Research on visualization of cotton canopy structure and extraction of feature parameters based on dual-perspective point cloud data

References

• Al-Rawabdeh, A., F. He, and A. Habib. 2020. “Automated Feature-Based Down-Sampling Approaches for Fine Registration of Irregular Point Clouds.” Remote Sensing 12 (7): 1224. https://doi.org/10.3390/rs12071224.
   Google Scholar
• Andrew, A. M. 1979. “Another Efficient Algorithm for Convex Hulls in Two Dimensions.” Information Processing Letters 9 (5): 216–219. https://doi.org/10.1016/0020-0190(79)90072-3.
   Web of Science ®Google Scholar
• Balta, H., J. Velagic, W. Bosschaerts, G. De Cubber, and B. Siciliano. 2018. “Fast Statistical Outlier Removal Based Method for Large 3D Point Clouds of Outdoor Environments.” IFAC-Papersonline 51 (22): 348–353. https://doi.org/10.1016/j.ifacol.2018.11.566.
   Google Scholar
• Bendig, J., K. Yu, H. Aasen, A. Bolten, S. Bennertz, J. Broscheit, M. L. Gnyp, and G. Bareth. 2015. “Combining UAV-Based Plant Height from Crop Surface Models, Visible, and Near Infrared Vegetation Indices for Biomass Monitoring in Barley.” International Journal of Applied Earth Observation and Geoinformation 39:79–87. https://doi.org/10.1016/j.jag.2015.02.012.
   Web of Science ®Google Scholar
• Besl, P. J., and N. D. McKay. 1992. “Method for Registration of 3-D Shapes.” In Sensor Fusion IV: Control Paradigms and Data Structures 1611, 586-606: Spie. https://doi.org/10.1117/12.57955.
   Google Scholar
• Cai, M., C. Ren, Y. Xu, W. Dai, and X. M. Wang. 2016. “Local Climate Zone Study for Sustainable Megacities Development by Using Improved WUDAPT Methodology–A Case Study in Guangzhou.” Procedia Environmental Sciences 36:82–89. https://doi.org/10.1016/j.proenv.2016.09.017.
   Google Scholar
• Che, Y., Q. Wang, Z. Xie, L. Zhou, S. Li, F. Hui, X. Wang, B. Li, and Y. Ma. 2020. “Estimation of Maize Plant Height and Leaf Area Index Dynamics Using an Unmanned Aerial Vehicle with Oblique and Nadir Photography.” Annals of Botany 126 (4): 765–773. https://doi.org/10.1093/aob/mcaa097.
   PubMedGoogle Scholar
• Comba, L., A. Biglia, D. Ricauda Aimonino, C. Tortia, E. Mania, S. Guidoni, and P. Gay. 2020. “Leaf Area Index Evaluation in Vineyards Using 3D Point Clouds from UAV Imagery.” Precision Agriculture 21 (4): 881–896. https://doi.org/10.1007/s11119-019-09699-x.
   Google Scholar
• Cui, H., C. Wang, F. Lu, X. Liu, and J. Yuan. 2023. “Dynamic Stratified Porosity Computation from Canopy Interaction Simulation Between Airflow and Leaves.” Frontiers in Plant Science 14:1238360. https://doi.org/10.3389/fpls.2023.1238360.
   PubMedGoogle Scholar
• Dong, X., W. Y. Kim, and K. H. Lee. 2021. “Drone-Based Three-Dimensional Photogrammetry and Concave Hull by Slices Algorithm for Apple Tree Volume Mapping.” Journal of Biosystems Engineering 46 (4): 1–11. https://doi.org/10.1007/s42853-021-00120-y.
   Google Scholar
• Fan, Y., H. Feng, X. Jin, J. Yue, Y. Liu, Z. Li, Z. Feng, X. Song, and G. Yang. 2022. “Estimation of the Nitrogen Content of Potato Plants Based on Morphological Parameters and Visible Light Vegetation Indices.” Frontiers in Plant Science 13:1012070. https://doi.org/10.3389/fpls.2022.1012070.
   PubMedGoogle Scholar
• Graham, R. L. 1972. “An Efficient Algorithm for Determining the Convex Hull of a Finite Planar Set.” Information Processing Letters 1 (4): 132–133. https://api.semanticscholar.org/CorpusID:45778703.
   Google Scholar
• Habibi, L. N., T. Watanabe, T. Matsui, and T. S. Tanaka. 2021. “Machine Learning Techniques to Predict Soybean Plant Density Using UAV and Satellite-Based Remote Sensing.” Remote Sensing 13 (13): 2548. https://doi.org/10.3390/rs13132548.
   Google Scholar
• Hafeez, A., M. A. Husain, S. P. Singh, A. Chauhan, M. T. Khan, N. Kumar, A. Chauhan, and S. K. Soni. 2022. “Implementation of Drone Technology for Farm Monitoring & Pesticide Spraying: A Review.” Information Processing in Agriculture 10 (2): 192–203. https://doi.org/10.1016/j.inpa.2022.02.002.
   Google Scholar
• Hao, J., X. Li, H. Wu, K. Yang, Y. Zeng, Y. Wang, and Y. Pan. 2023. “Extraction and Analysis of Tree Canopy Height Information in High-Voltage Transmission-Line Corridors by Using Integrated Optical Remote Sensing and LiDAR.” Geodesy and Geodynamics 14 (3): 292–303. https://doi.org/10.1016/j.geog.2022.11.008.
   Google Scholar
• Jarvis, R. A. 1973. “On the Identification of the Convex Hull of a Finite Set of Points in the Plane.” Information Processing Letters 2 (1): 18–21. https://doi.org/10.1016/0020-0190(73)90020-3.
   Google Scholar
• Kong, H., L. Yi, Y. Lan, F. Kong, and X. Han. 2020. “Exploring the Operation Mode of Spraying Cotton Defoliation Agent by Plant Protection UAV.” International Journal of Precision Agricultural Aviation 1 (1): 43–48. https://doi.org/10.33440/j.ijpaa.20200301.65.
   Google Scholar
• Li, D., G. Shi, W. Kong, S. Wang, and Y. Chen. 2020. “A Leaf Segmentation and Phenotypic Feature Extraction Framework for Multi-View Stereo Plant Point Clouds.” IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing 13:2321–2336. https://doi.org/10.1109/JSTARS.2020.2989918.
   Google Scholar
• Li, D., G. Shi, J. Li, Y. Chen, S. Zhang, S. Xiang, and S. Jin. 2022. “PlantNet: A Dual-Function Point Cloud Segmentation Network for Multiple Plant Species.” Isprs Journal of Photogrammetry & Remote Sensing 184:243–263. https://doi.org/10.1016/j.isprsjprs.2022.01.007.
   Google Scholar
• Li, M., R. R. Shamshiri, M. Schirrmann, C. Weltzien, S. Shafian, and M. S. Laursen. 2022. “UAV Oblique Imagery with an Adaptive Micro-Terrain Model for Estimation of Leaf Area Index and Height of Maize Canopy from 3D Point Clouds.” Remote Sensing 14 (3): 585. https://doi.org/10.3390/rs14030585.
   Google Scholar
• Li, P., R. Wang, Y. Wang, and W. Tao. 2020. “Evaluation of the ICP Algorithm in 3D Point Cloud Registration.” Institute of Electrical and Electronics Engineers Access 8:68030–68048. https://doi.org/10.1109/ACCESS.2020.2986470.
   Google Scholar
• Li, Y., S. Si, X. Liu, L. Zou, W. Wu, X. Liu, and L. Zhang. 2023. “Three-Dimensional Reconstruction of Cotton Plant with Internal Canopy Occluded Structure Recovery.” Computers and Electronics in Agriculture 215:108370. https://doi.org/10.1016/j.compag.2023.108370.
   Google Scholar
• Liu, K., X. Dong, and B. Qiu. 2020. “Analysis of Cotton Height Spatial Variability Based on UAV-LiDAR.” International Journal of Precision Agricultural Aviation 3 (3). https://doi.org/10.33440/j.ijpaa.20200303.79.
   Google Scholar
• Liu, X., X. Liu, Y. Li, J. Yuan, L. Song, H. Li, and M. Wu. 2020. “Estimation Model of Canopy Stratification Porosity Based on Morphological Characteristics: A Case Study of Cotton.” Biosystems Engineering 193:174–186. https://doi.org/10.1016/j.biosystemseng.2020.02.018.
   Google Scholar
• Liu, X., L. Song, H. Cui, Y. Liu, X. Liu, and M. Wu. 2021. “Decoupling on Influence of Air Droplets Stress and Canopy Porosity Change on Deposition Performance in Air-Assisted Spray.” Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery 52 (8). https://doi.org/10.6041/j.issn.1000-1298.2021.08.011.
   Google Scholar
• Lu, F., B. Chi, and H. Dong. 2022. “Cotton Cultivation Technology with Chinese Characteristics Has Driven the 70-Year Development of Cotton Production in China.” Journal of Integrative Agriculture 21 (3): 597–609. https://doi.org/10.1016/S2095-3119(20)63457-8.
   Google Scholar
• Makovetskii, A., S. Voronin, V. Kober, and A. Voronin. 2020. “An Algorithm for Rough Alignment of Point Clouds in Three-Dimensional Space.” In 2020 International Conference on Information Technology and Nanotechnology (ITNT), 1–4. IEEE. https://doi.org/10.1109/ITNT49337.2020.9253338.
   Google Scholar
• Malambo, L., S. C. Popescu, S. C. Murray, E. Putman, N. A. Pugh, D. W. Horne, S. C. Murray, et al. 2018. “Multitemporal Field-Based Plant Height Estimation Using 3D Point Clouds Generated from Small Unmanned Aerial Systems High-Resolution Imagery.” International Journal of Applied Earth Observation and Geoinformation 64:31–42. https://doi.org/10.1016/j.jag.2017.08.014.
   Web of Science ®Google Scholar
• Mei, G., J. C. Tipper, and N. Xu. 2012. “An Algorithm for Finding Convex Hulls of Planar Point Sets.” In Proceedings of 2012 2nd International Conference on Computer Science and Network Technology, 888–891. IEEE. https://doi.org/10.1109/ICCSNT.2012.6526070.
   Google Scholar
• Nelson, H. J., C. E. Smith, A. Bacharis, and N. P. Papanikolopoulos. 2023. “Robust Plant Localization and Phenotyping in Dense 3d Point Clouds for Precision Agriculture.” In 2023 IEEE International Conference on Robotics and Automation (ICRA), 9615–9621. IEEE. https://doi.org/10.1109/ICRA48891.2023.10161078.
   Google Scholar
• Pan, L., L. Liu, A. G. Condon, G. M. Estavillo, R. A. Coe, G. Bull, E. A. Stone, L. Petersson, and V. Rolland. 2022. “Biomass Prediction with 3D Point Clouds from LiDAR.” In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 1330–1340. https://doi.org/10.1109/WACV51458.2022.00178.
   Google Scholar
• Pfeiffer, S. A., J. Guevara, F. A. Cheein, and R. Sanz. 2018. “Mechatronic Terrestrial LiDAR for Canopy Porosity and Crown Surface Estimation.” Computers and Electronics in Agriculture 146:104–113. https://doi.org/10.1016/j.compag.2018.01.022.
   Google Scholar
• Rejeb, A., A. Abdollahi, K. Rejeb, and H. Treiblmaier. 2022. “Drones in Agriculture: A Review and Bibliometric Analysis.” Computers and Electronics in Agriculture 198:107017. https://doi.org/10.1016/j.compag.2022.107017.
   Web of Science ®Google Scholar
• Saeed, F., S. Sun, J. Rodriguez-Sanchez, J. Snider, T. Liu, and C. Li. 2023. “Cotton Plant Part 3D Segmentation and Architectural Trait Extraction Using Point Voxel Convolutional Neural Networks.” Plant Methods 19 (1): 1–23. https://doi.org/10.1186/s13007-023-00996-1.
   PubMedGoogle Scholar
• Saeed, F., S. Sun, J. Snider, T. Liu, and C. Li. 2022. “3D Annotation and Deep Learning for Cotton Plant Part Segmentation and Architectural Trait Extraction.” https://doi.org/10.21203/rs.3.rs-2179960/v1.
   Google Scholar
• Shao, J., W. Yao, P. Wan, L. Luo, P. Wang, L. Yang, J. Lyu, and W. Zhang. 2022. “Efficient Co-Registration of UAV and Ground LiDAR Forest Point Clouds Based on Canopy Shapes.” International Journal of Applied Earth Observation and Geoinformation 114:103067. https://doi.org/10.1016/j.jag.2022.103067.
   Google Scholar
• Sun, S., C. Li, P. W. Chee, A. H. Paterson, C. Meng, J. Zhang, P. Ma, J. S. Robertson, and J. Adhikari. 2021. “High Resolution 3D Terrestrial LiDAR for Cotton Plant Main Stalk and Node Detection.” Computers and Electronics in Agriculture 187:106276. https://doi.org/10.1016/j.compag.2021.106276.
   Web of Science ®Google Scholar
• Sun, S., C. Li, and A. H. Paterson. 2017. “In-Field High-Throughput Phenotyping of Cotton Plant Height Using LiDAR.” Remote Sensing 9 (4): 377. https://doi.org/10.3390/rs9040377.
   Google Scholar
• Sun, Y., Y. Luo, Q. Zhang, L. Xu, L. Wang, and P. Zhang. 2022. “Estimation of Crop Height Distribution for Mature Rice Based on a Moving Surface and 3D Point Cloud Elevation.” Agronomy 12 (4): 836. https://doi.org/10.3390/agronomy12040836.
   Google Scholar
• Tereshchenko, V., Y. Tereshchenko, and D. Kotsur. 2015. “Point triangulation using Graham’s scan.” In Fifth International Conference on the Innovative Computing Technology (INTECH 2015), 148–151. IEEE. https://doi.org/10.1109/INTECH.2015.7173370.
   Google Scholar
• Wang, J., Y. Zhang, and R. Gu. 2020. “Research Status and Prospects on Plant Canopy Structure Measurement Using Visual Sensors Based on Three-Dimensional Reconstruction.” Agriculture 10 (10): 462. https://doi.org/10.3390/agriculture10100462.
   Google Scholar
• Wang, S., C. Liu, W. Li, S. Jia, and H. Yue. 2023. “Hybrid Model for Estimating Forest Canopy Heights Using Fused Multimodal Spaceborne LiDAR Data and Optical Imagery.” International Journal of Applied Earth Observation and Geoinformation 122:103431. https://doi.org/10.1016/j.jag.2023.103431.
   Web of Science ®Google Scholar
• Wang, W., Y. Fan, Y. Li, X. Li, and S. Tang. 2023. “An Individual Tree Segmentation Method from Mobile Mapping Point Clouds Based on Improved 3-D Morphological Analysis.” IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing 16:2777–2790. https://doi.org/10.1109/JSTARS.2023.3243283.
   Google Scholar
• Wang, X., D. Singh, S. Marla, G. Morris, and J. Poland. 2018. “Field-Based High-Throughput Phenotyping of Plant Height in Sorghum Using Different Sensing Technologies.” Plant Methods 14 (1): 1–16. https://doi.org/10.1186/s13007-018-0324-5.
   PubMed Web of Science ®Google Scholar
• Wu, J., S. Wen, Y. Lan, X. Yin, J. Zhang, and Y. Ge. 2022. “Estimation of Cotton Canopy Parameters Based on Unmanned Aerial Vehicle (UAV) Oblique Photography.” Plant Methods 18 (1): 129. https://doi.org/10.1186/s13007-022-00966-z.
   PubMedGoogle Scholar
• Xu, W., Y. Cai, D. He, J. Lin, and F. Zhang. 2022. “Fast-Lio2: Fast Direct Lidar-Inertial Odometry.” IEEE Transactions on Robotics 38 (4): 2053–2073. https://doi.org/10.1109/TRO.2022.3141876.
   Web of Science ®Google Scholar
• Xu, W., P. Chen, Y. Zhan, S. Chen, L. Zhang, and Y. Lan. 2021. “Cotton Yield Estimation Model Based on Machine Learning Using Time Series UAV Remote Sensing Data.” International Journal of Applied Earth Observation and Geoinformation 104:102511. https://doi.org/10.1016/j.jag.2021.102511.
   Google Scholar
• Yu, P., Y. Yang, A. Tian, C. Du, X. Liu, B. Pei, K. Gu, B. Pei, and Y. Guo. 2021. “An Improved ICP Point Cloud Registration Algorithm Based on Three-Points Congruent Sets.” In 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM), 407–411. IEEE. https://doi.org/10.1109/AIAM54119.2021.00088.
   Google Scholar
• Yun, Z., G. Zheng, L. M. Moskal, J. Li, and P. Gong. 2023. “Stratifying Forest Overstory and Understory Using the Global Ecosystem Dynamic Investigation Laser Scanning Data.” International Journal of Applied Earth Observation and Geoinformation 124:103538. https://doi.org/10.1016/j.jag.2023.103538.
   Google Scholar
• Zhang, F., A. Hassanzadeh, J. Kikkert, S. J. Pethybridge, and J. Aardt. 2022. “Evaluation of Leaf Area Index (LAI) of Broadacre Crops Using UAS-Based LiDAR Point Clouds and Multispectral Imagery.” IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing 15:4027–4044. https://doi.org/10.1109/JSTARS.2022.3172491.
   Google Scholar
• Zhu, J. J., T. Matsuzaki, and Y. Gonda. 2003. “Optical Stratification Porosity as a Measure of Vertical Canopy Structure in a Japanese Coastal Forest.” Forest Ecology & Management 173 (1–3): 89–104. https://doi.org/10.1016/S0378-1127(01)00813-1.
   Google Scholar
• Zhu, T., X. Ma, H. Guan, X. Wu, F. Wang, C. Yang, and Q. Jiang. 2023. “A Calculation Method of Phenotypic Traits Based on Three-Dimensional Reconstruction of Tomato Canopy.” Computers and Electronics in Agriculture 204:107515. https://doi.org/10.1016/j.compag.2022.107515.
   Google Scholar
• Zhu, Y., L. Sun, Q. Luo, H. Chen, and Y. Yang. 2023. “Spatial Optimization of Cotton Cultivation in Xinjiang: A Climate Change Perspective.” International Journal of Applied Earth Observation and Geoinformation 124:103523. https://doi.org/10.1016/j.jag.2023.103523.
   Google Scholar