Geology and Wine 10: Use of Geographic Information System Technology to Assess Viticulture Performance in the Okanagan and Similkameen Valleys, British Columbia
Bibliographic record
Abstract
The complex geological history of the Okanagan and Similkameen valleys in British Columbia has created a wine growing region by way of diverse bedrock, soils, terrain and climate. Although wine grapes have been grown in the area for many decades, a recent conversion of vineyards to predominately Vitis vinifera varieties, and the subsequent world recognition of wine quality, suggests that there is further potential to improve wine quality through fine-tuning of grape varietal choices and vineyard management techniques. A geographic information system (GIS) application has been developed to study the relationships among site conditions, management practices and vineyard performance including fruit and wine quality. The production area was divided into six regions based on landform and climate: 1. Kelowna, 2. Penticton, 3. Vaseaux - Oliver, 4. Golden Mile, 5. Black Sage - Osoyoos, and 6. Similkameen. The complement of grape varieties planted varies among the regions. Comparisons of regional patterns of varieties planted, and medals received, have revealed significant regional differences in varietal suitability. Although most of the vineyards are sited on coarse-textured soils, comparisons of the distributions of all and medal-winning vineyard blocks among soil textural classes have revealed that quality wine grapes are grown on a broad range of soil types within, and among, the six regions studied. Loamy soils appear to be especially suitable for producing quality wine grapes in the Okanagan and Similkameen valleys. SUMMAIRE L'histoire geologique complexe des vallees d'Okanagan et de Similkameen en Colombie-Britannique a cree une region vinicole en reunissant divers socles rocheux, sols, terrains et climats. Bien que le raisin de cuve ait ete cultive dans la region depuis plusieurs decennies, une conversion recente aux varietes de Vitis vinifera , et la reconnaissance mondiale de la qualite de ses vins qui s'en est suivie, permet de penser que la qualite des vins pourrait encore etre ameliorer par le choix de varietes de vignes et l'amelioration des techniques de production. Une application d'un systeme d'information geographique (SIG) a ete mise au point pour etudier les relations entre les caracteristiques des sites, les pratiques de gestion, et les performances du vignoble, dont la qualite des fruits et du vin. La zone de production a ete subdivisee en six regions selon la forme du relief et le climat, soit : 1. Kelowna, 2. Penticton, 3. Vaseaux-Oliver, 4. Golden Mile, 5. Black Sage, et 6. Similkameen. Le complement des varietes de raisin plantees varie selon les regions. Les comparaisons d'arrangement des varietes plantees et des medailles recues ont mis au jour d'importantes differences regionales quant aux varietes les mieux adaptees. Bien que la plupart des vignobles croissent dans des sols legers, les comparaisons des distributions des parcelles en fonction des types de texture des sols et des medailles recues ont montre que des vignes de qualite sont cultivees sur une grande variete de types de sol a travers les six regions etudiees. Les sols loameux semblent particulierement convenir pour la production de raisin de cuve dans les vallees d'Okanagan et de Similkameen.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".