174 results on '"Yue, Jibo"'
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2. A novel vegetation-water resistant soil moisture index for remotely assessing soil surface moisture content under the low-moderate wheat cover
3. Estimation of potato yield using a semi-mechanistic model developed by proximal remote sensing and environmental variables
4. A model suitable for estimating above-ground biomass of potatoes at different regional levels
5. Analyzing winter-wheat biochemical traits using hyperspectral remote sensing and deep learning
6. Estimating potato above-ground biomass based on vegetation indices and texture features constructed from sensitive bands of UAV hyperspectral imagery
7. Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data
8. Improving potato above ground biomass estimation combining hyperspectral data and harmonic decomposition techniques
9. A fast and lightweight detection model for wheat fusarium head blight spikes in natural environments
10. Mapping cropland rice residue cover using a radiative transfer model and deep learning
11. Improved potato AGB estimates based on UAV RGB and hyperspectral images
12. Estimating potato above-ground biomass by using integrated unmanned aerial system-based optical, structural, and textural canopy measurements
13. Using an optimized texture index to monitor the nitrogen content of potato plants over multiple growth stages
14. Hyperspectral-to-image transform and CNN transfer learning enhancing soybean LCC estimation
15. VNAI-NDVI-space and polar coordinate method for assessing crop leaf chlorophyll content and fractional cover
16. Estimating vertically growing crop above-ground biomass based on UAV remote sensing
17. Mapping Maize Planting Densities Using Unmanned Aerial Vehicles, Multispectral Remote Sensing, and Deep Learning Technology
18. An automated, high-performance approach for detecting and characterizing broccoli based on UAV remote-sensing and transformers: A case study from Haining, China
19. Remote-sensing estimation of potato above-ground biomass based on spectral and spatial features extracted from high-definition digital camera images
20. GVC-YOLO: A Lightweight Real-Time Detection Method for Cotton Aphid-Damaged Leaves Based on Edge Computing.
21. Winter Wheat Maturity Prediction via Sentinel-2 MSI Images.
22. Classification of Maize Growth Stages Based on Phenotypic Traits and UAV Remote Sensing.
23. Vegetation-shadow indices based on differences in effect of atmospheric-path radiation between optical bands
24. Estimation of Peanut Southern Blight Severity in Hyperspectral Data Using the Synthetic Minority Oversampling Technique and Fractional-Order Differentiation
25. A self-adaptive parallel image stitching algorithm for unmanned aerial vehicles in edge computing environments
26. Development and Evaluation of a New Spectral Index to Detect Peanut Southern Blight Disease Using Canopy Hyperspectral Reflectance
27. Soil moisture content estimate with drying process segmentation using shortwave infrared bands
28. Recognizing black point in wheat kernels and determining its extent using multidimensional feature extraction and a naive Bayes classifier
29. Estimating fractional cover of crop, crop residue, and soil in cropland using broadband remote sensing data and machine learning
30. Using broadband crop residue angle index to estimate the fractional cover of vegetation, crop residue, and bare soil in cropland systems
31. Novel Applications of Optical Sensors and Machine Learning in Agricultural Monitoring
32. Mapping Soybean Maturity and Biochemical Traits Using UAV-Based Hyperspectral Images
33. Method for accurate multi-growth-stage estimation of fractional vegetation cover using unmanned aerial vehicle remote sensing
34. Development of soil moisture indices from differences in water absorption between shortwave-infrared bands
35. A dynamic soil endmember spectrum selection approach for soil and crop residue linear spectral unmixing analysis
36. Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices
37. Pretrained Deep Learning Networks and Multispectral Imagery Enhance Maize LCC, FVC, and Maturity Estimation.
38. A robust spectral angle index for remotely assessing soybean canopy chlorophyll content in different growing stages
39. UAV-Based Remote Sensing for Soybean FVC, LCC, and Maturity Monitoring
40. Comparison of Different Dimensional Spectral Indices for Estimating Nitrogen Content of Potato Plants over Multiple Growth Periods
41. Crop Canopy Volume Weighted by Color Parameters from Uav-Based Rgb Images to Estimate Above-Ground Biomass of Potatoes
42. Monitoring of Soybean Maturity Using UAV Remote Sensing and Deep Learning
43. Estimation of Potato Above-Ground Biomass Using UAV-Based Hyperspectral images and Machine-Learning Regression
44. Estimation of Potato Above-Ground Biomass Based on Vegetation Indices and Green-Edge Parameters Obtained from UAVs
45. Estimation of the nitrogen content of potato plants based on morphological parameters and visible light vegetation indices
46. Estimation of Aboveground Biomass of Potatoes Based on Characteristic Variables Extracted from UAV Hyperspectral Imagery
47. Estimation of potato above-ground biomass based on unmanned aerial vehicle red-green-blue images with different texture features and crop height
48. Monitoring of Soybean Maturity Using UAV Remote Sensing and Deep Learning.
49. Estimating fractional coverage of crop, crop residue, and bare soil using shortwave infrared angle index and Sentinel-2 MSI
50. How Spatial Resolution Affects Forest Phenology and Tree-Species Classification Based on Satellite and Up-Scaled Time-Series Images
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