Add university-extension trials: Illinois VT + Iowa ICPT + Ohio OCPT (+123 cross-vendor trial docs) (#19)
Image rebuild (skip scrape) / build (push) Successful in 5m54s
Image rebuild (skip scrape) / build (push) Successful in 5m54s
Co-authored-by: claude <claude@jpaul.io> Co-committed-by: claude <claude@jpaul.io>
This commit was merged in pull request #19.
This commit is contained in:
@@ -45,7 +45,7 @@ and the `crop_seed_api_lessons` tool).
|
||||
| Beck's products | 🟡 | 860 | Same Sanity API — identity-only until SeedIQ XHR is sniffed |
|
||||
| Pioneer + Hoegemeyer + Brevant (Corteva) | 🔴 | — | DROP. Shared corteva.com ToU bans automation (scrapers + "competitive service"). Treat ALL `*.corteva.com / pioneer.com / hoegemeyer.com / therightseed.com` + Vylor brands as one excluded ToU domain |
|
||||
|
||||
Trial-only sources (cross-vendor yield plots, `data_type=trial`): `gh_plot_reports`, `lg_plot_reports`, `agrigold_plot_reports`, `proharvest_plots`, `agripro_trials`. See the README corpus table for counts.
|
||||
Trial-only sources (cross-vendor yield, `data_type=trial`): vendor plot reports `gh_plot_reports`, `lg_plot_reports`, `agrigold_plot_reports`, `proharvest_plots`, `agripro_trials`; **university-extension variety trials** `illinois_vt_trials` (IL, +wheat), `iowa_icpt_trials` (IA), `ohio_ocpt_trials` (OH) — independent third-party data that ranks the majors we can't catalog directly (Pioneer/DEKALB/Brevant) side-by-side. The university sources route through `_render_gh_plot_chunk(include_region=True)` so the region/district is in the embedded chunk. See the README corpus table for counts.
|
||||
|
||||
> **Scale-direction warning (read before any cross-vendor numeric comparison):** the independents do NOT agree on direction. Bayer + Stine(corn) + ProHarvest(disease) + Burrus = HIGHER is better (Burrus 1-10, others 1-9). **Latham + NK + AgriPro = LOWER is better (1 = best).** 1st Choice = 0-10 higher=better. Stine soy is qualitative. Always consult each record's `_scale_direction` (the chunker attaches it) before comparing numbers across brands.
|
||||
|
||||
|
||||
Reference in New Issue
Block a user