Name
Title | ||
|---|---|---|
Comparison of convolutional neural networks in fruit detection and counting: A comprehensive evaluation. |
Abstract | ||
|---|---|---|
•Knowing the amount of fruit to be harvested leads to better decisions in agriculture.•Convolutional neural networks (CNN) are the current trend in processing imagery.•There is still missing an insightful analysis of the usability of CNN in fruit counting in groves.•This works presents and systematically tests two CNN architectures in three different groves. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.compag.2020.105348 | Computers and Electronics in Agriculture |
Keywords | DocType | Volume |
Precision agriculture,Fruit counting,Faster R-CNN,Single shot multibox detector,Multi-object tracking | Journal | 173 |
ISSN | Citations | PageRank |
0168-1699 | 1 | 0.36 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Pablo Vasconez | 1 | 1 | 0.36 |
| J. Delpiano | 2 | 1 | 0.36 |
| Stavros G. Vougioukas | 3 | 1 | 2.39 |
| Fernando Alfredo Auat Cheein | 4 | 1 | 0.36 |