Wildflowers and Weeds is built around a wonderfully ambitious promise: you do not need to memorize tens of thousands of plants one at a time.
You can learn the patterns.
Thomas J. Elpel’s site teaches what he calls the Botany in a Day patterns method of plant identification. Instead of treating every species as a separate puzzle, it starts with recurring traits shared by plant families.
The Mint Family is the easy example: square stems and opposite leaves. From there the site moves through families such as mustard, pea, parsley, borage, lily, and aster.
The web as a field guide
Elpel argues that learning roughly 100 broad family patterns can give a person useful recognition skills across an enormous number of northern-latitude plants.
The site supports that method with family galleries, plant-identification articles, edible-plant material, weed profiles, ecology pages, mushroom links, and travel botany from places including New Zealand and Sweden.
The homepage says the gallery has grown to more than 1,000 online pictures.
The implementation is also a nice piece of web archaeology.
A parsley-family slideshow still references a free DHTML script from Dynamic Drive. The layout is heavy on hand-built navigation, image galleries, linked essays, and cross-links into Elpel’s larger network of wilderness, homesteading, publishing, and outdoor-skills sites.
The copyright footer reaches back to 1997.
That longevity matters because plant identification is exactly the kind of subject where old educational sites can remain useful while also needing context. Scientific names, classifications, safety guidance, and edible-plant recommendations can change or require local expertise, so the site should not be treated as the only authority for eating an unfamiliar plant.
As an educational artifact, though, it preserves a strong idea: teach recognition by structure rather than by brute-force memorization.
CacheRat’s 1,967 Ancient Web Domains research list includes specialist educational sites because a good teaching method can survive web redesign trends far longer than the CSS around it.
The page may look old.
The pattern-recognition idea is doing just fine.