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Automation Risk Analysis

Will “Precision Agronomist” be Automated?

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AI Exposure Risk

57%

“Precision Agronomist” 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%

“Precision Agronomist” 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

  • 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.

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

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

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

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

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

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

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

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

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

  • Contact equipment manufacturers for technical assistance, as needed.

  • Analyze data from harvester monitors to develop yield maps.

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

  • 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.

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

  • 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.

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

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

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

  • Document and maintain records of precision agriculture information.

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

Technologies & Software

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