First-Line Supervisors of Agricultural Crop and Horticultural Workers

Drive or operate farm machinery, such as trucks, tractors, or self-propelled harvesters, to transport workers or supplies or to cultivate or harvest fields.

AI: Fully automatable - Autonomous and remotely operated farm machinery is commercially available and can drive/operate many tractors and harvesters for routine transport and cultivation tasks in 2025.

Estimate labor requirements for jobs and plan work schedules accordingly.

AI: Fully automatable - Forecasting tools and workforce-management systems can estimate labor needs and generate optimized schedules from historical and real-time data with minimal human intervention.

Read inventory records, customer orders, or shipping schedules to determine required activities.

AI: Fully automatable - Parsing inventory records, orders, and shipping schedules to determine required activities is routine data-processing work that can be fully automated with existing systems.

Prepare and maintain time or payroll reports, as well as details of personnel actions, such as performance evaluations, hires, promotions, or disciplinary actions.

AI: Fully automatable - Payroll, timekeeping, and personnel-record maintenance are highly automatable with existing HR and payroll software and AI-driven workflows in 2025.

Requisition or purchase supplies, such as insecticides, machine parts or lubricants, or tools.

AI: Fully automatable - Requisitioning and purchasing of routine supplies can be fully automated via inventory-triggered procurement systems, vendor integrations, and AI-driven purchasing workflows.

Issue equipment, such as farm implements, machinery, ladders, or containers to workers, and collect equipment when work is complete.

AI: Fully automatable - Inventory and asset-management systems driven by AI can fully track, assign, log, and recall equipment, and physical exchange can be automated via lockers or kiosks.

Calculate or monitor budgets for maintenance or development of collections, grounds, or infrastructure.

AI: Fully automatable - AI and software can accurately calculate, monitor, forecast, and report on budgets for maintenance and infrastructure when fed the relevant financial data.

Prepare reports regarding farm conditions, crop yields, machinery breakdowns, or labor problems.

AI: Fully automatable - AI can compile sensor, yield, and maintenance data and automatically generate reports on farm conditions, crop yields, machinery breakdowns, and labor issues.

Arrange for transportation, equipment, or living quarters for seasonal workers.

AI: Fully automatable - AI can coordinate logistics end-to-end—booking transport, arranging equipment rentals, and reserving accommodations—using existing platforms and automation.

Assign duties, such as cultivation, irrigation, or harvesting of crops or plants, product packaging or grading, or equipment maintenance.

AI: Partial - AI can optimize scheduling and recommend duty assignments, but assigning work involves interpersonal and contextual judgments that limit full automation.

Train workers in techniques such as planting, harvesting, weeding, or insect identification and in the use of safety measures.

AI: Partial - Training can be significantly augmented by AI (e‑learning, AR, tutorials), yet hands‑on coaching, on‑the‑job correction, and safety culture enforcement still require human trainers.

Confer with managers to evaluate weather or soil conditions, to develop plans or procedures, or to discuss issues such as changes in fertilizers, herbicides, or cultivating techniques.

AI: Partial - AI can analyze weather and soil data and propose plans, but deliberative conferencing, negotiation, and contextual managerial decisions are not fully automatable.

Inspect crops, fields, or plant stock to determine conditions and need for cultivating, spraying, weeding, or harvesting.

AI: Partial - Drones, sensors, and computer vision can perform much inspection and flag needs for action, but complex judgments and final decisions typically require human review.

Review employees' work to evaluate quality and quantity.

AI: Partial - AI and computer-vision/sensor analytics can measure output and flag quality issues but cannot fully replicate human judgment and contextual evaluation of employee performance as of 2025.

Observe workers to detect inefficient or unsafe work procedures or to identify problems, initiating corrective action as necessary.

AI: Partial - Video analytics and sensors can detect many unsafe or inefficient behaviors and generate alerts, but initiating nuanced corrective actions and managing worker relations still requires human supervisors.

Plan or supervise infrastructure or collection maintenance functions, such as planting, fertilizing, pest or weed control, or landscaping.

AI: Partial - AI and precision-ag systems can plan and recommend planting, fertilizing and pest control regimes, but supervising and adapting plans to complex, site-specific conditions still needs human oversight.

Direct or assist with the adjustment or repair of farm equipment or machinery.

AI: Partial - AI can provide diagnostics, instructions, and remote assistance for equipment repair, but hands-on adjustment and complex mechanical repairs generally require human technicians.

Inspect facilities to determine maintenance needs.

AI: Partial - Drones and computer vision can perform many inspections and highlight maintenance needs, yet comprehensive facility assessment and prioritization still rely on human judgment.

Monitor or oversee construction projects, such as horticultural buildings or irrigation systems.

AI: Partial - AI can monitor projects via sensors, drones, and provide oversight guidance, but cannot fully replace on-site human supervisory decisions for safety and complex coordination.

Investigate grievances and settle disputes to maintain harmony among workers.

AI: Partial - AI can assist with analysis, mediation suggestions, and draft communications but lacks the authority, nuanced empathy, and legal judgment needed to fully settle worker disputes.

Recruit, hire, or discharge workers.

AI: Partial - AI can screen candidates, draft postings and documents, and support decisions, but hiring and firing require human legal/ethical judgment and interpersonal assessment.

Perform hardscape activities, including installation or repair of irrigation systems, resurfacing or grading of paths, rockwork, or erosion control.

AI: Partial - AI can plan, model, and control some autonomous equipment for hardscape tasks, but cannot reliably perform the full range of hands-on installation and repair across varied field conditions in 2025.

Perform the same horticultural or agricultural duties as subordinates.

AI: Partial - Robotics and automation can perform some horticultural tasks in specific settings, but broadly performing the same varied manual duties as subordinates is only partially automatable as of 2025.

Contract with seasonal workers and farmers to provide employment.

AI: Partial - AI can draft contracts, match seasonal workers and farmers, and automate paperwork, but cannot fully conduct negotiations or enforce employment arrangements that require human oversight.