Name
Title | ||
|---|---|---|
Potential of GPR data fusion with hyperspectral data for precision agriculture of the future |
Abstract | ||
|---|---|---|
•GPR outputs allowed characterizing the vertical soil profile surveyed.•Reflectance values were associated to clay content.•Geostatistical sensor data fusion led to a soil partitioning.•The challenge of data fusion is multidisciplinary. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.compag.2022.107109 | Computers and Electronics in Agriculture |
Keywords | DocType | Volume |
FK filter,VIS-NIR-SWIR spectroscopy,Kubelka–Munk function,Spectral measures,Geostatistics | Journal | 199 |
ISSN | Citations | PageRank |
0168-1699 | 1 | 0.37 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carmela Riefolo | 1 | 1 | 0.37 |
| Antonella Belmonte | 2 | 1 | 0.37 |
| Ruggiero Quarto | 3 | 1 | 0.37 |
| Francesco Quarto | 4 | 1 | 0.37 |
| Sergio Ruggieri | 5 | 1 | 0.37 |
| Annamaria Castrignanò | 6 | 1 | 0.37 |