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.
186 related articles for article (PubMed ID: 34961275)
1. Development of a Low-Cost System for 3D Orchard Mapping Integrating UGV and LiDAR. Murcia HF; Tilaguy S; Ouazaa S Plants (Basel); 2021 Dec; 10(12):. PubMed ID: 34961275 [TBL] [Abstract][Full Text] [Related]
2. Design and Development of a Low-Cost UGV 3D Phenotyping Platform with Integrated LiDAR and Electric Slide Rail. Cai S; Gou W; Wen W; Lu X; Fan J; Guo X Plants (Basel); 2023 Jan; 12(3):. PubMed ID: 36771568 [TBL] [Abstract][Full Text] [Related]
3. Mobile LiDAR Scanning System Combined with Canopy Morphology Extracting Methods for Tree Crown Parameters Evaluation in Orchards. Wang K; Zhou J; Zhang W; Zhang B Sensors (Basel); 2021 Jan; 21(2):. PubMed ID: 33419182 [TBL] [Abstract][Full Text] [Related]
4. A Canopy Information Measurement Method for Modern Standardized Apple Orchards Based on UAV Multimodal Information. Sun G; Wang X; Yang H; Zhang X Sensors (Basel); 2020 May; 20(10):. PubMed ID: 32466120 [TBL] [Abstract][Full Text] [Related]
5. Proposing UGV and UAV Systems for 3D Mapping of Orchard Environments. Tagarakis AC; Filippou E; Kalaitzidis D; Benos L; Busato P; Bochtis D Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214470 [TBL] [Abstract][Full Text] [Related]
6. On-Ground Vineyard Reconstruction Using a LiDAR-Based Automated System. Moreno H; Valero C; Bengochea-Guevara JM; Ribeiro Á; Garrido-Izard M; Andújar D Sensors (Basel); 2020 Feb; 20(4):. PubMed ID: 32085436 [TBL] [Abstract][Full Text] [Related]
7. Deep learning-based prediction of plant height and crown area of vegetable crops using LiDAR point cloud. J R; Nidamanuri RR Sci Rep; 2024 Jun; 14(1):14903. PubMed ID: 38942825 [TBL] [Abstract][Full Text] [Related]
8. The Feasibility of Modelling the Crown Profile of Quan Y; Li M; Zhen Z; Hao Y; Wang B Sensors (Basel); 2020 Sep; 20(19):. PubMed ID: 32998340 [TBL] [Abstract][Full Text] [Related]
9. Comparing Nadir and Oblique Thermal Imagery in UAV-Based 3D Crop Water Stress Index Applications for Precision Viticulture with LiDAR Validation. Buunk T; Vélez S; Ariza-Sentís M; Valente J Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896718 [TBL] [Abstract][Full Text] [Related]
10. A Lidar Point Cloud Based Procedure for Vertical Canopy Structure Analysis And 3D Single Tree Modelling in Forest. Wang Y; Weinacker H; Koch B Sensors (Basel); 2008 Jun; 8(6):3938-3951. PubMed ID: 27879916 [TBL] [Abstract][Full Text] [Related]
11. Optimization and Evaluation of Sensor Angles for Precise Assessment of Architectural Traits in Peach Trees. Raman MG; Carlos EF; Sankaran S Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746401 [TBL] [Abstract][Full Text] [Related]
12. Considerations for Achieving Cross-Platform Point Cloud Data Fusion across Different Dryland Ecosystem Structural States. Swetnam TL; Gillan JK; Sankey TT; McClaran MP; Nichols MH; Heilman P; McVay J Front Plant Sci; 2017; 8():2144. PubMed ID: 29379511 [TBL] [Abstract][Full Text] [Related]
13. Cotton morphological traits tracking through spatiotemporal registration of terrestrial laser scanning time-series data. Rodriguez-Sanchez J; Snider JL; Johnsen K; Li C Front Plant Sci; 2024; 15():1436120. PubMed ID: 39148622 [TBL] [Abstract][Full Text] [Related]
14. Dynamic detection of three-dimensional crop phenotypes based on a consumer-grade RGB-D camera. Song P; Li Z; Yang M; Shao Y; Pu Z; Yang W; Zhai R Front Plant Sci; 2023; 14():1097725. PubMed ID: 36778701 [TBL] [Abstract][Full Text] [Related]
15. Research on orchard navigation method based on fusion of 3D SLAM and point cloud positioning. Xia Y; Lei X; Pan J; Chen L; Zhang Z; Lyu X Front Plant Sci; 2023; 14():1207742. PubMed ID: 37434606 [TBL] [Abstract][Full Text] [Related]
16. Extracting Diameter at Breast Height with a Handheld Mobile LiDAR System in an Outdoor Environment. Zhou S; Kang F; Li W; Kan J; Zheng Y; He G Sensors (Basel); 2019 Jul; 19(14):. PubMed ID: 31330918 [TBL] [Abstract][Full Text] [Related]
18. A Comparative Analysis of UAV Photogrammetric Software Performance for Forest 3D Modeling: A Case Study Using AgiSoft Photoscan, PIX4DMapper, and DJI Terra. Jarahizadeh S; Salehi B Sensors (Basel); 2024 Jan; 24(1):. PubMed ID: 38203148 [TBL] [Abstract][Full Text] [Related]
19. Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR. Brede B; Lau A; Bartholomeus HM; Kooistra L Sensors (Basel); 2017 Oct; 17(10):. PubMed ID: 29039755 [TBL] [Abstract][Full Text] [Related]
20. Individual tree segmentation of airborne and UAV LiDAR point clouds based on the watershed and optimized connection center evolution clustering. Li Y; Xie D; Wang Y; Jin S; Zhou K; Zhang Z; Li W; Zhang W; Mu X; Yan G Ecol Evol; 2023 Jul; 13(7):e10297. PubMed ID: 37456074 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]