# Snips per Pound: When a Tomato Becomes Worth Growing

Author: Bennett Cawthon
Published: 2026-09-11
Updated: 2026-10-16
Canonical URL: https://www.streamlinefarms.com/blog/automation-could-change-what-is-worth-growing
Article type: Operating experience and systems thesis

## How much must selective harvesting cost fall before a crop becomes worth growing?

Count accepted picking actions per saleable pound, time per action, paid labor, visits, handling, and machine ownership. In the illustrative example, 100 actions at 40 actions per minute require $1.17 of picking labor per pound at $28 per hour. A $1 harvest budget requires faster accepted work or fewer actions, before adding other harvest costs.

Every ripe cherry tomato needs picking, and the next one may not be ready until tomorrow. Under our earlier Streamline labor model, those repeated visits and picking actions made cherry tomatoes uneconomic. I call the problem **snips per pound**: how much paid work goes into a pound someone can use?

The operating observation is real. We have not published the underlying historical cost ledger, so the numbers below are an illustrative model rather than a reconstruction of our farm's results.

## Put a price on the repeated action

Assume $28 per paid labor hour and 40 accepted picking actions per minute. Ignore travel and packing for the moment to isolate the picking mechanism.

| Actions per saleable pound | Picking minutes per pound | Picking labor per pound |
|---|---:|---:|
| 50 | 1.25 | $0.58 |
| 100 | 2.50 | $1.17 |
| 150 | 3.75 | $1.75 |

The action count matters as much as speed. A damaged or rejected fruit consumes work without adding saleable output.

Suppose the crop can afford $1.00 per pound for picking after other costs and the required margin. At $28 per hour, that buys 2.14 minutes. A 100-action pound requires at least 46.7 accepted actions per minute to fit that budget. Travel, setup, supervision, and handling would raise the required performance further.

## Why household demand changes the design

A restaurant buying bulk volume and a household consuming small amounts across a week value ripening differently. A series of small harvests could serve a recurring food plan if the cost of visiting and harvesting stays low.

Our farm-and-kitchen design concentrates that work near collection and preparation. A recurring meal plan gives the team a reason to schedule the crop and small harvests together. Testing that arrangement at one farm is more direct than dispatching a robot across scattered yards. It still needs a buyer for each accepted pound and a bill the crop can support.

Test the crop against both uses: ingredients someone will cook at home and produce a neighborhood kitchen can turn into lunch or another meal. A kitchen may accept a different size or appearance, but usable yield, preparation labor, and the customer's meal still determine its value. Count those differences rather than calling all harvested pounds equivalent.

## The experiment that would change the decision

Use the same crop, acceptance standard, and harvest window for the comparison. Record actions attempted, saleable pounds, damage, visits, total paid time, and rework. Compare ordinary tools, layout changes, and selective robotics.

A robot changes the crop decision when its full cost crosses that threshold. Measure the accepted work across repeat visits and a growing cycle; peak demonstration speed does not establish annual use. The same comparison applies to better hand tools or a change in bed layout.

Publish the historical ledger if it can be recovered, then compare the new method against it. Until then, the model identifies what must be measured. [Annual robot economics](https://www.streamlinefarms.com/blog/biology-autonomy-unit-economics/) adds ownership and utilization to this per-pound test.

Have a picking method worth comparing? [Bring a robotics or automation proposal](https://www.streamlinefarms.com/work-with-us?intent=robotics_automation_partnership) with accepted pounds, paid time, damage, and the costs beyond the demonstration.