These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

133 related articles for article (PubMed ID: 36714695)

  • 1. Recognition of soybean pods and yield prediction based on improved deep learning model.
    He H; Ma X; Guan H; Wang F; Shen P
    Front Plant Sci; 2022; 13():1096619. PubMed ID: 36714695
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Soybean Yield Preharvest Prediction Based on Bean Pods and Leaves Image Recognition Using Deep Learning Neural Network Combined With GRNN.
    Lu W; Du R; Niu P; Xing G; Luo H; Deng Y; Shu L
    Front Plant Sci; 2021; 12():791256. PubMed ID: 35095964
    [TBL] [Abstract][Full Text] [Related]  

  • 3. YOLO POD: a fast and accurate multi-task model for dense Soybean Pod counting.
    Xiang S; Wang S; Xu M; Wang W; Liu W
    Plant Methods; 2023 Jan; 19(1):8. PubMed ID: 36709313
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Exploring Soybean Flower and Pod Variation Patterns During Reproductive Period Based on Fusion Deep Learning.
    Zhu R; Wang X; Yan Z; Qiao Y; Tian H; Hu Z; Zhang Z; Li Y; Zhao H; Xin D; Chen Q
    Front Plant Sci; 2022; 13():922030. PubMed ID: 35909768
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Extraction of soybean plant trait parameters based on SfM-MVS algorithm combined with GRNN.
    He W; Ye Z; Li M; Yan Y; Lu W; Xing G
    Front Plant Sci; 2023; 14():1181322. PubMed ID: 37560031
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Novel Approach to Pod Count Estimation Using a Depth Camera in Support of Soybean Breeding Applications.
    Mathew J; Delavarpour N; Miranda C; Stenger J; Zhang Z; Aduteye J; Flores P
    Sensors (Basel); 2023 Jul; 23(14):. PubMed ID: 37514799
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Fast and precise detection of litchi fruits for yield estimation based on the improved YOLOv5 model.
    Wang L; Zhao Y; Xiong Z; Wang S; Li Y; Lan Y
    Front Plant Sci; 2022; 13():965425. PubMed ID: 36017261
    [TBL] [Abstract][Full Text] [Related]  

  • 8. DEKR-SPrior: An Efficient Bottom-Up Keypoint Detection Model for Accurate Pod Phenotyping in Soybean.
    He J; Weng L; Xu X; Chen R; Peng B; Li N; Xie Z; Sun L; Han Q; He P; Wang F; Yu H; Bhat JA; Feng X
    Plant Phenomics; 2024; 6():0198. PubMed ID: 38939747
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Foxtail Millet Ear Detection Method Based on Attention Mechanism and Improved YOLOv5.
    Qiu S; Li Y; Zhao H; Li X; Yuan X
    Sensors (Basel); 2022 Oct; 22(21):. PubMed ID: 36365902
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Recognition of terminal buds of densely-planted Chinese fir seedlings using improved YOLOv5 by integrating attention mechanism.
    Ye Z; Guo Q; Wei J; Zhang J; Zhang H; Bian L; Guo S; Zheng X; Cao S
    Front Plant Sci; 2022; 13():991929. PubMed ID: 36299793
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bean pod mottle virus Time of Infection Influences Soybean Yield, Yield Components, and Quality.
    Byamukama E; Robertson AE; Nutter FW
    Plant Dis; 2015 Jul; 99(7):1026-1032. PubMed ID: 30690975
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Lightweight Algorithm for Apple Detection Based on an Improved YOLOv5 Model.
    Sun Y; Zhang D; Guo X; Yang H
    Plants (Basel); 2023 Aug; 12(17):. PubMed ID: 37687279
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Loss of pod set caused by drought stress is associated with water status and ABA content of reproductive structures in soybean.
    Liu F; Andersen MN; Jensen CR
    Funct Plant Biol; 2003 Mar; 30(3):271-280. PubMed ID: 32689009
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An Improved YOLOv5 Model: Application to Mixed Impurities Detection for Walnut Kernels.
    Yu L; Qian M; Chen Q; Sun F; Pan J
    Foods; 2023 Feb; 12(3):. PubMed ID: 36766152
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Detection and Classification of Cotton Foreign Fibers Based on Polarization Imaging and Improved YOLOv5.
    Wang R; Zhang ZF; Yang B; Xi HQ; Zhai YS; Zhang RL; Geng LJ; Chen ZY; Yang K
    Sensors (Basel); 2023 Apr; 23(9):. PubMed ID: 37177618
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Classification of peanut pod rot based on improved YOLOv5s.
    Liu Y; Li X; Fan Y; Liu L; Shao L; Yan G; Geng Y; Zhang Y
    Front Plant Sci; 2024; 15():1364185. PubMed ID: 38685961
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Detection of Green Asparagus in Complex Environments Based on the Improved YOLOv5 Algorithm.
    Hong W; Ma Z; Ye B; Yu G; Tang T; Zheng M
    Sensors (Basel); 2023 Feb; 23(3):. PubMed ID: 36772602
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Expression of the narrow leaflet gene for yield and agronomic traits in soybean.
    Dinkins RD; Keim KR; Farno L; Edwards LH
    J Hered; 2002; 93(5):346-51. PubMed ID: 12547923
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.