Name
Abstract | ||
|---|---|---|
The detection of failures (DF) in coffee crops is fundamental in evaluating product quality and the optimal occupation of planted areas. The use of unmanned aerial vehicles (UAVs) in precision agriculture has great potential as a tool to analyze critical parameters in cultivation, among them the detection of planting failures. This letter presents a novel methodology for DF from aerial images, obt... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LGRS.2018.2819944 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Agriculture,Unmanned aerial vehicles,Tools,Sensors,Image processing,Transforms,Diseases | Row,Computer vision,Mathematical morphology,Image processing,Precision agriculture,Agriculture,Operator (computer programming),Artificial intelligence,RGB color model,Mathematics | Journal |
Volume | Issue | ISSN |
15 | 7 | 1545-598X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Henrique C. Oliveira | 1 | 0 | 0.34 |
| Vitor Guizilini | 2 | 24 | 11.66 |
| Israel P. Nunes | 3 | 0 | 0.34 |
| Jefferson R. Souza | 4 | 46 | 7.19 |