Name
Title | ||
|---|---|---|
vitisBerry: An Android-smartphone application to early evaluate the number of grapevine berries by means of image analysis. |
Abstract | ||
|---|---|---|
•The new image analysis algorithm accurately detects berries directly in the field.•The new algorithm outperforms previous developments and improves reliability.•The Android application integrates image capture, analysis and storage.•The app allows viticulturists to analyse phenotypic information in their vineyards. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compag.2018.02.021 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Plant phenotyping tool,Computer vision,Berries’ segmentation,Smart devices | Computer vision,Bottleneck,Plant phenotyping,Android (operating system),Precision and recall,Artificial intelligence,Engineering,Machine learning | Journal |
Volume | ISSN | Citations |
148 | 0168-1699 | 2 |
PageRank | References | Authors |
0.42 | 11 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arturo Aquino | 1 | 130 | 9.54 |
| Ignacio Barrio | 2 | 2 | 0.42 |
| Maria-Paz Diago | 3 | 15 | 2.63 |
| borja millan | 4 | 10 | 3.06 |
| Javier Tardaguila | 5 | 51 | 6.60 |