Record agricultural or forestry inventory data.

Record agricultural or forestry inventory data. is a detailed work activity in O*NET — a concrete unit of work shared across 7 occupations and seen in 8 occupation-specific tasks. It rolls up into the broader work activity Maintain operational records. in Documenting/Recording Information .

Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.

AI exposure

Of the 8 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 5 (63%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.

Member tasks

Occupation-specific tasks O*NET maps to this detailed work activity, most important first.

• Record data about individual trees or load volumes into tally books or hand-held collection terminals. · Log Graders and Scalers · importance 4.6 · exposure with tools
• Record the numbers and types of fish or shellfish reared, harvested, released, sold, and shipped. · First-Line Supervisors of Farming, Fishing, and Forestry Workers · importance 4.5 · direct LLM exposure
• Weigh log trucks before and after unloading, and record load weights and supplier identities. · Log Graders and Scalers · importance 4.2 · no direct exposure
• Record grade or identification numbers on tags or on shipping, receiving, or sales sheets. · Graders and Sorters, Agricultural Products · importance 4.2 · direct LLM exposure
• Weigh crop-filled containers, and record weights and other identifying information. · Agricultural Equipment Operators · importance 4.0 · no direct exposure
• Select and mark trees for thinning or logging, drawing detailed plans that include access roads. · Forest and Conservation Technicians · importance 3.7 · exposure with tools
• Maintain tallies of trees examined and counted during tree marking or measuring efforts. · Forest and Conservation Workers · importance 3.5 · direct LLM exposure
• Package and label semen to be used for artificial insemination, recording information such as the date, source, quality, and concentration. · Animal Breeders · importance 3.1 · no direct exposure

Occupations that perform this

• Log Graders and Scalers
• First-Line Supervisors of Farming, Fishing, and Forestry Workers
• Graders and Sorters, Agricultural Products
• Agricultural Equipment Operators
• Forest and Conservation Technicians
• Forest and Conservation Workers
• Animal Breeders

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-record-agricultural-or-forestry-inventory-data,
  title  = {Record agricultural or forestry inventory data.},
  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/detailed-activities/record-agricultural-or-forestry-inventory-data}
}