Precision Agriculture Technicians

Life, Physical, and Social Science Occupations

O*NET-SOC 代码: 19-4012.01

Apply geospatial technologies, including geographic information systems (GIS) and Global Positioning System (GPS), to agricultural production or management activities, such as pest scouting, site-specific pesticide application, yield mapping, or variable-rate irrigation. May use computers to develop or analyze maps or remote sensing images to compare physical topography with data on soils, fertilizer, pests, or weather.

数据来源: BLS发布时间: 2026-08
高· 相对
低四级相对区间很高
职业群单位数值
尺度 · 母数 · 来源
四级相对类别（低 / 中等 / 高 / 很高）
以BLS就业预测表中831个细分职业为基数。取值按 NEM（全国就业矩阵）代码给定，因此共用同一 NEM 代码的职业得到相同分档
来源数据集（XLSX 文件下载）
数据来源: Anthropic发布时间: 2026-03
0.006
0.000此处所载数值的范围0.745
职业群单位数值
尺度 · 母数 · 来源
观测暴露度指数，按发布原值0–1
以O*NET任务映射为基准
按 SOC 2018 职业发布的数值；具有相同 SOC 2018 代码的所有 O*NET 职业均显示此值
来源数据集（CSV 文件下载）
数据来源: ILO发布时间: 2025
0.26
0.09此处所载数值的范围0.70
职业群单位数值
尺度 · 母数 · 来源
生成式AI暴露度指数，按发布原值0–1
按 ISCO-08 细类（4 位）发布的数值。按原样应用美国劳工统计局（BLS）的官方对照表（ISCO-08→2010 SOC、2010 SOC→2018 SOC）关联到本职业，对应关系为全部或部分对应
来源数据集（PDF 文件下载）

该来源发布的是什么性质的数值

BLS的类别是相对排位而非绝对水平，也不是一手测量：它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测，不是采用概率，也不区分自动化与增强。

Task-level exposure

仅显示有暴露的工作

已评分任务 22 项 · β ≥ 0.5 的任务 20 项（90.9%）

β = 直接暴露（E1）+ 0.5 × 借助工具时的暴露（E2），依据原始代码库的定义。

原始单位：O*NET 27.2 任务 → O*NET 31.0 职业代码
所有已评分任务均在 O*NET 31.0 任务列表中。

来源: OpenAI "GPTs are GPTs" exposure rubric
版本: gh-main-0471612
许可: MIT License, Copyright (c) 2024 OpenAI

Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.

Task (O*NET 27.2)	βE1 + 0.5 × E2
Contact equipment manufacturers for technical assistance, as needed. O*NET Task ID 18290	1.0
Document and maintain records of precision agriculture information. O*NET Task ID 18295	1.0
Program farm equipment, such as variable-rate planting equipment or pesticide sprayers, based on input from crop scouting and analysis of field condition variability. O*NET Task ID 18278	0.5
Compare crop yield maps with maps of soil test data, chemical application patterns, or other information to develop site-specific crop management plans. O*NET Task ID 18279	0.5
Collect information about soil or field attributes, yield data, or field boundaries, using field data recorders and basic geographic information systems (GIS). O*NET Task ID 18281	0.5
Identify spatial coordinates, using remote sensing and Global Positioning System (GPS) data. O*NET Task ID 18282	0.5
Divide agricultural fields into georeferenced zones, based on soil characteristics and production potentials. O*NET Task ID 18284	0.5
Identify areas in need of pesticide treatment by analyzing geospatial data to determine insect movement and damage patterns. O*NET Task ID 18287	0.5
Recommend best crop varieties or seeding rates for specific field areas, based on analysis of geospatial data. O*NET Task ID 18288	0.5
Create, layer, and analyze maps showing precision agricultural data, such as crop yields, soil characteristics, input applications, terrain, drainage patterns, or field management history. O*NET Task ID 18289	0.5
Analyze remote sensing imagery to identify relationships between soil quality, crop canopy densities, light reflectance, and weather history. O*NET Task ID 18293	0.5
Draw or read maps, such as soil, contour, or plat maps. O*NET Task ID 18296	0.5
Advise farmers on upgrading Global Positioning System (GPS) equipment to take advantage of newly installed advanced satellite technology. O*NET Task ID 19800	0.5
Apply precision agriculture information to specifically reduce the negative environmental impacts of farming practices. O*NET Task ID 19801	0.5
Participate in efforts to advance precision agriculture technology, such as developing advanced weed identification or automated spot spraying systems. O*NET Task ID 19802	0.5
Provide advice on the development or application of better boom-spray technology to limit the overapplication of chemicals and to reduce the migration of chemicals beyond the fields being treated. O*NET Task ID 19803	0.5
Use geospatial technology to develop soil sampling grids or identify sampling sites for testing characteristics such as nitrogen, phosphorus, or potassium content, pH, or micronutrients. O*NET Task ID 20872	0.5
Analyze data from harvester monitors to develop yield maps. O*NET Task ID 20874	0.5
Analyze geospatial data to determine agricultural implications of factors such as soil quality, terrain, field productivity, fertilizers, or weather conditions. O*NET Task ID 20875	0.5
Prepare reports in graphical or tabular form, summarizing field productivity or profitability. O*NET Task ID 20876	0.5
再显示 10 项工作 ▾收起 ▴
Install, calibrate, or maintain sensors, mechanical controls, GPS-based vehicle guidance systems, or computer settings. O*NET Task ID 18280	0.0
Demonstrate the applications of geospatial technology, such as Global Positioning System (GPS), geographic information systems (GIS), automatic tractor guidance systems, variable rate chemical input applicators, surveying equipment, or computer mapping software. O*NET Task ID 20873	0.0

β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.

Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page

O*NET 31.0 全部任务（22 项）

本职业在 O*NET 31.0 中的全部任务（英文原文；任务类型为核心或补充）。暴露值不列在此清单中，而在上方表格里，位于各来源所用 O*NET 版本的任务表述旁。

任务（O*NET 31.0）	类型
Program farm equipment, such as variable-rate planting equipment or pesticide sprayers, based on input from crop scouting and analysis of field condition variability.	核心
Compare crop yield maps with maps of soil test data, chemical application patterns, or other information to develop site-specific crop management plans.	核心
Install, calibrate, or maintain sensors, mechanical controls, GPS-based vehicle guidance systems, or computer settings.	核心
Collect information about soil or field attributes, yield data, or field boundaries, using field data recorders and basic geographic information systems (GIS).	核心
Identify spatial coordinates, using remote sensing and Global Positioning System (GPS) data.	核心
Divide agricultural fields into georeferenced zones, based on soil characteristics and production potentials.	核心
Identify areas in need of pesticide treatment by analyzing geospatial data to determine insect movement and damage patterns.	核心
Recommend best crop varieties or seeding rates for specific field areas, based on analysis of geospatial data.	核心
Create, layer, and analyze maps showing precision agricultural data, such as crop yields, soil characteristics, input applications, terrain, drainage patterns, or field management history.	核心
Contact equipment manufacturers for technical assistance, as needed.	核心
Analyze remote sensing imagery to identify relationships between soil quality, crop canopy densities, light reflectance, and weather history.	核心
Document and maintain records of precision agriculture information.	核心
Draw or read maps, such as soil, contour, or plat maps.	核心
Advise farmers on upgrading Global Positioning System (GPS) equipment to take advantage of newly installed advanced satellite technology.	核心
Apply precision agriculture information to specifically reduce the negative environmental impacts of farming practices.	核心
Participate in efforts to advance precision agriculture technology, such as developing advanced weed identification or automated spot spraying systems.	核心
Provide advice on the development or application of better boom-spray technology to limit the overapplication of chemicals and to reduce the migration of chemicals beyond the fields being treated.	核心
Use geospatial technology to develop soil sampling grids or identify sampling sites for testing characteristics such as nitrogen, phosphorus, or potassium content, pH, or micronutrients.	核心
Demonstrate the applications of geospatial technology, such as Global Positioning System (GPS), geographic information systems (GIS), automatic tractor guidance systems, variable rate chemical input applicators, surveying equipment, or computer mapping software.	核心
Analyze data from harvester monitors to develop yield maps.	核心
Analyze geospatial data to determine agricultural implications of factors such as soil quality, terrain, field productivity, fertilizers, or weather conditions.	核心
Prepare reports in graphical or tabular form, summarizing field productivity or profitability.	核心

Anthropic「What work can robots do?」2026-09

0.35/ 3· 机器人暴露指数

0 不可3 非结构化环境

尺度 · 母数 · 来源

对每项体力任务，按已实际部署、销售或演示的机器人能够完成它的环境评定 0–3 级（0 不可 · 1 围栏式机器单元、灌装线等机器人专用设施 · 2 医院药房、集装箱港口等受管理的设施 · 3 私人住宅、建筑工地等非结构化环境），再按工作时间占比求平均

以该职业 O*NET 29.3 任务中的体力任务为准

等级与时间占比由 Anthropic 使用 Claude Opus 5（网络搜索）估算（截至 2026 年）。

来源数据集

机器人暴露指数与本站的 AI 暴露度是不同的指标，不能相加或相互比较。该指数不代表实际采用情况或成本竞争力，0 也包括没有体力任务的职业。

每项体力任务的等级

机器人环境等级（E0–E3）

E0 机器人不可详情
评定为已实际部署、销售或演示的机器人即使在机器人专用设施中也无法完成
E1 机器人专用设施详情
评定为可在围绕机器搭建的设施中完成，例如围栏式机器单元或灌装线
E2 受管理的设施详情
评定为可在由机构按工作标准维护的人类工作设施中完成，例如医院药房或集装箱港口
E3 非结构化环境详情
评定为可在没有机构按工作标准维护的环境中完成，例如私人住宅或建筑工地

仅列出被归类为体力任务的任务；其他任务在来源中没有等级。

任务（O*NET 29.3）	机器人环境等级
Install, calibrate, or maintain sensors, mechanical controls, GPS-based vehicle guidance systems, or computer settings.	E0 机器人不可
Collect information about soil or field attributes, yield data, or field boundaries, using field data recorders and basic geographic information systems (GIS).	E3 非结构化环境
Participate in efforts to advance precision agriculture technology, such as developing advanced weed identification or automated spot spraying systems.	E3 非结构化环境
Demonstrate the applications of geospatial technology, such as Global Positioning System (GPS), geographic information systems (GIS), automatic tractor guidance systems, variable rate chemical input applicators, surveying equipment, or computer mapping software.	E0 机器人不可

就业展望（BLS）

这些数值属于整个 SOC 19-4012 组（Agricultural technicians），并非仅属于该 O*NET 职业。

就业人数，2025: 20K
预计就业人数，2035: 21K
变化 (2025–35): +5.4%
年薪中位数，2025: $49,630
入职通常所需学历: Associate's degree

最低 $30,890BLS EP 2025–35 中 825 个细分职业的工资中位数范围最高 $559,030

来源: U.S. Bureau of Labor Statistics, Employment Projections 2025–35 — Employment by detailed occupation, 2025 and projected 2035

韩国职业分类关联（KSCO）

来自 AI Changing Work 制作的 Korea Occupation Direct Crosswalk v1.1 当前版本的关联。关系值从 O*NET-SOC 职业一侧解读。

KSCO 代码	KSCO 名称	关系	状态
21321	농업 시험원	相关，但不对应	已确认

关系与状态的定义(kr-direct v1.1)

国际劳工组织（ILO）职业说明

以下 ISCO-08 职业组由 AI Changing Work 原样套用美国劳工统计局（BLS）发布的对照表（2018 SOC→2010 SOC、2010 SOC→ISCO-08）、不逐案取舍，与本职业相关联；每项关联可能是完全对应，也可能是部分对应。

ISCO-08 3142Agricultural Technicians
农业技术员

自行翻译

自行翻译 · 非 ISCO 官方词汇 — 未经国际劳工组织审核。

以下定义、任务和职业示例是 ILO 对该 ISCO-08 职业组的描述，而不是对本职业的描述。

Agricultural technicians perform tests and experiments, and provide technical and scientific support to agricultural scientists, farmers and farm managers.

任务

(a) preparing materials and equipment for experiments, tests and analyses;
(b) collecting and preparing specimens such as soils, plant or animal cells, tissues or parts or animal organs for experiments, tests and analyses;
(c) assisting with and performing experiments, tests and analyses applying methods and techniques such as microscopy, histochemistry, chromatography, electrophoresis and spectroscopy;
(d) identifying pathogenic micro-organisms and insects, parasites, fungi and weeds harmful to crops and livestock, and assisting in devising methods of control;
(e) analysing produce to set and maintain standards of quality;
(f) conducting or supervising operational programmes such as fish hatchery, greenhouse and livestock production programmes;
(g) analysing samples of seeds for quality, purity and germination rating;
(h) collecting data and estimating quantities and costs of materials and labour required for projects;
(i) organizing maintenance and repairs of research equipment.

职业示例

Dairy Technician · Field Crop Technician · Herd Tester · Horticultural Technician · Poultry Technician

Sources: ILO ISCO-08 — details: Credits

ESCO 职业词汇

以下每一项都是在已公开的ESCO-O*NET Crosswalk（第 1 版，2022 年）中与本职业逐项对应的。对应类型出自该对照表；表述出自 AI Changing Work。

agricultural engineerESCO 2144.1.2有重叠，但不相同
Agricultural engineers intervene in a variety of matters within the agriculture field in combination with engineering concepts. They design and develop machinery and equipment for an efficient and sustainable exploitation of the land. They advise on the use of resources in agricultural sites comprising the usage of water and soil, harvesting methods, and waste management.
agricultural scientistESCO 2132.1有重叠，但不相同
Agricultural scientists research and study soil, animals and plants with the objective of improving agricultural processes, the quality of agricultural products or the impact of agricultural processes on the environment. They plan and implement projects such as development projects on behalf of clients or institutions.

来源: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)

许可: CC BY 4.0 (EU Reuse Notice)

查看原文

ESCO reuse terms and the modification notice are in Credits.

法国职业分类关联（ROME）

本职业与 ROME 4.0 职业条目（fiche）之间的关联，由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。标为「暂定」的关联仅凭同一模型系列（Claude）两位判定者的判定采纳，或对其判定适用运营方规则后采纳，因此其依据弱于已确认的关联。

ROME 代码	ROME 名称（法语）	关系
A1301	Technicien / Technicienne en agriculture	相关，但不对应
A1304	Conseiller / Conseillère technique agricole	相关，但不对应
M1895	Géomaticien / Géomaticienne	相关，但不对应

Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.

ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.

(AI Changing Work link release: fr-direct v1)

西班牙职业分类关联（CNO-11）

本职业与 CNO-11 职业之间的关联，由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。

CNO-11 代码	CNO-11 名称（西班牙语）	关系
2424	Ingenieros técnicos agrícolas	相关，但不对应
3142	Técnicos agropecuarios	相关，但不对应

Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.

(AI Changing Work link release: es-direct v1)

德国职业分类关联（KldB）

本职业与 KldB 职业之间的关联，由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。

KldB 代码	KldB 名称（德语）	关系
11113	Berufe in der Landtechnik - komplexe Spezialistentätigkeiten	相关，但不对应
11183	Berufe in der Landwirtschaft (sonstige spezifische Tätigkeitsangabe) - komplexe Spezialistentätigkeiten	相关，但不对应暂定

Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.

(AI Changing Work link release: de-direct v1)

日本职业分类关联（JSCO）

本职业与 JSCO 职业之间的关联，由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。

JSCO 代码	JSCO 名称（日语）	关系
061	農林水産技術者	本职业范围更窄

Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.

(AI Changing Work link release: jp-direct v1)

本页数据的来源与许可，以及 AI Changing Work 的修改与翻译说明：致谢与来源