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Automation Risk Analysis

Will “Agriculture Specialist” be Automated?

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AI Exposure Risk

57%

“Agriculture Specialist” will maybe be replaced by AI.

Based on the cognitive demands, communication requirements, and logical reasoning intrinsic to this occupation according to O*NET data, we project a 57% probability of disruption by generative AI and Large Language Models.

Automation & Robot Risk

47%

“Agriculture Specialist” will probably not be replaced by robots.

Evaluating the physical dexterity, repetitive motion tasks, and manual labor associated with this role, our analysis indicates a 47% likelihood of substitution by advanced robotics systems.

Personal & Financial Insights

Every occupation has a unique profile. For Precision Agriculture Technicians, the Bureau of Labor Statistics and O*NET classify the day-to-day work broadly as: 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.

Job Title & Hierarchy Code (SOC) Precision Agriculture Technicians #19-4012.01
ℹ️

Data is based on the reference occupation: “Precision Agriculture Technicians”

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Core Skills & Abilities

  • Recommend best crop varieties or seeding rates for specific field areas, based on analysis of geospatial data.

  • Program farm equipment, such as variable-rate planting equipment or pesticide sprayers, based on input from crop scouting and analysis of field condition variability.

  • Document and maintain records of precision agriculture information.

  • Create, layer, and analyze maps showing precision agricultural data, such as crop yields, soil characteristics, input applications, terrain, drainage patterns, or field management history.

  • Analyze geospatial data to determine agricultural implications of factors such as soil quality, terrain, field productivity, fertilizers, or weather conditions.

  • Draw or read maps, such as soil, contour, or plat maps.

  • Identify areas in need of pesticide treatment by analyzing geospatial data to determine insect movement and damage patterns.

  • Analyze data from harvester monitors to develop yield maps.

  • 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.

  • Install, calibrate, or maintain sensors, mechanical controls, GPS-based vehicle guidance systems, or computer settings.

  • Compare crop yield maps with maps of soil test data, chemical application patterns, or other information to develop site-specific crop management plans.

  • Prepare reports in graphical or tabular form, summarizing field productivity or profitability.

  • Analyze remote sensing imagery to identify relationships between soil quality, crop canopy densities, light reflectance, and weather history.

  • Apply precision agriculture information to specifically reduce the negative environmental impacts of farming practices.

  • Collect information about soil or field attributes, yield data, or field boundaries, using field data recorders and basic geographic information systems (GIS).

  • Contact equipment manufacturers for technical assistance, as needed.

  • Advise farmers on upgrading Global Positioning System (GPS) equipment to take advantage of newly installed advanced satellite technology.

  • 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.

  • Identify spatial coordinates, using remote sensing and Global Positioning System (GPS) data.

  • Divide agricultural fields into georeferenced zones, based on soil characteristics and production potentials.

  • 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.

  • Participate in efforts to advance precision agriculture technology, such as developing advanced weed identification or automated spot spraying systems.

Technologies & Software

  • ESRI ArcView
  • Nova (Amazon)
  • Microsoft Windows
  • Claude (Anthropic)
  • Microsoft Office software
  • Web browser software
  • Microsoft Excel
  • Mistral AI (chat/models)
  • Llama (Meta)
  • Global positioning system GPS software
  • Geographic information system GIS systems
  • ChatGPT (OpenAI)
  • Microsoft Access
  • SST Development Group SSToolbox
  • Microsoft Outlook
  • Microsoft PowerPoint
  • Qwen (Alibaba)
  • Kimi (Moonshot AI)
  • John Deere Apex Farm Management
  • Trimble AgGPS MultiPlane
  • Elicit
  • Farm Works Site Pro
  • Semantic Scholar AI
  • GeoAgro GIS
  • Scite AI
  • Grok (xAI)
  • Trimble AgGPS EZ-Map
  • NotebookLM (Google)
  • Ag Leader Technology SMS Advanced
  • MapShots EASi Suite
  • Mistral (Mistral AI)
  • Gemini for Workspace
  • Perplexity AI
  • Novariant AutoFarm AF Viewer
  • ESRI ArcPad
  • Microsoft Word
  • Gemini (Google)
  • DeepSeek
  • Consensus
  • ESRI ArcGIS software
  • AGCO GTA Software Suite
  • Sprayer application equipment
  • Personal computers
  • Autosteering systems
  • Desktop computers
  • Automatic land leveling systems
  • Moisture monitors
  • Seed drills
  • Fertilizer spreading equipment
  • Soil samplers
  • Air clutches
  • Global positioning system GPS receivers
  • Tractor mounted soil probes
  • Lightbar guidance systems
  • Soil electrical conductivity measurement devices
  • Yield monitor systems
  • Field personal computers PC
  • Laptop computers
  • Automatic boom control systems
  • Variable rate applicators