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3D Data Processing to Characterize the Spatial Variability of Sugarcane Fields

  • Published:2021-09-09 Issue: Volume: Page:
  • ISSN:0972-1525
  • Container-title:Sugar Tech
  • language:en
  • Short-container-title:Sugar Tech

Author:

Canata Tatiana FernandaORCID,Martello Maurício,Maldaner Leonardo Felipe,de Souza Moreira Jadir,Molin José Paulo

Publisher

Springer Science and Business Media LLC

Subject

Agronomy and Crop Science

Reference59 articles.

1. Bareth, Georg, Juliane Bendig, Nora Tilly, Dirk Hoffmeister, Helge Aasen, and Andreas Bolten. 2016. A Comparison of UAV and TLS-derived Plant Height for Crop Monitoring: Using Polygon Grids for the Analysis of Crop Surface Models (CSMs). Photogrammetrie, Fernerkundung, Geoinformation. 2: 85–94. https://doi.org/10.1127/pfg/2016/0289.

2. Bazezew, M.N., Y.A. Hussin, and E.H. Kloosterman. 2018. Integrating airborne LiDAR and terrestrial laser scanner forest parameters for accurate above-ground biomass/carbon estimation in Ayer Hitam tropical forest, Malaysia. International Journal of Applied Earth Observation and Geoinformation 73: 638–652. https://doi.org/10.1016/j.jag.2018.07.026.

3. Bégué, Agnes, V. Lebourgeois, E. Bappel, P. Todoroff, A. Pellegrino, F. Baillarin, and B. Siegmund. 2010. Spatio-temporal variability of sugarcane fields and recommendations for yield forecast using NDVI. International Journal of Remote Sensing 31 (20): 5391–5407. https://doi.org/10.1080/01431160903349057.

4. Brocks, Sebastian, and Georg Bareth. 2018. Estimating barley biomass with crop surface models from oblique RGB imagery. Remote Sensing 10 (2): 268. https://doi.org/10.3390/rs10020268.

5. Buelvas, Roberto M., Viacheslav I. Adamchuk, Eko Leksono, Peter Tikasz, Mark Lefsrud, and Jarek Holoszkiewicz. 2019. Biomass estimation from canopy measurements for leafy vegetables based on ultrasonic and laser sensors. Computers and Electronics in Agriculture 164: 104896. https://doi.org/10.1016/j.compag.2019.104896.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sugarcane Harvester: A Bibliometric Review;Sugar Tech;2023-07-31

2. Biomass Prediction with 3D Point Clouds from LiDAR;2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2022-01
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