User flagged LG, AgriGold, and Ebbert's (local Ohio breeder) are
all active in farmer territory. Built three scrapers — corpus now
covers 5,839 chunks across 11 brands.
Net new varieties: 310
lg_seeds 170 — corn 78 + soy 63 + alfalfa 16 + sorghum 13
→ adds FIRST alfalfa coverage (FD 3-5 range)
agrigold 111 — corn 60 + soy 51
ebberts_seeds 29 — corn 17 + soy 12 (regional OH/IN breeder)
scrape/sources/lg_seeds.py — embedded-JSON pattern (cleanest):
- /products/<crop> pages have a `var products = [...]` blob with the
variety summary (Variety, Maturity, Traits[], Bullets[], CropType).
- Per-variety detail page (/products/<crop>/<Variety>) carries the
ratings as `<span class="bar-N">` where N is 1-9 on the canonical
scale. Same 9=best direction as Bayer / Golden Harvest.
- Three sections per page: Characteristics / Management / Disease
Tolerance, plus a few qualitative bars ("Tar Spot Susceptible",
"Fungicide Response High") preserved as text values.
scrape/sources/agrigold.py — 5-circle scale:
- Listing page has 60+ /corn/explore-corn-hybrids/<CODE> URLs.
- Detail page renders ratings as <div class="scale"> blocks with 5
child <div class="circle"> elements, of which N have class
"circle selected" → rating N on a 1-5 scale.
- 7 sections per page incl. Silage Characteristics (Dairy Silage
Rating, NDFd 30 Hr, Crude Protein), Planting Applications, Soil
Adaptability, Plant Characteristics, Product Features.
- Distinct rating direction (1-5 vs Bayer's 1-9) — declared in
_scale_direction so chunker preamble renders correctly.
scrape/sources/ebberts_seeds.py — small regional breeder, verbatim
text approach:
- Single page per crop (corn / soybeans / wheat). Each variety is an
<h1> + multi-section CSS-grid block where labels and values are in
separate adjacent cells. Reconstructing perfectly-aligned columns
for a 29-variety total isn't worth the engineering — chunk body
carries the verbatim text in document order, LLM can read the
tabular content.
- Scale: 1-5 (1 = best, lower = more resistant), inferred from
marketing-vs-rating cross-checks ("Robust tall plants" + STANDABILITY
1.0 → 1 = best).
- Politeness: robots.txt asks for Crawl-delay: 5; honored.
All three new scrapers smoke-tested:
- LG corn LG5701 RM 116 SmartStax → 3 characteristic groups with
Disease Tolerance ratings (Northern/Southern Leaf Blight 8-9, etc.)
- AgriGold A616-30 RM 86 VT2RIB → 7 groups incl. silage and soil
adaptability ratings
- Ebbert's 7000TR RIB RM 100 → 1098-char verbatim body covering
CHARACTERISTICS, DISEASE RATINGS, herbicide tolerance, etc.
Corpus state after this PR:
- 5,839 chunks (was 5,529)
- 11 brands (was 8)
- 8 crops (corn 3047, soy 2209, silage 359, wheat 123, sorghum 49,
cotton 30, alfalfa 16, canola 6) — alfalfa is brand-new
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
1.3 KiB
7442PC
- Vendor: Ebbert's Seeds (independent regional breeder)
- Brand: Ebbert's Seeds
- Crop: Corn
- Relative maturity: 112
- Source: https://www.ebbertsseeds.com/corn/
- Rating scale (Ebbert's): 1-5 (1 = best, lower = more resistant)
- Service area: Covington, OH + Decatur, IN — Eastern Corn Belt regional
Variety detail (verbatim from page)
7442PC 112 RM | 7442PC 112 RM | MANAGEMENT & POSITIONING | HIGH END YIELDER to position on your better soil types, great for high yield/management acres. Responds well to fungicide but has shown good Tar Spot tolerance in notes. Great companion product to 7660PC. | CHARACTERISTICS | Huge flex ear with excellent grain quality. No need to push populations with this product, keep them moderate. Good on Tar Spot, great on GLS and NCLB. Fast drydown for 112 day maturity. | CHARACTERISTICS | EMERGENCE | DRYDOWN | STANDABILITY | TEST WEIGHT | EAR TYPE | 3.0 | 2.0 | 2.0 | 2.0 | Flex | DISEASE RATINGS | HERBICIDE TOLERANCE(S) | RECOMMENDED SEEDING RATE | GDU'S TO BLACK LAYER | STALK STRENGTH | ROOT STRENGTH | STRESS TOLERANCE | GREENSNAP RISK | PLANT HEIGHT | STAYGREEN | HARVEST APPEARANCE | NORTHERN CORN LEAF BLIGHT | GRAY LEAF SPOT | TAR SPOT | GLY/GLU/ENL | 30-34 | 2750 | 2.0 | 2.0 | 2.0 | 2.0 | Medium-Tall | 2.5 | 2.0 | 1.5 | 2.0 | 3.0