Relative Discrimination of Planophile and Erectophile Wheat Types using Multi-temporal Spectrum Measurements
Bibliographic record
Abstract
Over-luxuriant winter wheat can always be seen when pre-winter accumulated temperature is high or too much fertilizer is applied before sowing. Over-luxuriant erectophile type wheat shows a similar canopy spectral feature to that of the planophile type. This special canopy spectral feature influences N fertilizer application decision making when using remote sensing technologies to detect N status. The objective of this study was to relatively discriminate erectophile type wheat from the planophile type and then further detect over-luxuriant canopy using seasonal changes in canopy spectral reference. Two groups of winter wheat cultivars with different canopy structures were investigated. The wheat leaf distribution feature was combined with the ratio of canopy spectral reflectance of 790 nm at elongation stage (R790e) to that at rising stage (R790r), i.e. R790e/R790r. Based on the values of both normalized R790e (NR790e) and normalized R790e/R790r (N(R790e/R790r)), a two-dimensional spectral coordinate system charactering seasonal change in canopy spectral reflectance was constructed. According to the distribution features, cultivars with N(R790e/R790r) ≥ 1 were discriminated as the planophile type in which cultivars with NR790e ≥ 1 were normal and over-luxuriant (or dense) planophile type, and those with NR790e < 1 were considered the sparse planophile type. On the contrary, cultivars with N(R790e/R790r) < 1 were grouped in the erectophile type in which cultivars with NR790e < 1 were considered normal and sparse erectophile type, and those with NR790e ≥ 1 were attributed to the over-luxuriant erectophile type. Thus, N(R790e/R790r) could be used to relatively discriminate wheat canopy structure, and NR790e to judge wheat canopy density. The larger the NR790e value, the higher the canopy density. The average discrimination accuracy of our method was 84.4%. Nevertheless, this method could provide the relative positions only within the investigated cultivars since both NR790e and N(R790e/R790r) were relative ratios to their average.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".