386 results on '"Luo, Youqing"'
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2. Detection of pine wood nematode infestation using hyperspectral drone images
3. Invasion of Red Turpentine Beetles led to the increase of native trunk-boring beetles in Chinese pine stands
4. Chromosomal-level genome assembly of Hylurgus ligniperda: insights into host adaptation and environmental tolerance
5. Effects of Fusarium solani on the Growth and Development of Anoplophora glabripennis Larvae
6. Chromosome-level genome assembly of Monochamus saltuarius reveals its adaptation and interaction mechanism with pine wood nematode
7. Resource Sharing between the Invasive Sirex noctilio and Native Woodborers and Beetles in Pinus Plantations.
8. Functional and Compositional Changes in Sirex noctilio Gut Microbiome in Different Habitats: Unraveling the Complexity of Invasive Adaptation
9. Enhanced Emerald Ash Borer Detection Via Time-Series Satellite Images: Integrating Host Phenology and Pest Life History
10. A machine learning algorithm to detect pine wilt disease using UAV-based hyperspectral imagery and LiDAR data at the tree level
11. Composition and Diversity of the Endobacteria and Ectobacteria of the Invasive Bark Beetle Hylurgus ligniperda (Fabricius) (Curculionidae: Scolytinae) in Newly Colonized Areas
12. Opportunities to improve China’s biodiversity protection laws
13. Physiological Measurements and Transcriptomics Reveal the Fitness Costs of Monochamus saltuarius to Bursaphelenchus xylophilus.
14. Identification of Pine Wilt Disease-Infested Stands Based on Single- and Multi-Temporal Medium-Resolution Satellite Data.
15. Early detection of pine wilt disease in Pinus tabuliformis in North China using a field portable spectrometer and UAV-based hyperspectral imagery
16. Combining WV-2 images and tree physiological factors to detect damage stages of Populus gansuensis by Asian longhorned beetle (Anoplophora glabripennis) at the tree level
17. Mongolian pine forest decline by the combinatory effect of European woodwasp and plant pathogenic fungi
18. Detection of Tree Species in Beijing Plain Afforestation Project Using Satellite Sensors and Machine Learning Algorithms
19. Predicting the current and future distribution of Monochamus carolinensis (Coleoptera: Cerambycidae) based on the maximum entropy model
20. Composition and Diversity of the Endobacteria and Ectobacteria of the Invasive Bark Beetle Hylurgus ligniperda (Fabricius) (Curculionidae: Scolytinae) in Newly Colonized Areas.
21. Current and future control of the wood‐boring pest Anoplophora glabripennis.
22. Spatiotemporal trends and driving factors of pine wilt disease in China
23. The interpretability of the activity signal detection model for wood‐boring pests Semanotus bifasciatus in the larval stage
24. Sex Attractant Blend for Dioryctria mongolicella (Lepidoptera: Pyralidae) in the Northeast of China
25. The association between stand and landscape level factors and red turpentine beetle damage in different infestation stages
26. Patterns of biomass, carbon, and nitrogen storage distribution dynamics after the invasion of pine forests by Bursaphelenchus xylophilus (Nematoda: Aphelenchoididae) in the three Gorges Reservoir Region
27. Factors Affecting the Flight Capacity of Two Woodwasp Species, Sirex noctilio F. (Hymenoptera: Siricidae) and Sirex nitobei M. (Hymenoptera: Siricidae)
28. Identification and expression profile analysis of chemosensory genes in pine needle gall midge, Thecodiplosis japonensis (Diptera: Cecidomyiidae)
29. Impact of stand‐ and landscape‐level variables on pine wilt disease‐caused tree mortality in pine forests
30. Early Monitoring of Forest Wood-Boring Pests with Remote Sensing
31. Pine Wilt Disease in Northeast and Northwest China: A Comprehensive Risk Review
32. Detection of the Monitoring Window for Pine Wilt Disease Using Multi-Temporal UAV-Based Multispectral Imagery and Machine Learning Algorithms
33. Early Detection of Dendroctonus valens Infestation at Tree Level with a Hyperspectral UAV Image
34. Innate immunity can distinguish beneficial from pathogenic rhizosphere microbiota
35. Effects of endophytic fungi diversity in different coniferous species on the colonization of Sirex noctilio (Hymenoptera: Siricidae)
36. A Detection Method for Individual Infected Pine Trees with Pine Wilt Disease Based on Deep Learning
37. Early detection of pine wilt disease tree candidates using time-series of spectral signatures
38. Infestation patterns of incipient red turpentine beetle populations in fire-affected, logged and undisturbed forest stands of northern China
39. The influence of geographic population, age, and mating status on the flight activity of the Asian gypsy moth Lymantria dispar (Lepidoptera: Erebidae) in China
40. Impact of Arceuthobium sichuanense infection on needles and current-year shoots of Picea crassifolia and Picea purpurea in Qinghai Province, China
41. Acoustic detection of the wood borer, Semanotus bifasciatus, as an early monitoring technology
42. A Waveform Mapping-Based Approach for Enhancement of Trunk Borers’ Vibration Signals Using Deep Learning Model
43. A LAMP Assay for the Detection of Thecodiplosis japonensis, an Alien Gall Midge Species Pest of Pine Trees
44. Spatiotemporal trends in pine wilt disease in China and the impact of climatic factors
45. Climate Drivers of Pine Shoot Beetle Outbreak Dynamics in Southwest China
46. An Improved Convolutional Neural Network for Plant Disease Detection Using Unmanned Aerial Vehicle Images
47. Enhancement of Boring Vibrations Based on Cascaded Dual-Domain Features Extraction for Insect Pest Agrilus planipennis Monitoring.
48. Identification and Validation of Reference Genes for Gene Expression Analysis in Monochamus saltuarius Under Bursaphelenchus xylophilus Treatment
49. Acoustic Denoising Using Artificial Intelligence for Wood-Boring Pests Semanotus bifasciatus Larvae Early Monitoring
50. Fusion of UAV Hyperspectral Imaging and LiDAR for the Early Detection of EAB Stress in Ash and a New EAB Detection Index—NDVI(776,678)
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