; Liu H
Pest Manag Sci; 2022 Feb; 78(2):711-721. PubMed ID: 34672074
[TBL] [Abstract][Full Text] [Related]
8. Tomato Diseases and Pests Detection Based on Improved Yolo V3 Convolutional Neural Network.
Liu J; Wang X
Front Plant Sci; 2020; 11():898. PubMed ID: 32612632
[TBL] [Abstract][Full Text] [Related]
9. A Novel Deep Learning Model for Accurate Pest Detection and Edge Computing Deployment.
Kang H; Ai L; Zhen Z; Lu B; Man Z; Yi P; Li M; Lin L
Insects; 2023 Jul; 14(7):. PubMed ID: 37504666
[TBL] [Abstract][Full Text] [Related]
10. MSR-RCNN: A Multi-Class Crop Pest Detection Network Based on a Multi-Scale Super-Resolution Feature Enhancement Module.
Teng Y; Zhang J; Dong S; Zheng S; Liu L
Front Plant Sci; 2022; 13():810546. PubMed ID: 35310676
[TBL] [Abstract][Full Text] [Related]
11. AI-Enabled Crop Management Framework for Pest Detection Using Visual Sensor Data.
Khan A; Malebary SJ; Dang LM; Binzagr F; Song HK; Moon H
Plants (Basel); 2024 Feb; 13(5):. PubMed ID: 38475499
[TBL] [Abstract][Full Text] [Related]
12. Yolo-Pest: An Insect Pest Object Detection Algorithm via CAC3 Module.
Xiang Q; Huang X; Huang Z; Chen X; Cheng J; Tang X
Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991930
[TBL] [Abstract][Full Text] [Related]
13. A New Pest Detection Method Based on Improved YOLOv5m.
Dai M; Dorjoy MMH; Miao H; Zhang S
Insects; 2023 Jan; 14(1):. PubMed ID: 36661982
[TBL] [Abstract][Full Text] [Related]
14. Farmland pest recognition based on Cascade RCNN Combined with Swin-Transformer.
Xu R; Yu J; Ai L; Yu H; Wei Z
PLoS One; 2024; 19(6):e0304284. PubMed ID: 38843129
[TBL] [Abstract][Full Text] [Related]
15. Tomato Pest Recognition Algorithm Based on Improved YOLOv4.
Liu J; Wang X; Miao W; Liu G
Front Plant Sci; 2022; 13():814681. PubMed ID: 35909759
[TBL] [Abstract][Full Text] [Related]
16. Based on the multi-scale information sharing network of fine-grained attention for agricultural pest detection.
Linfeng W; Yong L; Jiayao L; Yunsheng W; Shipu X
PLoS One; 2023; 18(10):e0286732. PubMed ID: 37796844
[TBL] [Abstract][Full Text] [Related]
17. Global Context-Aware-Based Deformable Residual Network Module for Precise Pest Recognition and Detection.
Jiao L; Li G; Chen P; Wang R; Du J; Liu H; Dong S
Front Plant Sci; 2022; 13():895944. PubMed ID: 35720529
[TBL] [Abstract][Full Text] [Related]
18. Segmentation and detection of crop pests using novel U-Net with hybrid deep learning mechanism.
Biradar N; Hosalli G
Pest Manag Sci; 2024 Mar; ():. PubMed ID: 38506377
[TBL] [Abstract][Full Text] [Related]
19. Survey on crop pest detection using deep learning and machine learning approaches.
Chithambarathanu M; Jeyakumar MK
Multimed Tools Appl; 2023 Apr; ():1-34. PubMed ID: 37362671
[TBL] [Abstract][Full Text] [Related]
20. Convolutional Rebalancing Network for the Classification of Large Imbalanced Rice Pest and Disease Datasets in the Field.
Yang G; Chen G; Li C; Fu J; Guo Y; Liang H
Front Plant Sci; 2021; 12():671134. PubMed ID: 34290724
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]