317 results on '"Jin, Xiuliang"'
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2. Comprehensive analysis of hyperspectral features for monitoring canopy maize leaf spot disease
3. Accurately estimate soybean growth stages from UAV imagery by accounting for spatial heterogeneity and climate factors across multiple environments
4. Evaluating drought stress response of poplar seedlings using a proximal sensing platform via multi-parameter phenotyping and two-stage machine learning
5. Estimation of potato yield using a semi-mechanistic model developed by proximal remote sensing and environmental variables
6. Transferability of models for predicting potato plant nitrogen content from remote sensing data and environmental variables across years and regions
7. A model suitable for estimating above-ground biomass of potatoes at different regional levels
8. Estimating soil moisture content in citrus orchards using multi-temporal sentinel-1A data-based LSTM and PSO-LSTM models
9. Enhancing precision of root-zone soil moisture content prediction in a kiwifruit orchard using UAV multi-spectral image features and ensemble learning
10. A novel framework to assess apple leaf nitrogen content: Fusion of hyperspectral reflectance and phenology information through deep learning
11. Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data
12. Optimization of multi-dimensional indices for kiwifruit orchard soil moisture content estimation using UAV and ground multi-sensors
13. Remote sensing of quality traits in cereal and arable production systems: A review
14. Research on variety identification of common bean seeds based on hyperspectral and deep learning
15. Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: a comparison with traditional machine learning algorithms
16. Estimating leaf age of maize seedlings using UAV-based RGB and multispectral images
17. Improved potato AGB estimates based on UAV RGB and hyperspectral images
18. Estimating potato above-ground biomass by using integrated unmanned aerial system-based optical, structural, and textural canopy measurements
19. Evaluation of UAV-based drought indices for crop water conditions monitoring: A case study of summer maize
20. Using an optimized texture index to monitor the nitrogen content of potato plants over multiple growth stages
21. Quantifying effect of maize tassels on LAI estimation based on multispectral imagery and machine learning methods
22. UAV multispectral images for accurate estimation of the maize LAI considering the effect of soil background
23. A fast and robust method for plant count in sunflower and maize at different seedling stages using high-resolution UAV RGB imagery
24. Estimating maize seedling number with UAV RGB images and advanced image processing methods
25. High-throughput phenotyping of plant leaf morphological, physiological, and biochemical traits on multiple scales using optical sensing
26. Classification of field wheat varieties based on a lightweight G-PPW-VGG11 model
27. Maize tassel area dynamic monitoring based on near-ground and UAV RGB images by U-Net model
28. Hyperspectral approaches for rapid and spatial plant disease monitoring
29. Comparison and transferability of thermal, temporal and phenological-based in-season predictions of above-ground biomass in wheat crops from proximal crop reflectance data
30. Quantifying effect of tassels on near-ground maize canopy RGB images using deep learning segmentation algorithm
31. High-resolution crop yield and water productivity dataset generated using random forest and remote sensing
32. Estimation of plant height and yield based on UAV imagery in faba bean (Vicia faba L.)
33. Up-scaling the latent heat flux from instantaneous to daily-scale: A comparison of three methods
34. Integration of Unmanned Aerial Vehicle Spectral and Textural Features for Accurate Above-Ground Biomass Estimation in Cotton.
35. Recent Water Constraints Mediate the Dominance of Climate and Atmospheric CO2 on Vegetation Growth Across China.
36. Comprehensive Analysis of Hyperspectral Features for Monitoring Canopy Maize Leaf Spot Disease
37. Remote sensing of quality traits in cereal and arable production systems: A review
38. Phenotyping flag leaf nitrogen content in rice using a three-band spectral index
39. Ear density estimation from high resolution RGB imagery using deep learning technique
40. Estimating genetic parameters of DSSAT-CERES model with the GLUE method for winter wheat (Triticum aestivum L.) production
41. A novel method for maize leaf disease classification using the RGB-D post-segmentation image data
42. A review of remote sensing estimation of crop water productivity: definition, methodology, scale, and evaluation
43. A simple terrain relief index for tuning slope-related parameters of LiDAR ground filtering algorithms
44. Estimates of rice lodging using indices derived from UAV visible and thermal infrared images
45. Simulation of Winter Wheat Phenology in Beijing Area with DSSAT-CERES Model
46. Comparison of different satellite bands and vegetation indices for estimation of soil organic matter based on simulated spectral configuration
47. Estimates of plant density of wheat crops at emergence from very low altitude UAV imagery
48. Mapping species of submerged aquatic vegetation with multi-seasonal satellite images and considering life history information
49. Winter wheat yield estimation based on multi-source medium resolution optical and radar imaging data and the AquaCrop model using the particle swarm optimization algorithm
50. Structural parameters for X-ray micro-computed tomography (μCT) and their relationship with the breakage rate of maize varieties
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