Name
Abstract | ||
|---|---|---|
•Identification of papaya ripening by Computer Vision System.•An automatic alternative to visual evaluation by peel color.•Results compared to physical/chemical analyses.•Seven image descriptors were compared for building a Random Forest model.•The proposed approach achieved 94.7% accuracy. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compag.2017.12.029 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Image analysis,Machine learning,Classification,Computer vision,Maturation stage | Computer vision,Normalization (statistics),Color space,Feature (computer vision),RGB color model,Digital imaging,Artificial intelligence,Engineering,Ripening,Random forest | Journal |
Volume | ISSN | Citations |
145 | 0168-1699 | 4 |
PageRank | References | Authors |
0.42 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luiz Fernando Santos Pereira | 1 | 4 | 0.42 |
| Sylvio Barbon | 2 | 46 | 10.97 |
| Nektarios A. Valous | 3 | 14 | 1.65 |
| Douglas Fernandes Barbin | 4 | 5 | 1.72 |