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Journal Abstract Search

343 related items for PubMed ID: 36684785

  • 1. YOLO-P: An efficient method for pear fast detection in complex orchard picking environment.
    Sun H, Wang B, Xue J.
    Front Plant Sci; 2022; 13():1089454. PubMed ID: 36684785
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  • 5. Study on Pear Flowers Detection Performance of YOLO-PEFL Model Trained With Synthetic Target Images.
    Wang C, Wang Y, Liu S, Lin G, He P, Zhang Z, Zhou Y.
    Front Plant Sci; 2022; 13():911473. PubMed ID: 35747884
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  • 6. Fusion of fruit image processing and deep learning: a study on identification of citrus ripeness based on R-LBP algorithm and YOLO-CIT model.
    Wang C, Han Q, Li C, Zou T, Zou X.
    Front Plant Sci; 2024; 15():1397816. PubMed ID: 38903428
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  • 7. Lightweight Algorithm for Apple Detection Based on an Improved YOLOv5 Model.
    Sun Y, Zhang D, Guo X, Yang H.
    Plants (Basel); 2023 Aug 23; 12(17):. PubMed ID: 37687279
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  • 9. Pear Recognition in an Orchard from 3D Stereo Camera Datasets to Develop a Fruit Picking Mechanism Using Mask R-CNN.
    Pan S, Ahamed T.
    Sensors (Basel); 2022 May 31; 22(11):. PubMed ID: 35684807
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  • 10. CAM-YOLO: tomato detection and classification based on improved YOLOv5 using combining attention mechanism.
    Appe SN, G A, Gn B.
    PeerJ Comput Sci; 2023 May 31; 9():e1463. PubMed ID: 37547387
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  • 12. A Real-Time Zanthoxylum Target Detection Method for an Intelligent Picking Robot under a Complex Background, Based on an Improved YOLOv5s Architecture.
    Xu Z, Huang X, Huang Y, Sun H, Wan F.
    Sensors (Basel); 2022 Jan 17; 22(2):. PubMed ID: 35062643
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  • 13. "Is this blueberry ripe?": a blueberry ripeness detection algorithm for use on picking robots.
    Liu Y, Zheng H, Zhang Y, Zhang Q, Chen H, Xu X, Wang G.
    Front Plant Sci; 2023 Jan 17; 14():1198650. PubMed ID: 37360727
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  • 14. EADD-YOLO: An efficient and accurate disease detector for apple leaf using improved lightweight YOLOv5.
    Zhu S, Ma W, Wang J, Yang M, Wang Y, Wang C.
    Front Plant Sci; 2023 Jan 17; 14():1120724. PubMed ID: 36909428
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  • 15. An improved YOLO v4 used for grape detection in unstructured environment.
    Guo C, Zheng S, Cheng G, Zhang Y, Ding J.
    Front Plant Sci; 2023 Jan 17; 14():1209910. PubMed ID: 37521937
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  • 16. Unstructured road extraction and roadside fruit recognition in grape orchards based on a synchronous detection algorithm.
    Zhou X, Zou X, Tang W, Yan Z, Meng H, Luo X.
    Front Plant Sci; 2023 Jan 17; 14():1103276. PubMed ID: 37332733
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  • 17. 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 Jan 17; 13():965425. PubMed ID: 36017261
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  • 18. Enhanced tomato detection in greenhouse environments: a lightweight model based on S-YOLO with high accuracy.
    Sun X.
    Front Plant Sci; 2024 Jan 17; 15():1451018. PubMed ID: 39239201
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  • 19. Dragon fruit detection in natural orchard environment by integrating lightweight network and attention mechanism.
    Zhang B, Wang R, Zhang H, Yin C, Xia Y, Fu M, Fu W.
    Front Plant Sci; 2022 Jan 17; 13():1040923. PubMed ID: 36340417
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  • 20. YOLOv7-Plum: Advancing Plum Fruit Detection in Natural Environments with Deep Learning.
    Tang R, Lei Y, Luo B, Zhang J, Mu J.
    Plants (Basel); 2023 Aug 07; 12(15):. PubMed ID: 37571037
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