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Automation Risk Analysis

Will “Agronomy Consultant” be Automated?

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AI Exposure Risk

57%

“Agronomy Consultant” 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%

“Agronomy Consultant” 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.

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

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

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

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

  • 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 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.

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

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

  • Contact equipment manufacturers for technical assistance, as needed.

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

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

  • 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.

  • 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.

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

  • Document and maintain records of precision agriculture information.

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

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

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

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

Technologies & Software

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