From: HairNet2: deep learning to quantify cotton leaf hairiness, a complex genetic and environmental trait
Characteristics | CotLeaf-1 | CotLeaf-2 | CotLeaf-X |
---|---|---|---|
(this study) | (this study) | ||
Year (Y) | Y1, Y2 | Y3, Y4 | Y3 |
Environment | GH, FD | GH (Y3 only), FD | FD |
Leaf number | 3, 4 | 3 | 3 |
Location | Narrabri, Canberra | Narrabri | Narrabri |
Num. of Genotypes (G) or Populations (P) | 27 (G) | 27 (G) | 2 (P) |
Num. of Images | 13597 | 810 | 5049 (A:3276, B:1773) |
Image Loc. | First, Middle, Last | First | First, Blade |
Multiple images/leaf | Yes | No | Yes (Pop. A) No (Pop. B) |
Genotype hairiness Scale (GHS) | {’1’, ’2’, ’3’, ’3/4’, ’4’, ’4/4+’, ’4+’, ’5’, ’5+’} | {’1’, ’2’, ’3’, ’3/4’, ’4’, ’4/4+’, ’4+’, ’5’, ’5+’} | (Pop. A) {’0’, ’1’, ’2’, ’3’, ’4’, ’5’}, (Pop. B) {’2’, ’3’, ’4’, ’5’, ’5.5’} |
Score attributed by | Genotype | Genotype | Individual image |