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Development of a LiDAR-guided section-based tree canopy density measurement system for precision spray applications
Development of a LiDAR-guided section-based tree canopy density measurement system for precision spray applications
- Source :
- Computers and Electronics in Agriculture. 182:106053
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- An unmanned ground-based canopy density measurement system to support precision spraying in apple orchards was developed to precisely apply pesticides to orchard canopies. The automated measurement system was comprised of a light detection and ranging (LiDAR) sensor, an interface box for data transmission, and a laptop computer. A data processing and analysis algorithm was developed to measure point cloud indices from the LiDAR sensor to describe the distribution of tree canopy density within four sections according to the position of the trellis wires. Experiments were conducted in two orchard sites, one with GoldRush (larger trees) and the other one with Fuji (smaller trees) apple trees. Tree leaves were counted manually from each section separated by trellis wires. Field evaluation results showed a strong correlation of 0.95 (R2 = 89.30%) between point cloud data and number of leaves for the Fuji block and a correlation of 0.82 (R2 = 67.16%) was obtained for the GoldRush block. A strong correlation of 0.98 (R2 = 95.90%) was achieved in the relationship between canopy volume and number of leaves. Finally, a canopy density map was generated to provide a graphical view of the tree canopy density in different sections. Since accurate canopy density information was computed, it is anticipated that the developed prototype system can guide the sprayer unit for reducing excessive pesticide use in orchards.
- Subjects :
- 0106 biological sciences
Canopy
Tree canopy
Sprayer
Point cloud
Forestry
Ranging
04 agricultural and veterinary sciences
Horticulture
01 natural sciences
Computer Science Applications
Tree (data structure)
Lidar
040103 agronomy & agriculture
0401 agriculture, forestry, and fisheries
Orchard
Agronomy and Crop Science
010606 plant biology & botany
Remote sensing
Mathematics
Subjects
Details
- ISSN :
- 01681699
- Volume :
- 182
- Database :
- OpenAIRE
- Journal :
- Computers and Electronics in Agriculture
- Accession number :
- edsair.doi...........6c0fff79d2880fba7f4d16cfab3f1f96
- Full Text :
- https://doi.org/10.1016/j.compag.2021.106053