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Precision Agriculture Technicians

SOC 19-4012.01Job Zone 3 · Medium Preparationv.26.05

Context coveredThis framework covers precision agriculture technicians working in field data collection, GIS-based soil and yield mapping, sensor and GPS system management, and site-specific crop management planning within farm services, agribusiness, and agricultural consulting environments.

Sources:O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.SkillsCrosswalkSkillsCrosswalk — O*NET enrichment + adjacency index. Opens in new tab.
Emerging
Entry / Apprentice
  1. Field data recorders and basic GIS software — operate under direct supervision to collect soil attributes, yield data, and field boundary information on assigned agricultural sites.
  2. Precision agriculture records and documentation — maintain and organize under technician guidance using spreadsheet and office suite software in a farm or agribusiness setting.
  3. GPS-based vehicle guidance systems and sensors — assist with installation and basic setup following written protocols on farm equipment under supervisor oversight.
  4. Soil sampling grids — support development by following pre-established geospatial templates to identify testing sites for nitrogen, phosphorus, and pH content.
  5. Georeferenced field zones — recognize and label on existing maps based on provided soil characteristic data under the direction of a senior technician.
  6. Map creation software and GIS platforms — perform entry-level data entry and layer loading tasks with direct instruction in a precision agriculture office environment.
  7. Crop yield and soil test datasets — review and describe basic patterns with guidance, using analytical software provided by the employer.
  8. Technical manuals and agronomic reports — read and summarize key information under supervision to support daily data collection and field preparation tasks.
  9. Sensor calibration procedures — follow step-by-step written checklists to verify basic equipment function on field machinery at the start of a crop season.
  10. Mobile location-based services software — use to navigate to assigned sampling sites and log field observations under direct technician supervision.
Developing
Mid-level / Established
  1. Soil sampling grids and georeferenced zones — develop independently using geospatial technology to identify testing sites for nutrient content and pH across familiar field conditions.
  2. Precision agriculture data records — maintain accurately and update routinely in database and spreadsheet software with minimal oversight across multiple farm accounts.
  3. Agricultural field boundaries and zone maps — create and refine in GIS software by integrating soil characteristics and production potential data for standard field configurations.
  4. GPS guidance systems, sensors, and mechanical controls — install, calibrate, and troubleshoot following established protocols with reduced supervision on commercial farm equipment.
  5. Crop yield maps and soil test data layers — compare and analyze using map creation software to identify spatial patterns and support preliminary site-specific management recommendations.
  6. Geospatial datasets including terrain, drainage, and input application records — layer and interpret in GIS to draw agronomic conclusions in routine field scenarios.
  7. Written field reports and management summaries — compose clearly using office suite and word processing software to communicate findings to farm operators and agronomists.
  8. Equipment calibration logs and maintenance schedules — manage proactively to ensure sensor accuracy and system reliability across a seasonal field operations cycle.
  9. Mathematics and basic statistical methods — apply to interpret soil nutrient levels, yield variability, and fertilizer rate calculations in support of prescription map development.
  10. Client field information and service requests — coordinate and prioritize using time management practices to meet scheduled sampling and data delivery deadlines.
Proficient
Senior / Expert IC
  1. Complex geospatial datasets including yield, soil quality, weather, and field history — analyze autonomously to determine agricultural implications and develop site-specific crop management plans.
  2. Multi-layer precision agriculture maps covering crop yields, chemical applications, and terrain — create, interpret, and present to farm operators using advanced GIS and map creation software.
  3. Crop yield maps cross-referenced with soil test, fertilizer, and drainage data — compare systematically to produce variable-rate application prescriptions and management zone recommendations.
  4. Full-season calibration and maintenance programs for GPS guidance, sensors, and automated controls — design and execute independently to sustain data accuracy across diverse equipment fleets.
  5. Soil sampling strategies for non-routine field conditions such as irregular terrain or mixed soil series — develop using inductive and deductive reasoning to optimize sampling density and site selection.
  6. Precision agriculture information systems including databases, GIS platforms, and analytical software — integrate across tools to support seamless data flow from field collection through agronomic reporting.
  7. Site-specific nutrient management and production efficiency challenges — solve using critical thinking and systems analysis across the full scope of field, crop, and environmental variables.
  8. Technical findings and agronomic recommendations — communicate clearly and persuasively in written reports and oral presentations tailored to farm managers, agronomists, and agricultural consultants.
  9. Emerging geospatial and sensor technologies — evaluate for practical applicability and integrate into existing field data collection and analysis workflows on active commercial operations.
  10. Quality control reviews of field data collection, map accuracy, and record completeness — conduct systematically to ensure deliverable integrity across all assigned farm accounts.
Advanced
Lead / Principal / Executive
  1. Precision agriculture service programs and technical standards — design and implement at organizational scale, setting protocols for data collection, analysis, and reporting across multiple technician teams.
  2. Junior and mid-level precision agriculture technicians — mentor and develop through structured on-the-job coaching, learning strategy instruction, and performance feedback in field and office settings.
  3. Enterprise-wide geospatial data management systems — evaluate, select, and configure to optimize workflow efficiency, data integrity, and analytical capability across large agribusiness operations.
  4. Strategic crop management frameworks integrating soil quality, productivity mapping, input economics, and weather modeling — lead development and continuous refinement for client portfolios.
  5. Cross-functional teams including agronomists, farm operators, equipment dealers, and technology vendors — coordinate and align to deliver integrated precision agriculture solutions at regional or national scale.
  6. Organizational best practices for GIS, sensor technology, and variable-rate application systems — establish and update based on emerging research, technology advances, and field performance data.
  7. Complex, non-routine agronomic and geospatial problems affecting multiple farms or commodities — resolve by applying advanced systems analysis, judgment, and decision-making leadership.
  8. Precision agriculture business proposals, technical presentations, and stakeholder reports — author and deliver at executive and client leadership levels to drive adoption of data-driven farm management.
  9. Quality assurance and continuous improvement programs for all precision agriculture data products — lead across the organization, defining accuracy standards, audit procedures, and corrective action processes.
  10. Industry knowledge and professional networks in precision agriculture, geospatial science, and agronomy — cultivate and leverage to position the organization at the forefront of technological innovation and service excellence.

AI-at-Work Competency Framework

Sources:Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab.Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab.WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab.
Subscriber feature

Authoritative source data identified for 998 occupations

How a worker at each mastery level uses, directs, and evaluates AI tools in this occupation. Each statement cites its evidence inline; click a citation chip to verify the source.

Emerging
  1. AI-generated field reports — uses AI writing tools to draft basic documentation of soil sampling results and field observations, reviewing output for accuracy before submission Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
  2. GIS data interpretation — applies AI-assisted map viewers to read georeferenced zone outputs, cross-referencing against physical field conditions to confirm plausibility WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
Developing
  1. Soil attribute query delegation — directs AI assistants to parse and summarize large nutrient datasets (nitrogen, phosphorus, potassium, pH) collected from field recorders, then validates summaries against raw sensor logs WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  2. Sampling grid generation — uses AI-assisted geospatial tools to propose soil sampling grids across fields, adjusting grid density based on observed variability before finalizing sites Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  3. Sensor calibration guidance — queries AI tools for step-by-step calibration procedures for GPS guidance systems and mechanical controls, applying manufacturer tolerances as the final check.
Proficient
  1. Zone delineation review — directs an AI model to classify georeferenced field zones by soil characteristics and yield history, then applies agronomic judgment to merge or split AI-proposed boundaries before operator handoff Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  2. Anomaly diagnosis — hands off multi-season yield data and field boundary files to an AI analysis tool, interprets flagged anomalies in the context of local soil conditions, and documents corrective action WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  3. Record automation — orchestrates AI tools to auto-populate precision agriculture records from structured sensor exports, auditing every entry against field observation logs to ensure regulatory compliance Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
  4. Technical communication — uses AI drafting assistance to produce clear written summaries of geospatial findings for growers and agronomists, editing for domain accuracy and local context Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
Advanced
  1. Integrated decision workflow — designs multi-step AI-assisted pipelines that ingest GIS boundary data, sensor streams, and soil lab results to generate variable-rate application prescriptions, retaining authority over agronomic thresholds and risk decisions Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  2. Feasibility evaluation — assesses which precision agriculture tasks are suitable for AI automation versus those requiring physical calibration or field judgment, guiding team adoption within a Q2 augmentation model Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
  3. Cross-system data governance — establishes data quality standards and validation checkpoints for AI-processed geospatial and yield datasets, ensuring downstream models receive clean, representative inputs WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  4. Knowledge transfer — trains junior technicians to critically evaluate AI-generated soil maps and prescription outputs, embedding verification habits that counterbalance the moderate automation feasibility of core reading-comprehension tasks Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
  5. Continuous improvement — evaluates AI tool performance season over season by comparing model-suggested zone boundaries against harvest outcome data, iterating prompt structures and input formats to improve prescription accuracy WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
Evidence pack
SAFI positioning
Top skill: Reading Comprehension
Score: 45.5 / 100
Quadrant: Q2_ai_augmented
precision: exact
WEF cluster
Data Science and Analysis
data_science_and_analysis
Sources:Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab.WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab.

Pathsmith Durable Skills Framework

Sources:Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Subscriber feature

Ten durable-skill domains mapped to four proficiency/role levels for each occupation. Each statement is aligned to the Pathsmith taxonomy, derived from trusted grounding data and mapped to occupation-specific O*NET tasks and skills.

1Communication10 statements
Emerging
  1. Field data reports — summarizes soil sampling results and yield data using standard templates for review by senior technicians Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Farmer intake communication — asks basic questions about field history and crop goals during initial consultations with agricultural clients Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Precision ag findings — explains GIS map outputs and soil test results to growers using plain language, avoiding unnecessary technical jargon Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Technical documentation — writes clear field notes and calibration logs for GPS guidance systems and variable-rate application equipment Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Cross-team briefings — communicates equipment status and data collection progress to agronomists and farm operators during field operations Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Site-specific management plans — presents layered geospatial analysis and crop yield comparisons to growers in structured verbal and written formats Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Client service communication — translates complex soil characteristic data and fertilizer application recommendations into actionable guidance for diverse agricultural clients Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Equipment training delivery — explains sensor calibration procedures and GIS software workflows to farm staff through step-by-step verbal instruction O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Precision agriculture advocacy — leads grower meetings and field days to communicate emerging technologies such as variable-rate irrigation and drone sensing to broad producer audiences Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Cross-disciplinary reporting — authors comprehensive precision agriculture reports integrating soil science, engineering, and economic data for use by agribusiness clients and extension services Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
2Leadership8 statements
Emerging
  1. Field task ownership — completes assigned soil sampling and data collection tasks independently with minimal supervision during standard field operations Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Peer support — assists less experienced team members in operating field data recorders and GIS-based sampling equipment during training situations Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Field crew coordination — directs small teams during georeferenced soil sampling campaigns, assigning sampling zones and ensuring data integrity across collection points Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Client relationship stewardship — takes initiative in scheduling field visits and following up with growers to ensure precision ag recommendations are implemented correctly Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Project leadership — manages end-to-end precision agriculture projects from soil sampling grid design through variable-rate prescription delivery, ensuring deadlines and accuracy standards are met Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Technology adoption championing — leads farm operations in transitioning from conventional to precision practices by demonstrating GPS guidance and sensor systems during live equipment installations Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Program development — designs and leads precision agriculture service programs for agribusiness organizations, setting standards for data collection protocols, client engagement, and agronomic outcomes Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Technician mentorship — coaches and evaluates junior precision agriculture technicians in GIS analysis, equipment calibration, and site-specific management planning to build organizational capacity Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
3Metacognition8 statements
Emerging
  1. Skill gap recognition — identifies personal knowledge limitations in GIS software or soil science concepts and seeks out relevant training resources or supervisor guidance Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Task reflection — reviews completed soil sampling records and field boundary data for personal accuracy errors before submitting for agronomic analysis Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Learning strategy adaptation — adjusts self-study approach when encountering new geospatial technologies or sensor systems, selecting manuals, tutorials, or hands-on practice based on task complexity Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Workflow self-monitoring — tracks personal efficiency in creating and layering GIS maps, identifying steps where errors or slowdowns consistently occur and applying corrective procedures Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Analytical self-calibration — evaluates the quality of own geospatial interpretations by comparing crop yield map conclusions against independent soil test and weather data before delivering recommendations to clients Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Continuous improvement planning — sets personal development goals for mastering new precision agriculture software platforms or variable-rate technologies based on evolving industry requirements Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Expert self-regulation — monitors own interpretive biases when analyzing complex multi-layer agronomic datasets, applying deliberate verification steps to ensure site-specific management plans are evidence-based Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Knowledge transfer reflection — evaluates the effectiveness of own teaching and mentoring approaches when training growers or junior technicians, iterating methods based on observed comprehension outcomes Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
4Critical Thinking9 statements
Emerging
  1. Data validity checks — identifies obvious inconsistencies in field-collected soil sample data or GPS boundary records before entering information into precision ag databases Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Equipment troubleshooting — applies basic logical reasoning to diagnose common calibration errors in sensors or GPS guidance systems during field operations O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Comparative map analysis — examines relationships between crop yield maps and soil nutrient test layers to identify preliminary patterns warranting further investigation Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Sampling design evaluation — assesses whether proposed soil sampling grids adequately represent field variability by considering terrain, drainage patterns, and historical management zones Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Multi-variable agronomic analysis — evaluates geospatial data layers including soil quality, topography, fertilizer history, and weather records to determine limiting factors for field productivity zones Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Prescription plan scrutiny — critically examines variable-rate application recommendations against soil test evidence and yield history before presenting site-specific management plans to growers Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Assumption identification — challenges default agronomic assumptions embedded in precision ag software models by cross-referencing local field data and client-specific production history Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Complex problem resolution — synthesizes conflicting geospatial datasets, ambiguous soil chemistry results, and variable weather patterns to produce defensible, evidence-based crop management strategies for high-value agricultural operations Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Methodology critique — evaluates the strengths and limitations of competing precision agriculture data collection and analysis methodologies, recommending evidence-based improvements to organizational protocols Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
5Collaboration8 statements
Emerging
  1. Data handoff cooperation — shares collected field boundary and soil attribute data with agronomists and farm managers in agreed formats and timelines Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Team field operations — coordinates positioning and sampling responsibilities with fellow technicians during multi-person georeferenced soil collection events Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Agronomist partnership — collaborates with certified agronomists to interpret soil test results and jointly develop variable-rate nutrient application prescriptions Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Client-technician alignment — works alongside farm operators to reconcile field observation knowledge with GIS-derived zone boundaries during management plan development Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Cross-functional precision ag teams — contributes technical geospatial analysis and equipment expertise within multidisciplinary teams including agronomists, engineers, and sales staff to deliver integrated precision farming solutions Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Vendor and service coordination — collaborates with equipment manufacturers and software providers to resolve sensor integration issues and ensure data compatibility across precision agriculture systems O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Regional collaboration leadership — facilitates working groups among multiple agricultural operations, extension services, and technology vendors to align precision agriculture data standards and shared field trial protocols Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Conflict navigation — mediates disagreements between agronomic recommendations and grower preferences by presenting objective data analysis and brokering mutually acceptable site-specific management solutions Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
6Character8 statements
Emerging
  1. Data integrity commitment — records field observations and soil sample identifiers accurately without alteration, even when results contradict expected outcomes Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Professional punctuality — arrives prepared for field data collection appointments with calibrated equipment and complete sampling materials, honoring grower time commitments Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Ethical data stewardship — protects confidentiality of grower field data, yield records, and soil test results in compliance with client agreements and organizational data policies Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Accountability in error reporting — discloses calibration mistakes or data collection errors to supervisors and clients promptly, providing corrective resampling plans Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Unbiased agronomic advising — delivers soil management and nutrient application recommendations based solely on field data and agronomic evidence, free from sales pressure or product incentive influence Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Consistent professionalism — maintains respectful, reliable service conduct across interactions with large commercial farm operations and small family-owned agricultural clients alike Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Organizational ethics modeling — establishes and enforces data integrity and client confidentiality standards across precision agriculture service teams, serving as an ethical reference point for colleagues Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Transparent limitation disclosure — proactively communicates the boundaries of geospatial analysis conclusions to clients, preventing overreliance on precision ag data in high-stakes farm management decisions Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
7Creativity8 statements
Emerging
  1. Sampling innovation — proposes alternative soil sampling site locations when standard grid designs are impractical due to field obstacles, drainage features, or access limitations Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Visualization experimentation — explores different map layer combinations in GIS software to surface unexpected relationships between soil characteristics and yield data Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Custom zone design — develops tailored georeferenced management zone boundaries that integrate multiple data sources including historical yield, soil pH gradients, and terrain analysis beyond standard protocols Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Workflow adaptation — devises modified data collection procedures when standard GPS guidance or sensor systems fail in remote or signal-limited field environments Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Novel prescription development — constructs site-specific variable-rate application plans that combine unconventional data layers such as drainage patterns and micronutrient interactions to address persistent yield variability Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Technology integration — identifies and pilots new sensor configurations or GIS analysis techniques to improve the resolution and actionability of precision agriculture field assessments Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Service innovation — designs new precision agriculture service offerings that integrate emerging technologies such as satellite imagery, drone sensing, and machine learning models to expand client value Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Problem reframing — reconceptualizes recurring field productivity challenges as spatial data analysis problems, developing original geospatial methodologies that produce breakthrough management insights for client operations Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
8Growth Mindset8 statements
Emerging
  1. Technology curiosity — engages willingly with unfamiliar GIS platforms, sensor hardware, or variable-rate controller software during initial training without defaulting to resistance Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Feedback receptivity — accepts correction from agronomists or senior technicians regarding soil sampling procedures or data interpretation errors and applies changes in subsequent fieldwork Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Skill expansion pursuit — voluntarily learns additional GIS analysis functions or remote sensing interpretation skills beyond current job requirements to increase agronomic value to clients Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Setback persistence — continues troubleshooting malfunctioning GPS guidance or sensor calibration systems methodically rather than abandoning the process when initial correction attempts fail Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Emerging technology adoption — proactively studies and integrates new precision agriculture tools such as variable-rate irrigation controllers or aerial imagery platforms as they become available in the industry Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Iterative improvement orientation — treats each completed crop management plan as a learning opportunity, reviewing actual yield outcomes against predictions to refine future geospatial analysis approaches Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Organizational learning culture — fosters a team environment where precision agriculture technicians are encouraged to experiment with new data collection methods, share failures transparently, and build collective agronomic expertise Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Long-term mastery investment — pursues advanced credentials in GIS, agronomy, or precision technology while maintaining full field service responsibilities, demonstrating sustained commitment to professional development Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
9Mindfulness8 statements
Emerging
  1. Field attention management — maintains focus during repetitive soil sampling sequences to ensure sample site accuracy and prevents georeferencing errors caused by distraction Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Client interaction presence — gives full attention to grower descriptions of field problems during site visits rather than simultaneously managing equipment or data recorders Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Data collection intentionality — pauses to verify GPS coordinate accuracy and sample labeling before moving to the next sampling site, preventing downstream analytical errors Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Stress awareness in time pressure — recognizes personal tension during compressed planting-season fieldwork schedules and applies deliberate pacing strategies to maintain data quality Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Situational awareness in dynamic fields — monitors changing field conditions such as unexpected terrain, equipment anomalies, or shifting weather during data collection operations and adjusts methodology in real time Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Intentional analysis approach — engages in systematic, unhurried review of multi-layer GIS map outputs before drawing agronomic conclusions, resisting premature pattern identification under client time pressure Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Regulated client-facing composure — maintains calm, focused communication when delivering unfavorable soil test outcomes or complex yield variability findings to frustrated or skeptical growers Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Organizational mindfulness modeling — introduces deliberate review checkpoints into team data processing workflows, cultivating a culture of careful, attentive practice in precision agriculture operations Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
10Fortitude8 statements
Emerging
  1. Physical field endurance — completes soil sampling assignments in challenging weather conditions such as extreme heat, rain, or mud without compromising collection quality or safety protocols Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Technology frustration tolerance — continues working through GPS signal loss or software errors during field data collection rather than abandoning data integrity for convenience Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Ambiguous data persistence — continues systematic geospatial analysis when crop yield patterns or soil test results are unclear or contradictory, resisting the urge to force premature conclusions Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Client resistance navigation — maintains agronomic position and continues client engagement when growers push back against precision agriculture recommendations conflicting with traditional farming intuitions Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. High-stakes deadline resilience — sustains accuracy and thoroughness in delivering site-specific management plans during peak growing-season workloads when multiple client timelines converge Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Equipment failure recovery — executes backup data collection protocols and salvages field campaigns when primary GPS guidance systems, sensors, or GIS tools fail unexpectedly mid-operation Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Organizational crisis steadiness — leads precision agriculture teams through major technology transitions, data system failures, or adverse growing seasons with composure and strategic problem-solving that protects client outcomes Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Long-cycle project perseverance — sustains rigorous multi-season precision agriculture monitoring programs across years of variable agronomic outcomes, maintaining data quality and client confidence through extended uncertainty Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Sources:Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
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Source anchors that ground each statement

Related titles
Agriculture Specialist · Agriculture Technician (Agriculture Tech) · Agrintelligence Specialist (Agriculture Intelligence Specialist) · Agronomist · Agronomy Consultant · Agronomy Specialist · Certified Crop Specialist · Crop Consultant · Crop Specialist · Extension Precision Agriculture Specialist · Field Agronomist · Field Sales Agronomist
RAPIDS apprenticeships
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O*NET skills
Reading ComprehensionCritical ThinkingActive ListeningSpeakingWritingComplex Problem SolvingActive LearningMathematicsMonitoringJudgment and Decision MakingSystems AnalysisSystems EvaluationLearning StrategiesCoordinationTime Management
Knowledge domains
Customer and Personal ServiceComputers and ElectronicsSales and MarketingEnglish LanguageMathematicsEngineering and TechnologyBiologyFood ProductionMechanicalGeographyEducation and TrainingChemistryProduction and Processing
Abilities
Inductive ReasoningDeductive ReasoningWritten ExpressionOral ExpressionWritten ComprehensionOral ComprehensionNear VisionInformation OrderingProblem SensitivityFluency of Ideas
Work styles
Attention to DetailInnovationDependabilityIntellectual CuriosityCautiousnessAchievement Orientation
Technology
Data base user interface and query softwareAnalytical or scientific softwareGeographic information systemMap creation softwareMobile location based services softwareSpreadsheet softwareOffice suite softwareElectronic mail softwarePresentation softwareOperating system software
Tasks · seed anchors for statements
  1. Document and maintain records of precision agriculture information.
  2. Collect information about soil or field attributes, yield data, or field boundaries, using field data recorders and basic geographic information systems (GIS).
  3. 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.
  4. Divide agricultural fields into georeferenced zones, based on soil characteristics and production potentials.
  5. Install, calibrate, or maintain sensors, mechanical controls, GPS-based vehicle guidance systems, or computer settings.
  6. Create, layer, and analyze maps showing precision agricultural data, such as crop yields, soil characteristics, input applications, terrain, drainage patterns, or field management history.
  7. Compare crop yield maps with maps of soil test data, chemical application patterns, or other information to develop site-specific crop management plans.
  8. Analyze geospatial data to determine agricultural implications of factors such as soil quality, terrain, field productivity, fertilizers, or weather conditions.
CIP education codes
01.000001.090101.090501.090701.110101.110201.120101.139926.0101

Sources: O*NET v30.2 (CC BY 4.0), SkillsCrosswalk.com, LER.me, Anthropic Economic Index, SAFI (Jadhav & Danve, 2026), WEF Skills Taxonomy 2021, Pathsmith Durable Skills Framework. © 2026 EBSCOed.