Replacing traditional light measurement with LiDAR based methods in orchards
| Autor: | Kare Mahmud, James Underwood, Fred Westling, Ian Bally |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
Light detection Simulation modeling Volume (computing) Forestry Ranging 04 agricultural and veterinary sciences Horticulture 01 natural sciences Computer Science Applications Lidar Direct methods 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Interception Agronomy and Crop Science 010606 plant biology & botany Remote sensing |
| Zdroj: | Computers and Electronics in Agriculture. 179:105798 |
| ISSN: | 0168-1699 |
| DOI: | 10.1016/j.compag.2020.105798 |
| Popis: | Traditional methods of measuring light interception can be difficult, time-consuming and expensive due to the constraints involved in direct measurements. By exploiting modern Light Detection And Ranging (LiDAR) sensing and state-of-the-art simulation models, many of the results derived from light measurements can be achieved in silico, allowing a single day of fieldwork to replace weeks using more direct methods. Virtual models of existing trees allow analysis of the light environment, as well as geometric measurements like canopy volume. Further, these simulation models allow analysis of variables which cannot be measured directly. Here, we present a study of LiDAR-based methods to replace light interception using a light trolley, showing promising results with wide applicability. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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