Improving FCR Per Bin: A Bin-Level Approach to Feed Optimization
Farm-level FCR averages hide where your actual feed waste is happening. That's the problem with looking at the overall number.
Here's what the data consistently shows: in most cricket farms, the bottom 20% of bins by FCR performance account for over 60% of total feed waste. You could average an FCR of 2.0 across the farm while your worst 10 bins are running at 3.5+ and dragging up the average.
If you're only looking at farm-level FCR, you don't see that. You think you have a 2.0 problem. You actually have a 3.5 problem in a specific subset of bins with an identifiable cause.
This guide covers how to identify which bins are your FCR outliers and what to systematically check to find and fix the cause.
TL;DR
- Here's what the data consistently shows: in most cricket farms, the bottom 20% of bins by FCR performance account for over 60% of total feed waste.
- You could average an FCR of 2.0 across the farm while your worst 10 bins are running at 3.5+ and dragging up the average.
- You actually have a 3.5 problem in a specific subset of bins with an identifiable cause.
- If your farm average FCR is 1.9, a bin consistently running at 2.5 or above is an outlier worth investigating.
- A bin with consistently poor FCR over 3-4 consecutive cycles has a structural problem.
- Sort your bin-level FCR data by average FCR across the last 3-5 cycles.
- Work through this checklist systematically:
Check 1: Temperature
Get a thermometer into the bin and record the temperature over 24 hours, including overnight.
Why Bin-Level FCR Matters
The 20/60 Rule in Cricket Farms
This relationship appears consistently in farms that start tracking bin-level FCR: a small minority of bins drives a disproportionate share of total feed waste. The exact numbers vary by farm, but the pattern is reliable.
Why? Because FCR problems almost always have specific causes, temperature zones, bin density issues, feed delivery problems, disease pressure, and those causes tend to be clustered in specific bins or areas of the production room, not evenly distributed across all bins.
A farm-level average obscures this. Bin-level data reveals it.
What Bin-Level FCR Tells You That Farm-Level Doesn't
- Which bins are underperforming, specific, actionable identification
- Whether the problem is consistent or variable, if the same bins underperform cycle after cycle, the problem is structural (temperature zone, bin position, equipment)
- Whether problems are correlated with batch age or season, which points toward temperature management issues
- How much improvement is actually available, closing the gap between your best and worst bins shows your realistic optimization ceiling
How to Calculate and Track FCR Per Bin
The Data You Need
For each bin, each production cycle:
- Feed in: Total feed provided from hatch to harvest, in grams or pounds
- Cricket out: Total harvest weight, in grams or pounds
The Calculation
Bin FCR = Total feed provided (lbs) ÷ Total cricket harvested (lbs)Do this for every bin at every harvest. Build up a database of bin-level FCR values over multiple production cycles.
In CricketOps
CricketOps calculates FCR per bin automatically from your feeding logs and harvest records. When you log each feeding (quantity and date) and record your harvest weight, the platform calculates the cycle FCR and shows it alongside your other bin metrics.
The analytics view lets you sort bins by FCR, which immediately surfaces your outliers. Your best-performing and worst-performing bins are visible in a single ranked list. Without a platform doing this calculation, you'd have to do it manually in a spreadsheet, possible but tedious across many bins.
Identifying FCR Outliers
What Qualifies as an Outlier?
If your farm average FCR is 1.9, a bin consistently running at 2.5 or above is an outlier worth investigating. The threshold is relative to your farm average, you're looking for bins that are meaningfully above your typical performance, not just slightly.
Multi-Cycle Outliers vs Single-Cycle Outliers
A bin with one bad FCR cycle might have experienced a specific event (disease event, temperature excursion, delayed harvest). A bin with consistently poor FCR over 3-4 consecutive cycles has a structural problem.
Sort your bin-level FCR data by average FCR across the last 3-5 cycles. The persistent outliers at the top of the list are your priority investigation targets.
Diagnosing the Root Cause
Once you've identified your FCR outlier bins, you need to understand why they're underperforming. Work through this checklist systematically:
Check 1: Temperature
Get a thermometer into the bin and record the temperature over 24 hours, including overnight. Compare to your other bins.
What to look for: Is this bin consistently 3-5°F cooler than your average? Cool bins have slower growth and worse FCR regardless of other management factors.
Common causes: Bin position near an exterior wall, insufficient heating coverage in that area of the room, poor airflow in the bin's location.
Check 2: Bin Density
Count the approximate cricket population in the outlier bin and compare to your typical target.
What to look for: Is this bin measurably more crowded than your others at the same age?
Common causes: Irregular hatch batches (more hatched in this bin than expected), failure to split overcrowded bins when density increased.
Check 3: Feed Delivery
Observe a feeding in the outlier bin versus a high-performing bin.
What to look for: Is feed distributed evenly? Are all crickets getting access? Is notable feed remaining at the next feeding (evidence of overfeeding)?
Common causes: Feeder positioning that causes feed clustering, feed particle size mismatch with cricket life stage, overfeeding.
Check 4: Feed Protein Content
If multiple bins across the farm have poor FCR and no obvious physical explanation, the feed is the likely cause. Verify your current feed's protein content, either from the manufacturer's specification or through a feed analysis test.
What to look for: Protein content below 20% almost always correlates with FCR above 2.3 for Acheta domesticus.
Check 5: Harvest Timing
Look at the last 3-4 harvest records for the outlier bin. Were they harvested at the same age as your other bins?
What to look for: Harvests that occurred 1-2 weeks late compared to your other bins. Late harvests dramatically increase FCR because the last week or two of an adult cricket's life has very poor feed conversion.
Check 6: Mortality Records
Compare mortality counts in the outlier bin to your farm average.
What to look for: Higher-than-average mortality in the outlier bin. Dead crickets consumed feed without being harvested, this registers as worse FCR even if the surviving crickets were performing normally.
Fixing the Problem
Once you've identified the cause, the fix is usually specific and actionable.
| Root Cause | Fix |
|---|---|
| Cooler bin position | Add supplemental heating, reposition bins, improve insulation |
| Overcrowding | Split overloaded bins; implement tighter density tracking |
| Feed access issues | Reposition feeders; increase feeding points per bin |
| Overfeeding | Reduce feed quantities; feed to consumption |
| Low protein feed | Switch feed or add protein supplement |
| Late harvests | Set harvest calendar reminders; use CricketOps harvest alerts |
| High mortality | Investigate disease or environmental cause |
FAQ
How do I identify which bins have the worst FCR on my farm?
Track FCR at the bin level for each production cycle (feed in ÷ cricket out). Sort bins by average FCR over the last 3-5 cycles. Bins consistently at the top of the FCR ranking are your investigation priorities. CricketOps does this calculation and sorting automatically from your bin feeding logs and harvest records. Without software, a spreadsheet with one row per bin per cycle and an average FCR column achieves the same result.
What is the fastest way to improve FCR in a single cricket bin?
Check feed protein content first, it's the most common cause of high FCR and the fastest to correct. If your feed is under 20% protein, switching to 22-25% protein feed often produces visible FCR improvement within one production cycle. After feed protein, check temperature (is this specific bin cooler than others?) and harvest timing (are you harvesting late?). These three variables account for the majority of bin-level FCR outliers.
Does CricketOps show FCR per bin automatically?
Yes. CricketOps Professional calculates bin-level FCR automatically from your feeding logs and harvest records. The analytics view shows FCR by bin across multiple cycles, lets you sort bins by FCR, and compares individual bins against your farm average. This is the functionality that makes bin-level optimization practical without spending hours in spreadsheets. See the cricket FCR calculator and FCR calculation guide for additional context on FCR tracking approaches.
How do I know if I am harvesting too early or too late?
Harvesting too early means crickets have not reached peak body mass, reducing yield per bin cycle. Harvesting too late means increased mortality from natural die-off and rising ammonia that degrades product quality. Most operations find their optimal harvest window by weighing a sample of 50-100 crickets at multiple points in the grow-out cycle and identifying the window where daily weight gain falls below a meaningful threshold.
Does harvest timing affect the nutritional profile of finished crickets?
Yes. Younger adults harvested earlier tend to show a higher protein-to-fat ratio. Older adults accumulate more fat. If your buyers specify a target protein percentage or fat content, aligning harvest timing to hit those specifications consistently is important. Running periodic proximate analyses on finished product batches helps you verify you are staying within buyer tolerances over time.
What is the best method for humanely killing crickets at harvest?
Freezing is the most widely used commercial method. Placing crickets in a freezer at 0°F or below causes rapid loss of consciousness and death. CO2 stunning prior to freezing is used by some certified-humane operations to reduce the duration before unconsciousness. High-temperature methods (blanching) are also used in some flour production operations. Consult your buyer's specifications and any applicable certification standards for the methods they accept.
Sources
- Food and Agriculture Organization of the United Nations (FAO) -- Edible Insects: Future Prospects for Food and Feed Security
- North American Coalition for Insect Agriculture (NACIA)
- Entomological Society of America
- Journal of Insects as Food and Feed (Wageningen Academic Publishers)
- USDA Agricultural Research Service
The Bottom Line
Bin-level FCR tracking is how you turn a farm-wide improvement goal into specific, actionable changes. Finding out your farm averages 2.1 FCR tells you something needs to improve but not where or why.
Finding out that bins 12, 15, and 22 all average 2.8+ FCR and that they're all on the north wall of your production room, which runs 4°F cooler in winter, tells you exactly what to fix.
Start tracking at the bin level. It takes 5 minutes per harvest to add the data. The insights it produces pay back many times over in feed savings.
Get Started with CricketOps
Consistent harvest timing and FCR improvement both require historical data on how your specific bins perform across the production cycle. CricketOps tracks growth milestones, logs harvest weights by bin, and builds the record that lets you identify which bins consistently hit your targets and which ones need attention. Try CricketOps on your next production cycle.