1.5AI / 10
Use the score to choose where to start adapting
Not ExposedCompare the score with the work you actually do. Separate repetitive work, work that needs review, and work that depends on human judgement.
Source ID: SRC-2026-07-14-ilo-wp140International Labour Organization (ILO) Working Paper 140
Fruit, Vegetable and Related Preservers in the age of AI: impact evidence and adaptation options
ISCO-08 7514 · Thai source label: ผู้ถนอมผลไม้ พืชผัก และผู้ถนอมอาหารที่เกี่ยวข้อง
This score estimates where generative AI may assist with or perform parts of tasks. It does not predict that a job will disappear.
What the ILO evidence measures
Occupation codeISCO-08 7514
AI exposure groupNot Exposed
Score sourceILO Working Paper 140
Tasks in this occupation
O*NET statements are enrichment from US roles connected through the official BLS and O*NET crosswalk chain. Confirm that an example fits your local work before using it.
Record production and test data, such as processing steps, temperature and steam readings, cooking time, batches processed, and test results.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Listen for malfunction alarms, and shut down equipment and notify supervisors when necessary.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Collect and examine product samples during production to test them for quality, color, content, consistency, viscosity, acidity, or specific gravity.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Observe gauges, dials, and product characteristics, and adjust controls to maintain appropriate temperature, pressure, and flow of ingredients.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Read work orders, recipes, or formulas to determine cooking times and temperatures, and ingredient specifications.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Clean, wash, and sterilize equipment and cooking area, using water hoses, cleaning or sterilizing solutions, or rinses.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Set temperature, pressure, and time controls, and start conveyers, machines, or pumps.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Tend or operate and control equipment, such as kettles, cookers, vats and tanks, and boilers, to cook ingredients or prepare products for further processing.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Skills used in this occupation
O*NET importance ratings provide a sourced starting point for deciding which existing capabilities to strengthen.
Monitoring
Importance rating: 3.12 out of 5.
Reading Comprehension
Importance rating: 3.12 out of 5.
Active Listening
Importance rating: 3.00 out of 5.
Critical Thinking
Importance rating: 3.00 out of 5.
Writing
Importance rating: 2.75 out of 5.
Active Learning
Importance rating: 2.62 out of 5.
ESCO skill-group context
These shares describe how ESCO skill records for the occupation group are distributed across broad categories. They are not personal capability scores or mandatory skills for every job.
working with machinery and specialised equipment
35.1% of the published ESCO matrix row
assisting and caring
23.7% of the published ESCO matrix row
communication, collaboration and creativity
13.4% of the published ESCO matrix row
information skills
10.3% of the published ESCO matrix row
Build a plan from the task you choose
The Planner does not display invented capability percentages. You select a task, baseline the current method, run a safe bounded experiment, and keep evidence before deciding whether to continue.
30 days
Select one task, map its process, and measure time, quality, and rework across at least three examples.
60 days
Test one bounded step with synthetic or de-identified data, then log errors, human checks, and limitations.
90 days
Use the reviewed method in a real cycle with the process owner's approval, or stop if the result is not good enough.
Relevant courses
Recommendations match reviewed course categories to ISCO-08 and mapped ESCO skill-group records. Occupation-title keywords are not used as sole evidence. Before enrolling, recheck the syllabus, language, schedule, cost, and current access with the provider.
No verified course currently matches this occupation's specific skill evidence as of 12 August 2026. The foundation below applies across occupations and is not occupation-specific.
AI Fluency
ความคล่องตัวของ AI
- Why it is recommended
- A cross-occupation foundation, not a course specific to Fruit, Vegetable and Related Preservers: use it to practise AI literacy, prompting, output checks, and responsible use.
- Practice output
- Choose one Fruit, Vegetable and Related Preservers duty, use synthetic data to create a prompt, verify three outputs against a source, and record the errors.
- Study time
- 7 modules
- Cost and access
- Microsoft Learn content is free and can be consumed without signing in; a free profile is needed to save progress or achievements.
This page uses scores from International Labour Organization (ILO) Working Paper 140, official Thai duties from NSO, mapped O*NET enrichment, and ESCO skill-group context with an explicit mapping scope. Roongan does not fill evidence gaps with generated claims.
This service uses the ESCO classification of the European Commission.