Will agricultural graders be replaced by AI?
Updated
Agricultural graders score 22 of 100 for AI exposure. 67% of their task time still needs a person. AI speeds up the other 33%.
- 33% AI helps
- 67% Needs a person
Low exposure
Lower than 76% of the 923 occupations we scored.
Task by task
We graded 5 tasks, listed here from most to least exposed. AI can't do any of them end to end yet. It speeds up 2 and leaves 3 to people.
| Task | AI exposure |
|---|---|
| Record grade or identification numbers on tags or on shipping, receiving, or sales sheets. Recording grades is easy to digitize; tag marking stays manual. | 55% AI helps |
| Grade and sort products according to factors such as color, species, length, width, appearance, feel, smell, and quality to ensure correct processing and usage. Cameras assist visual grading; feel and smell need people. | 40% AI helps |
| Discard inferior or defective products or foreign matter, and place acceptable products in containers for further processing. Physical removal of defects; vision sorters help only partly. | 20% Needs a person |
| Place products in containers according to grade and mark grades on containers. Physical packing and container handling; AI adds little. | 12% Needs a person |
| Weigh products or estimate their weight, visually or by feel. Physical weighing and tactile estimation need hands on product. | 10% Needs a person |
How agricultural graders compare
All occupations (923)
Farming, fishing and forestry (12)
Pay and outlook in the US
- Median pay
- $35,730 a year, May 2025
- People employed
- 25,180 in the US, May 2025
- Projected change in jobs
- -3.4% from 2024 to 2034
Skills to build
- Log grade numbers in Microsoft Excel lot records
- Match tag grade numbers to shipping sheets in Microsoft Access
- Grade produce by color and defects against USDA standards
- Remove defective product and foreign matter from the packing line
- Weigh product manually and estimate weight by feel
Safer roles nearby
5 related occupations with lower scores.
Questions about agricultural graders and AI
Will AI replace agricultural graders?
Partly. About 2 in 10 working hours go to tasks AI can already do, mostly recording grade numbers on sheets and grading by color and appearance. Physical sorting, defect removal, container packing and weighing by feel stay with people because they need hands on the product.
Which tasks will AI take over for agricultural graders?
Recording grade numbers on tags and shipping sheets scores 55 on exposure, the highest of any task in this job. Software can pull grades from a camera or scale feed and fill in the sheet, so this data entry shrinks first. Visual grading by color and appearance, scoring 40, follows as cameras handle more of the checking.
Which tasks of agricultural graders stay human?
Discarding defects and foreign matter scores 20, and a worker still has to pick damaged product off the belt manually. Placing product in containers by grade scores 12, and weighing or estimating weight by feel scores 10. Both need hands on the product, so AI adds little there.
How can agricultural graders stay valuable?
Move toward the hands-on work and the records that tie each tag to the product. Log every grade in Microsoft Excel with lot numbers that match each tag. Calibrate visual grades against USDA color standards each shift. Spot-check camera sorter output manually and fix the misses.
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Next steps for agricultural graders
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