Name
Title | ||
|---|---|---|
Image processing algorithms for infield single cotton boll counting and yield prediction. |
Abstract | ||
|---|---|---|
•A region growth method was developed to segment cotton bolls in color images.•Disjointed boll regions were merged using line feature and minimum boundary distance.•Bolls overlapping in clusters were split using area and elongation ratio features.•Fiber yield was predicted using cotton boll number. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.compag.2019.104976 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Image segmentation,Object detection,Cotton boll counting,High throughput phenotyping,Linear Hough Transform,Yield estimation | Mean absolute percentage error,F1 score,Computer vision,Crop yield,Hough transform,Mean squared error,Digital camera,Artificial intelligence,Engineering,Statistics,Digital image processing,Linear regression | Journal |
Volume | ISSN | Citations |
166 | 0168-1699 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shangpeng Sun | 1 | 6 | 0.88 |
| Changying Li | 2 | 56 | 10.72 |
| Andrew H Paterson | 3 | 27 | 4.04 |
| Peng W. Chee | 4 | 0 | 0.34 |
| Jon S. Robertson | 5 | 0 | 0.34 |