Table 2.
Farmer classification accuracies from various spectra using linear SVMs.
| Fruit Type | Number of Classes | Number of Samples | Visible | NIR 1 | NIR 2 | Composite |
|---|---|---|---|---|---|---|
| (Organic/Inorganic) | (0–700 nm) | (700–1100 nm) | (1100–2000 nm) | (0–2000 nm) | ||
| Fuji Apples | 3 | 1683 | 0.962 | 0.992 | 0.981 | 0.982 |
| Gala Apples | 3 | 753 | 0.987 | 0.991 | 0.992 | 0.99 |
| Halo Oranges | 2 | 725 | 0.99 | 0.99 | 0.99 | 0.99 |
| Red Bell Peppers | 3 | 510 | 0.99 | 0.98 | 0.99 | 0.994 |
| Red Potatoes | 3 | 741 | 0.988 | 0.986 | 0.99 | 0.99 |
| Russet Potatoes | 2 | 1140 | 0.994 | 0.99 | 0.99 | 0.99 |
| Steak Tomatoes | 3 | 690 | 0.981 | 0.99 | 0.991 | 0.985 |