BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

146 related articles for article (PubMed ID: 37521914)

  • 1. A lightweight model for efficient identification of plant diseases and pests based on deep learning.
    Guan H; Fu C; Zhang G; Li K; Wang P; Zhu Z
    Front Plant Sci; 2023; 14():1227011. PubMed ID: 37521914
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition.
    Fuentes A; Yoon S; Kim SC; Park DS
    Sensors (Basel); 2017 Sep; 17(9):. PubMed ID: 28869539
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Intelligent Identification of Jute Pests Based on Transfer Learning and Deep Convolutional Neural Networks.
    Sourav MSU; Wang H
    Neural Process Lett; 2022 Aug; ():1-18. PubMed ID: 35990859
    [TBL] [Abstract][Full Text] [Related]  

  • 4. EResNet-SVM: an overfitting-relieved deep learning model for recognition of plant diseases and pests.
    Xiong H; Li J; Wang T; Zhang F; Wang Z
    J Sci Food Agric; 2024 Aug; 104(10):6018-6034. PubMed ID: 38483173
    [TBL] [Abstract][Full Text] [Related]  

  • 5. PMVT: a lightweight vision transformer for plant disease identification on mobile devices.
    Li G; Wang Y; Zhao Q; Yuan P; Chang B
    Front Plant Sci; 2023; 14():1256773. PubMed ID: 37822342
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Recognition pest by image-based transfer learning.
    Dawei W; Limiao D; Jiangong N; Jiyue G; Hongfei Z; Zhongzhi H
    J Sci Food Agric; 2019 Aug; 99(10):4524-4531. PubMed ID: 30868598
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic Classification Service System for Citrus Pest Recognition Based on Deep Learning.
    Lee S; Choi G; Park HC; Choi C
    Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433508
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. High-Performance Plant Pest and Disease Detection Based on Model Ensemble with Inception Module and Cluster Algorithm.
    Li M; Cheng S; Cui J; Li C; Li Z; Zhou C; Lv C
    Plants (Basel); 2023 Jan; 12(1):. PubMed ID: 36616330
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MS-Net: a novel lightweight and precise model for plant disease identification.
    Quan S; Wang J; Jia Z; Yang M; Xu Q
    Front Plant Sci; 2023; 14():1276728. PubMed ID: 37965007
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of plant leaf diseases by deep learning based on channel attention and channel pruning.
    Chen R; Qi H; Liang Y; Yang M
    Front Plant Sci; 2022; 13():1023515. PubMed ID: 36438120
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. 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]  

  • 16. The power of transfer learning in agricultural applications: AgriNet.
    Al Sahili Z; Awad M
    Front Plant Sci; 2022; 13():992700. PubMed ID: 36589063
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Research on identification method of peanut pests and diseases based on lightweight LSCDNet model.
    Yun Y; Yu Q; Yang Z; An X; Li D; Huang J; Zheng D; Feng Q; Ma D
    Phytopathology; 2024 May; ():. PubMed ID: 38810273
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Improving Accuracy of Tomato Plant Disease Diagnosis Based on Deep Learning With Explicit Control of Hidden Classes.
    Fuentes A; Yoon S; Lee MH; Park DS
    Front Plant Sci; 2021; 12():682230. PubMed ID: 34975931
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Rice pest identification based on multi-scale double-branch GAN-ResNet.
    Hu K; Liu Y; Nie J; Zheng X; Zhang W; Liu Y; Xie T
    Front Plant Sci; 2023; 14():1167121. PubMed ID: 37123817
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.