38 results on '"Yue, Jibo"'
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2. An automated, high-performance approach for detecting and characterizing broccoli based on UAV remote-sensing and transformers: A case study from Haining, China
3. GVC-YOLO: A Lightweight Real-Time Detection Method for Cotton Aphid-Damaged Leaves Based on Edge Computing.
4. Winter Wheat Maturity Prediction via Sentinel-2 MSI Images.
5. Classification of Maize Growth Stages Based on Phenotypic Traits and UAV Remote Sensing.
6. Vegetation-shadow indices based on differences in effect of atmospheric-path radiation between optical bands
7. Estimation of Peanut Southern Blight Severity in Hyperspectral Data Using the Synthetic Minority Oversampling Technique and Fractional-Order Differentiation
8. Development and Evaluation of a New Spectral Index to Detect Peanut Southern Blight Disease Using Canopy Hyperspectral Reflectance
9. Estimating fractional cover of crop, crop residue, and soil in cropland using broadband remote sensing data and machine learning
10. Novel Applications of Optical Sensors and Machine Learning in Agricultural Monitoring
11. Mapping Soybean Maturity and Biochemical Traits Using UAV-Based Hyperspectral Images
12. Method for accurate multi-growth-stage estimation of fractional vegetation cover using unmanned aerial vehicle remote sensing
13. Pretrained Deep Learning Networks and Multispectral Imagery Enhance Maize LCC, FVC, and Maturity Estimation.
14. A robust spectral angle index for remotely assessing soybean canopy chlorophyll content in different growing stages
15. UAV-Based Remote Sensing for Soybean FVC, LCC, and Maturity Monitoring
16. Comparison of Different Dimensional Spectral Indices for Estimating Nitrogen Content of Potato Plants over Multiple Growth Periods
17. Monitoring of Soybean Maturity Using UAV Remote Sensing and Deep Learning
18. Estimation of Potato Above-Ground Biomass Using UAV-Based Hyperspectral images and Machine-Learning Regression
19. Estimation of Potato Above-Ground Biomass Based on Vegetation Indices and Green-Edge Parameters Obtained from UAVs
20. Estimation of the nitrogen content of potato plants based on morphological parameters and visible light vegetation indices
21. Estimation of Aboveground Biomass of Potatoes Based on Characteristic Variables Extracted from UAV Hyperspectral Imagery
22. Estimation of potato above-ground biomass based on unmanned aerial vehicle red-green-blue images with different texture features and crop height
23. Monitoring of Soybean Maturity Using UAV Remote Sensing and Deep Learning.
24. How Spatial Resolution Affects Forest Phenology and Tree-Species Classification Based on Satellite and Up-Scaled Time-Series Images
25. A Novel Greenhouse-Based System for the Detection and Plumpness Assessment of Strawberry Using an Improved Deep Learning Technique
26. Tree Species (Genera) Identification with GF-1 Time-Series in A Forested Landscape, Northeast China
27. A Monitoring System for the Segmentation and Grading of Broccoli Head Based on Deep Learning and Neural Networks
28. Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data
29. Automated Counting of Rice Panicle by Applying Deep Learning Model to Images from Unmanned Aerial Vehicle Platform
30. Estimating Maize-Leaf Coverage in Field Conditions by Applying a Machine Learning Algorithm to UAV Remote Sensing Images
31. Using Hyperspectral Crop Residue Angle Index to Estimate Maize and Winter-Wheat Residue Cover: A Laboratory Study
32. A Comparison of Crop Parameters Estimation Using Images from UAV-Mounted Snapshot Hyperspectral Sensor and High-Definition Digital Camera
33. Wheat Ears Counting in Field Conditions Based on Multi-Feature Optimization and TWSVM
34. A Comparison of Regression Techniques for Estimation of Above-Ground Winter Wheat Biomass Using Near-Surface Spectroscopy
35. Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models
36. Monitor key parameters of winter wheat using Crop model
37. COMPARING BROAD-BAND AND RED EDGE-BASED SPECTRAL VEGETATION INDICES TO ESTIMATE NITROGEN CONCENTRATION OF CROPS USING CASI DATA
38. Monitor key parameters of winter wheat using Crop model.
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