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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

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

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

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

  • 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.

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

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

  • 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.

  • Contact equipment manufacturers for technical assistance, as needed.

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

  • Document and maintain records of precision agriculture information.

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

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

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

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

  • Analyze data from harvester monitors to develop yield maps.

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

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

  • 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.

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

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

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

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

Technologies & Software

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