Farm worker (crops, nursery, greenhouse). Farmworkers and Laborers, Crop, Nursery, and Greenhouse
職業コード: 45-2092（SOC） 技能移住対象外 総合 5/10
Engage in manual planting, cultivating, and harvesting of vegetables, fruits, nuts, horticultural crops, and field crops using tools such as shovels and shears, including fertilizing, transplanting, weeding, pruning, spraying pesticides, sorting, packing, and loading.
評価 · 総合 5/10i
In the AI era: what happens to Farm worker (crops, nursery, greenhouse).
Farm workers (crops, nurseries, greenhouses) face very high automation replacement risk: repetitive physical tasks (e.g., weeding, picking, sorting) are rapidly covered by agricultural robots and AI vision systems; entry-level positions are shrinking significantly, leaving only irregular or high-precision manual operations
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Replaces transplanting, cultivating, and harvesting of vegetables and nursery crops in greenhouses, including manual seeding, moving pots, and sorting and packaging mature crops.
↗ データソース -
Replacing manual strawberry picking in strawberry farms, including identifying ripe fruit, careful picking, placing into collection bins, and field transport. Currently mainly applied in large strawberry farms.
↗ データソース -
Replaces manual herbicide spraying and weeding by farm workers, especially precise identification and selective spraying in row crops like cotton and soybeans, improving efficiency.
↗ データソース -
Replaces weeding between crops and soil sample collection. Robots navigate autonomously, using physical tools or small lasers to reduce manual bending and repetitive labor
↗ データソース -
Replaces manual harvesting of greenhouse tomatoes, including detecting ripe fruit, grasping and cutting stems, and placing in collection boxes. Suitable for large-scale greenhouse cultivation.
↗ データソース -
Replaces manual weeding in fields, including using hoes or hand-pulling weeds. Robots precisely target weeds between and within crop rows, treating tens of acres daily.
↗ データソース
- Manual weeding and thinning (replaced by AI vision-guided robots)
- Fruit and vegetable picking based on ripeness judgment (replaced by computer vision and robotic arms)
- Sorting and grading agricultural products (replaced by AI spectral analysis and automated sorting lines)
- Pesticide spraying (replaced by drones and automatic spray robots)
- Manual loading and handling (replaced by automated guided vehicles).
- AI-assisted yield prediction and planting planning (improving decision accuracy)
- Drones and sensors monitor crop health (enhancing early pest and disease identification)
- Smart irrigation and fertilization scheduling (reducing waste, improving efficiency)
- Automatic generation of farm records and compliance documents (reducing administrative burden)
- Handle unexpected issues in complex, unstructured environments (e.g., manual response to mechanical failures)
- Precision crop management (e.g., high-value grape pruning, oddly shaped fruit picking)
- Communication and collaboration with farm managers, agronomists, and other high-level professionals
- Temporary emergency tasks in extreme weather or remote locations
- Agricultural robot operation and basic maintenance.
- ドローン操縦と画像分析
- IoT and smart irrigation system management
- Agricultural Data Analysis (e.g., yield data interpretation).
- Automated equipment fault diagnosis
- Technical communication and procurement negotiations with AI vendors
Entry-level roles (e.g., manual weeding, simple harvesting) are being significantly replaced by automation and mechanization, reducing agricultural labor demand; new entrants need to master machinery operation or data annotation skills, with pure physical labor positions shrinking sharply.
It is recommended to transition from a pure manual laborer to an 'agricultural technician + equipment operator': first learn drone inspection and smart irrigation system operation, gradually master agricultural data analysis, and ultimately become a farm automation system manager or agricultural AI assistant responsible for coordinating robots, sensors, and decision systems.
給与
| 経験 | 年収 (USD) | |
|---|---|---|
| 初級（0～3年） | $28,000 ~ $32,000 | Hourly wage about $13.5-$15.4 |
| 中級（3〜5年） | $32,000 ~ $37,000 | Including overtime and seasonal income |
| Senior (5+ years/team leader) | $37,000 ~ $45,000 | Includes management responsibilities |
教育パス
| 段階 | 期間 | 費用 (USD) |
|---|---|---|
| No formal education required | 0 | $0~$0 |
資格
| 資格 | 発行機関 | |
|---|---|---|
| Pesticide Applicator License | 各州の農業部門 | 必須 |
移住
技能移住対象外. Visa pathways depend on matching the specific duties to the right petition category; refer to the latest USCIS rules and the relevant category.
向いている人
- Able to handle outdoor physical labor and seasonal work
- Not averse to repetitive work and seasonal unemployment
- Willing to accept lower pay and harsh conditions
- Prefer stable indoor office environment
- Those seeking high income or rapid career advancement
キャリア見通し
Usually start as seasonal or temporary workers, gain experience to advance to farm supervisor or manager, some move to equipment operation or agricultural technology roles. A few become independent farm operators through experience.
The employment outlook for US farm workers is generally stable but below average due to mechanization, with a projected 4% decline from 2023 to 2033. Demand persists in some sectors (e.g., greenhouses and nurseries), but competition is high and work is seasonal.
成長分野：
Manual laborSeasonal workGreenhouse farmingH-2A visa
FAQ
データソース
Salary ranges are estimates aggregated from public listings on Indeed, Glassdoor, ERI SalaryExpert and the U.S. Bureau of Labor Statistics (BLS OEWS); employment and demand outlook cite the BLS Occupational Outlook and O*NET; visa and migration details follow the latest USCIS work-visa (H-1B / O-1 / L-1) and employment-based green-card (EB-2 / EB-3, incl. DOL PERM labor certification) rules. Figures are indicative only — always refer to the latest official sources.