Crop yield prediction method and system based on low-altitude remote sensing information from unmanned aerial vehicle
US11631166B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 28, 2020 |
| Grant date | Apr 18, 2023 |
| Priority date | — |
| Expiry date | Sep 14, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30188
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed a crop yield prediction method and system based on low-altitude remote sensing information from an unmanned aerial vehicle (UAV). Obtaining a plurality of images taken by the UAV; stitching the plurality of images to obtain a stitched image; performing spectral calibration on the stitched image to obtain the reflectivity of each pixel in the stitched image; using a threshold segmentation method to segment the stitched image, to obtain a target area for crop yield prediction; using a Pearson correlation analysis method to analyze a correlation between the reflectivity of each band and the growth status and yield of the crop to obtain feature bands; constructing yield prediction factors based on the feature bands; and determining a predicted crop yield value of the target area for crop yield prediction based on the yield prediction factors and a crop planting area of the target area for crop yield prediction.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.