Hands-on
2026-02 · Machine Learning/Expert
Explore a possible path
Precision Agriculture Technicians
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.
How does this connect to your interests? →A look at the work
- 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).
- 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.
- Divide agricultural fields into georeferenced zones, based on soil characteristics and production potentials.
- 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.
- Compare crop yield maps with maps of soil test data, chemical application patterns, or other information to develop site-specific crop management plans.
- Analyze geospatial data to determine agricultural implications of factors such as soil quality, terrain, field productivity, fertilizers, or weather conditions.
A selection of source-listed tasks; duties vary by role and employer.
Interests involved in this work
These source scores describe occupational work activities. They are separate from your personal test results.
6.5 / 7
Investigative
2026-02 · Machine Learning/Expert
Creative
2026-02 · Machine Learning/Expert
Helping people
2026-02 · Machine Learning/Expert
Enterprising
2026-02 · Machine Learning/Expert
Organizing
2026-02 · Machine Learning/Expert
Skills to explore
Source-reported importance on a 1–5 scale. Try a course, project or conversation to learn what these skills involve.
Reading Comprehension
Understanding written sentences and paragraphs in work-related documents.
2023-08
Active Listening
Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
2023-08
Critical Thinking
Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
2023-08
Speaking
Talking to others to convey information effectively.
2023-08
Writing
Communicating effectively in writing as appropriate for the needs of the audience.
2023-08
Active Learning
Understanding the implications of new information for both current and future problem-solving and decision-making.
2023-08
Complex Problem Solving
Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
2023-08
Mathematics
Using mathematics to solve problems.
2023-08
Monitoring
Monitoring/Assessing performance of yourself, other individuals, or organizations to make improvements or take corrective action.
2023-08
Judgment and Decision Making
Considering the relative costs and benefits of potential actions to choose the most appropriate one.
2023-08
Plan a small next step
Talk to someone doing this work, look for a supervised activity, and explore the subjects that interest you. Admission, licensing and current program requirements should be confirmed with the relevant institutions.
Source preparation category: Job Zone 3 of 5 · 2023-08. This category describes typical preparation, not your eligibility.
Related study fields
Source crosswalk connections are research leads, not required qualifications.
Soil Science and Agronomy, General →
Agriculture/Veterinary Preparatory Programs, Other →
Biology/Biological Sciences, General →
Explore all related study fields →Source & methodology
O*NET-SOC code 19-4012.01 · Database 31.0 · Retrieved Oct 14, 2026. Dates on individual observations describe their source periods.
How interest exploration matching works →Data: O*NET® 31.0 Database, U.S. Department of Labor, Employment and Training Administration. Used under CC BY 4.0. StudyIndex normalizes the presentation and adds exploration features; USDOL/ETA has not approved, endorsed or tested these additions.