Research Progress on UAV Remote Sensing Monitoring of Orchard Water and Nutrient Status Under Complex Canopy Backgrounds
《北方园艺》[ISSN:1001-0009/CN:23-1247/S]
- Issue:
- 2026年15
- Page:
- 129-136
- Research Field:
- Publishing date:
Info
- Title:
- Research Progress on UAV Remote Sensing Monitoring of Orchard Water and Nutrient Status Under Complex Canopy Backgrounds
- Author(s):
- BAO Le′er1; LIU Qingyan2; LIANG Yunjiang1
- (1.College of Agriculture,Yanbian University,Yanji,Jilin 133002;2.Agricultural Technology Extension Center of Kailu Country,Kailu,Inner Mongolia 028400)
- Keywords:
- precision agriculture; UAV remote sensing; orchard water and fertilizer monitoring; multi-source data fusion; machine learning
- PACS:
- S365
- DOI:
- 10.11937/bfyy.20260276
- Abstract:
- To address the problems of mixed-pixel interference,significant shadow effects,and scale mismatch in monitoring orchard water and nutrient status under complex canopy backgrounds, recent advances in UAV remote sensing for orchard water stress diagnosis and nutrient monitoring was reviewed.Existing studies from the aspects of canopy target extraction and background removal,feature variable selection,inversion model development,multi-source data fusion,and precision management applications were summarized.The results showed that UAV remote sensing could effectively compensate for the low efficiency of ground sampling and the limited spatial resolution of satellite remote sensing,and had good potential for fine-scale orchard monitoring.Shadow correction,mixed-pixel decomposition,and pure canopy spectral extraction are important steps for improving monitoring accuracy.In addition,the integration of red-edge,thermal infrared,texture,and three-dimensional structural information helps improve the characterization of orchard water and nutrient status,while machine learning methods generally outperform traditional empirical models in dealing with complex nonlinear relationships.Future studies should further strengthen model applicability across regions and time periods,improve real-time data processing and collaborative sensing capability,and promote the coordinated application of integrated ‘satellite-UAV-ground’ monitoring and variable-rate management decision-making,in order to provide references for precision orchard water and nutrient management.
Last Update: 2026-08-14