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

“Prepare reports in graphical or tabular form, summarizing field productivity or profitability.” is a core task performed by Precision Agriculture Technicians. Among the occupation's 22 rated tasks, workers place it 8th by importance (#15 most important). About 96% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Prepare reports of operational or procedural activities. in Documenting/Recording Information

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T3.

Other tasks in this occupation

• Document and maintain records of precision agriculture information. · importance 4.3
• Collect information about soil or field attributes, yield data, or field boundaries, using field data recorders and basic geographic information systems (GIS). · importance 4.2
• 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. · importance 4.2
• Divide agricultural fields into georeferenced zones, based on soil characteristics and production potentials. · importance 4.1
• Install, calibrate, or maintain sensors, mechanical controls, GPS-based vehicle guidance systems, or computer settings. · importance 4.0
• Create, layer, and analyze maps showing precision agricultural data, such as crop yields, soil characteristics, input applications, terrain, drainage patterns, or field management history. · importance 4.0
• Compare crop yield maps with maps of soil test data, chemical application patterns, or other information to develop site-specific crop management plans. · importance 4.0
• Analyze geospatial data to determine agricultural implications of factors such as soil quality, terrain, field productivity, fertilizers, or weather conditions. · importance 4.0
• Identify spatial coordinates, using remote sensing and Global Positioning System (GPS) data. · importance 4.0
• Analyze data from harvester monitors to develop yield maps. · importance 4.0
• Apply precision agriculture information to specifically reduce the negative environmental impacts of farming practices. · importance 3.9
• 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. · importance 3.8
• Draw or read maps, such as soil, contour, or plat maps. · importance 3.7
• Recommend best crop varieties or seeding rates for specific field areas, based on analysis of geospatial data. · importance 3.7

See all tasks on the Precision Agriculture Technicians page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-20876,
  title  = {Prepare reports in graphical or tabular form, summarizing field productivity or profitability.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-20876}
}