119 related articles for article (PubMed ID: 38235123)
1. CountShoots: Automatic Detection and Counting of Slash Pine New Shoots Using UAV Imagery.
Hao X; Cao Y; Zhang Z; Tomasetto F; Yan W; Xu C; Luan Q; Li Y
Plant Phenomics; 2023; 5():0065. PubMed ID: 38235123
[TBL] [Abstract][Full Text] [Related]
2. Enabling Breeding Selection for Biomass in Slash Pine Using UAV-Based Imaging.
Song Z; Tomasetto F; Niu X; Yan WQ; Jiang J; Li Y
Plant Phenomics; 2022; 2022():9783785. PubMed ID: 35541565
[TBL] [Abstract][Full Text] [Related]
3. Detection of Pine Wilt Nematode from Drone Images Using UAV.
Sun Z; Ibrayim M; Hamdulla A
Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808205
[TBL] [Abstract][Full Text] [Related]
4. Prediction of Needle Physiological Traits Using UAV Imagery for Breeding Selection of Slash Pine.
Niu X; Song Z; Xu C; Wu H; Luan Q; Jiang J; Li Y
Plant Phenomics; 2023; 5():0028. PubMed ID: 36939412
[TBL] [Abstract][Full Text] [Related]
5. Phenomic selection in slash pine multi-temporally using UAV-multispectral imagery.
Li Y; Yang X; Tong L; Wang L; Xue L; Luan Q; Jiang J
Front Plant Sci; 2023; 14():1156430. PubMed ID: 37670863
[TBL] [Abstract][Full Text] [Related]
6. Automatic counting of rapeseed inflorescences using deep learning method and UAV RGB imagery.
Li J; Li Y; Qiao J; Li L; Wang X; Yao J; Liao G
Front Plant Sci; 2023; 14():1101143. PubMed ID: 36798713
[TBL] [Abstract][Full Text] [Related]
7. Automated extraction of
Ji Y; Yan E; Yin X; Song Y; Wei W; Mo D
Front Plant Sci; 2022; 13():958940. PubMed ID: 36035664
[TBL] [Abstract][Full Text] [Related]
8. Early detection of pine wilt disease tree candidates using time-series of spectral signatures.
Yu R; Huo L; Huang H; Yuan Y; Gao B; Liu Y; Yu L; Li H; Yang L; Ren L; Luo Y
Front Plant Sci; 2022; 13():1000093. PubMed ID: 36311089
[TBL] [Abstract][Full Text] [Related]
9. Pine wilt disease detection algorithm based on improved YOLOv5.
Du Z; Wu S; Wen Q; Zheng X; Lin S; Wu D
Front Plant Sci; 2024; 15():1302361. PubMed ID: 38699534
[TBL] [Abstract][Full Text] [Related]
10. Plant regeneration through multiple adventitious shoot differentiation from callus cultures of slash pine (Pinus elliottii).
Tang W; Newton RJ; Charles TM
J Plant Physiol; 2006 Jan; 163(1):98-101. PubMed ID: 16360808
[TBL] [Abstract][Full Text] [Related]
11. Using computer vision, image analysis and UAVs for the automatic recognition and counting of common cranes (Grus grus).
Chen A; Jacob M; Shoshani G; Charter M
J Environ Manage; 2023 Feb; 328():116948. PubMed ID: 36516707
[TBL] [Abstract][Full Text] [Related]
12. Leaf traits in relation to crown development, light interception and growth of elite families of loblolly and slash pine.
Chmura DJ; Tjoelker MG
Tree Physiol; 2008 May; 28(5):729-42. PubMed ID: 18316305
[TBL] [Abstract][Full Text] [Related]
13. Monitoring post-fire neighborhood competition effects on pine saplings under different environmental conditions by means of UAV multispectral data and structure-from-motion photogrammetry.
Fernández-Guisuraga JM; Calvo L; Suárez-Seoane S
J Environ Manage; 2022 Mar; 305():114373. PubMed ID: 34954682
[TBL] [Abstract][Full Text] [Related]
14. Integrating within-crown variation in net photosynthesis in loblolly and slash pine families.
McGarvey RC; Martin TA; White TL
Tree Physiol; 2004 Nov; 24(11):1209-20. PubMed ID: 15339730
[TBL] [Abstract][Full Text] [Related]
15. Quantifying pine processionary moth defoliation in a pine-oak mixed forest using unmanned aerial systems and multispectral imagery.
Cardil A; Otsu K; Pla M; Silva CA; Brotons L
PLoS One; 2019; 14(3):e0213027. PubMed ID: 30889176
[TBL] [Abstract][Full Text] [Related]
16. Rapid Detection of Wheat Ears in Orthophotos From Unmanned Aerial Vehicles in Fields Based on YOLOX.
Zhaosheng Y; Tao L; Tianle Y; Chengxin J; Chengming S
Front Plant Sci; 2022; 13():851245. PubMed ID: 35574098
[TBL] [Abstract][Full Text] [Related]
17. Multiple shoot production from seedling explants of slash pine (Pinus elliottii, Engelm.).
Burns JA; Schwarz OJ; Schlarbaum SE
Plant Cell Rep; 1991 Nov; 10(9):439-43. PubMed ID: 24221847
[TBL] [Abstract][Full Text] [Related]
18. YOLOX target detection model can identify and classify several types of tea buds with similar characteristics.
Yang M; Yuan W; Xu G
Sci Rep; 2024 Feb; 14(1):2855. PubMed ID: 38310143
[TBL] [Abstract][Full Text] [Related]
19. Using Deep Learning and Low-Cost RGB and Thermal Cameras to Detect Pedestrians in Aerial Images Captured by Multirotor UAV.
de Oliveira DC; Wehrmeister MA
Sensors (Basel); 2018 Jul; 18(7):. PubMed ID: 30002290
[TBL] [Abstract][Full Text] [Related]
20. Rapeseed Seedling Stand Counting and Seeding Performance Evaluation at Two Early Growth Stages Based on Unmanned Aerial Vehicle Imagery.
Zhao B; Zhang J; Yang C; Zhou G; Ding Y; Shi Y; Zhang D; Xie J; Liao Q
Front Plant Sci; 2018; 9():1362. PubMed ID: 30298081
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]