Hunt Institute for Botanical Documentation
A Research Division of Carnegie Mellon University

Hunt Institute Archives Text Discovery Platform

Search a large and growing portion of our online collections, including handwritten documents.
PROTOTYPE

This prototype uses state-of-the-art artificial intelligence, including a vision-language model (VLM) capable of reading handwritten documents as well as typed and printed text, to create searchable transcriptions of digitized materials in the Hunt Institute Archives. This makes it possible to search the textual contents of individual pages, including material that may not be described in the archival catalog.

Use Keyword search for specific words, names, dates, scientific names, or phrases. Try Semantic search (experimental) to describe a topic, question, or kind of material when you do not know the exact wording used in the documents.

About the AI-generated transcriptions

The transcriptions are generated automatically from page images and may contain errors, especially with difficult handwriting, unusual names, multiple languages, image-quality problems, or complex layouts. They are intended primarily as a discovery aid rather than authoritative transcriptions.

Each result provides the generated transcription and links to the original digitized material and associated archival description so that readings can be checked against the source. The transcription workflow uses AI models run locally by the Hunt Institute.

About Keyword and Semantic search

Keyword search is the default and matches the wording in the transcriptions. Results contain all your terms. Use quotes for an exact phrase. Substring matching is supported, so aceae can find plant-family names ending in -aceae.

Semantic search (experimental) is useful when you know what kind of material you are looking for but do not know the words used in the documents. It ranks transcribed passages by similarity of meaning, so relevant results may not contain the exact words in your query.

Semantic queries can be broad research topics, descriptions of activities or relationships, or natural-language questions. For example:

Semantic search is not a chatbot: a question is used as a search query, and the system returns archival passages that appear conceptually related to it rather than generating an answer or summary. Short descriptions and ordinary research questions generally work better than lists of disconnected keywords. Quotation marks have no special meaning in Semantic mode. Cross-language matching may work in some cases, but it should not be treated as translation.

Keyword and Semantic search are complementary. Keyword search lets you require particular wording; Semantic search can surface differently worded passages about the same subject. Depending on the research question, trying both can reveal different useful material.

Open a result: use the prominent page-and-transcription link to see the metadata, PDF, and full transcription. Keyword-search terms are highlighted in the transcription.

Archives Collections Database (ArchivesSpace): the Collection, Item/Folder, and Digital Object links open the corresponding archival records. Collection-level dates describe the collection as a whole, not necessarily the specific item or page.

If a PDF does not load: on the detail page, use the Digital Object link, click “Go to file” in ArchivesSpace, and navigate to the page number shown here.

Current limitations
  • Automated transcriptions can contain missing or incorrect text or unintended repetition. Difficult handwriting, image quality, unusual layouts, and multiple languages can reduce accuracy. Always consult the original page image when an exact reading matters.
  • Semantic search remains experimental. Its rankings are an additional discovery aid, not a complete or definitive set of relevant results, and highly ranked pages can sometimes be only broadly related.
  • This is an active prototype. Search coverage, transcriptions, functionality, and the interface may continue to change as additional archival material is processed and the system is improved.

← Back to results

Page 12 · DO #171 · 204_Popenoe_Bx10FF170r

Collection
Wilson Popenoe (1892–1975) family papers
Item/Folder
Judd, Ira B., 21 October 1968–22 May 1974
Digital Object
DO #171, page 12
Collection-level dates
1882–1975
Open PDF at page 12 ↗

Page transcription

Interview-10

Ja--What crop could be introduced in Guatemala that would accomplish alot?

Po--You be the pioneer and tell me and I will do it and make the money. It's hard to say what crop will be the most valuable in the future. I hope you make a lot of money. We can't expect that these fruit crops we're working on now will be too important because they are limited in their area, very definitely. We can't expect to export apples in any form to the rest of the world. We will probably supply Central America with apples and apple products, and we will probably supply certain areas with canned fruits--apples, pears, peaches. We're working right now on getting a peach that will look just like a Del Monte California cling peach. We've got it really now, but not commercially.

Ja--What kind of peach was it called? What's the name of it?

Po--The varieties change from 5 years to 5 years in California, but what we're working on here we have. See we can't go to California cling peaches here so we're picking out our seedlings here which are old Spanish seedlings, and we have them just as good as far as you can see and then eat, but we don't know yet which one of those seedlings were good and that's what the government's working on now and I'm trying to help, and then we will graft these varieties commercially on an orchard basis.

Ja--In what departments will these grow in mainly?

Po--Mainly in Quetzaltenango, Totonicapan, Solola, Chimaltenango, and Sacatepequez, and I forgot 'Quiche' is one of the biggest. Quiche has a lot of high land, by the way, there's a department that's got a lot of future too. Now I am a little bit enthusiastic about the future of two departments here--agriculture at Quiche and Petén. Quiche has been slow in developing because it doesn't have the nice large area of flat land. You see that Tecpán plain, that is the finest piece of land in Guatemala, I was just over there last Friday. For temperate zone agriculture, for cereals, and then you have that lovely Quetzaltenango Valley that is grand. But Quiche is mostly rough you know. The thing is we've got to learn to use those hillside lands. That's what they've done in Asia. We are going to have to terrace a lot of those lands. We're going to have to use some fertilizer. And when we do--those Indians are terracing a little already, with little contour terraces made with a hoe. Eventually, I think this idea about we're going to starve to death, I don't fall for that, because we've just got to work harder. Look what they did in Peru, those Incas around Cuzco. Look what they've done in the Philippines with terracing lands, and elsewhere in Central Asia. We are going to have to terrace these Latin American and Tropical American mountainsides. We can do it, but it's hard work. We will have to terrace them by building up stone walls, we have plenty of stones. Stone walls and terraces like they built in Peru 15 to 20 feet wide. Then maybe improving the soil on those terraces. It takes work, but we can do it. I think the future of Quiche lies in terracing, eventually terracing those mountains. Right now of course, we don't terrace them. It's a curious thing, that these volcanic soils don't erode like the clay soils do. You look at those wonderful mountainsides in Quiche and at Quetzaltenango, Totonicapan where they're planting corn and wheat. They have been planting those