Código O*NET-SOC
19-1013.00

Conduct research in breeding, physiology, production, yield, and management of crops and agricultural plants or trees, shrubs, and nursery stock, their growth in soils, and control of pests; or study the chemical, physical, biological, and mineralogical composition of soils as they relate to plant or crop growth. May classify and map soils and investigate effects of alternative practices on soil and crop productivity.

Los nombres de las ocupaciones y las descripciones de tareas se muestran en inglés, tal como se publicaron. Las etiquetas, incluidos los tipos de tarea, están traducidas.

Exposición a la IA

  • Fuente de datos: BLSPublicado: 2026-08

    Muy alto· relativa

    BajoCuatro bandas relativasMuy alto

    Valor por grupo ocupacional

    Escala, base y fuente

    Cuatro bandas relativas (Bajo / Moderado / Alto / Muy alto)

    831 ocupaciones detalladas de la tabla de proyecciones de empleo de BLS. El valor se asigna por código de la National Employment Matrix (NEM), de modo que las ocupaciones que comparten un código NEM reciben la misma banda

    Conjunto de datos de origen (descarga XLSX)

  • Fuente de datos: AnthropicPublicado: 2026-03

    0.051

    0.000Rango de los valores aquí recogidos0.745
    Escala, base y fuente

    Índice de exposición observada, 0–1 tal como se publica

    Mapeado sobre tareas de O*NET

    Publicado por ocupación SOC 2018; toda ocupación O*NET con el mismo código SOC 2018 recibe este valor

    Conjunto de datos de origen (descarga CSV)

  • Fuente de datos: ILOPublicado: 2025

    0.29–0.40· 2 grupos ISCO-08

    Escala, base y fuente

    Índice de exposición a la IA generativa, 0–1 tal como se publica

    Publicado por grupo primario ISCO-08. Vinculado a esta ocupación, total o parcialmente, aplicando tal como se publicaron las tablas de correspondencia de la U.S. Bureau of Labor Statistics (ISCO-08 a SOC 2010, SOC 2010 a SOC 2018)

    Conjunto de datos de origen (descarga PDF)

Qué tipo de cifra publica esta fuente

La categoría de BLS es un rango relativo, no un nivel absoluto, y tampoco es una medición de primera mano: agrupa en cuatro bandas los rangos percentiles de la ocupación en varios estudios publicados. No es una previsión de empleo ni de salarios, no es una probabilidad de adopción y no distingue entre automatización y aumento.

Valor ILO de cada grupo ISCO-08 vinculado
  • ISCO-08 2131Biologists, Botanists, Zoologists and Related Professionals0.40
  • ISCO-08 2132Farming, Forestry and Fisheries Advisers0.29

Exposición a la IA (rúbrica de OpenAI)

27 tareas evaluadas · 26 tareas con β ≥ 0,5 (96.3%)

β = exposición directa (E1) + 0,5 × exposición con herramientas disponibles (E2), según la definición del repositorio de origen.

  • Unidad de origen: tareas de O*NET 27.2 → código de ocupación de O*NET 31.0
  • Todas las tareas puntuadas figuran en la lista de tareas de O*NET 31.0.
Fuente
OpenAI "GPTs are GPTs" exposure rubric
Versión
gh-main-0471612
Licencia
MIT License, Copyright (c) 2024 OpenAI

Tareas

Descripciones de tareas de la O*NET® 31.0 Database, primero las tareas principales.

TareaTipoβ (OpenAI)
Communicate research or project results to other professionals or the public or teach related courses, seminars, or workshops.Principal0,5
Provide information or recommendations to farmers or other landowners regarding ways in which they can best use land, promote plant growth, or avoid or correct problems such as erosion.Principal0,5
Investigate responses of soils to specific management practices to determine the use capabilities of soils and the effects of alternative practices on soil productivity.Principal0,5
Develop methods of conserving or managing soil that can be applied by farmers or forestry companies.Principal0,5
Conduct experiments to develop new or improved varieties of field crops, focusing on characteristics such as yield, quality, disease resistance, nutritional value, or adaptation to specific soils or climates.Principal0,5
Investigate soil problems or poor water quality to determine sources and effects.Principal0,5
Study soil characteristics to classify soils on the basis of factors such as geographic location, landscape position, or soil properties.Principal0,5
Develop improved measurement techniques, soil conservation methods, soil sampling devices, or related technology.Principal0,5
Conduct experiments investigating how soil forms, changes, or interacts with land-based ecosystems or living organisms.Principal0,5
Identify degraded or contaminated soils and develop plans to improve their chemical, biological, or physical characteristics.Principal0,5
Perform chemical analyses of the microorganism content of soils to determine microbial reactions or chemical mineralogical relationships to plant growth.Principal0,5
Provide advice regarding the development of regulatory standards for land reclamation or soil conservation.Principal0,5
Develop new or improved methods or products for controlling or eliminating weeds, crop diseases, or insect pests.Principal0,5
Conduct research to determine best methods of planting, spraying, cultivating, harvesting, storing, processing, or transporting horticultural products.Principal0,5
Consult with engineers or other technical personnel working on construction projects about the effects of soil problems and possible solutions to these problems.Principal0,5
Develop ways of altering soils to suit different types of plants.Principal0,5
Develop environmentally safe methods or products for controlling or eliminating weeds, crop diseases, or pests.Principal0,5
Study ways to improve agricultural sustainability, such as the use of new methods of composting.Principal0,5
Conduct experiments to investigate the underlying mechanisms of plant growth and response to the environment.Principal0,5
Survey undisturbed or disturbed lands for classification, inventory, mapping, environmental impact assessments, environmental protection planning, conservation planning, or reclamation planning.Complementaria0,5
Study insect distribution or habitat and recommend methods to prevent importation or spread of injurious species.Complementaria0,5
Identify or classify species of insects or allied forms, such as mites or spiders.Complementaria0,5
Conduct experiments regarding causes of bee diseases or factors affecting yields of nectar or pollen.Complementaria0
Conduct research into the use of plant species as green fuels or in the production of green fuels.Complementaria0,5
Research technical requirements or environmental impacts of urban green spaces, such as green roof installations.Complementaria0,5
Plan or supervise waste management programs for composting or farming.Complementaria0,5
Plan or supervise land conservation or reclamation programs for industrial development projects.Complementaria0,5

Información ocupacional

Fuentes y atribución

This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.

Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.

O*NET OnLine: 19-1013.00 Soil and Plant Scientists

KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.

Atribución y licencias completas