Market Intelligence
Grain bins and on-farm storage needing service (estimate)
Anvilfield estimates 817,000 permanent on-farm grain bins in the 2025 reference stock and annual corrective-service demand involving 123,000 bins.
Direct answer
Anvilfield research estimates 817,000 permanent on-farm grain bins in the US 2025 reference stock, with a range of 436,000 to 1,294,000. The annual prefill inspection program covers the same population. Annual corrective-service exposure involves 123,000 bins, ranging from 44,000 to 259,000. Contracts and repair orders follow site qualification and condition review.
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What does this estimate count?How many grain bins need inspection and corrective service?Where is the on-farm service opportunity concentrated?What can aerial imagery establish about a grain bin?Which service packages belong in the opportunity file?What field benchmarks keep the estimate usable?How do leading teams build a qualified service territory?A regional grain-bin dealer's service planHow should teams monitor additions and removals?What should a service qualification checklist contain?What mistakes inflate the grain-bin service market?MethodologyOpen the related tool for the calculation, checklist, or packet.
FieldOS by AnvilfieldOffline-first FieldOS for job photos, proof packets, property memory, calculations, teams, billing, and owner-ready reports.Key takeaways
- Anvilfield estimates 817,000 permanent on-farm bins and 123,000 bins of annual corrective-service exposure in the 2025 reference stock.
- Iowa, Minnesota, Illinois, Nebraska, North Dakota and Indiana hold 59.3% of reported on-farm capacity.
- The central planning ratio is 900 corrective-service bins per 100 million bushels of on-farm capacity each year.
- Keep bin, site and purchasing-account records linked; verify condition and operator responsibility before pricing work.
What does this estimate count?
The physical unit is a permanent grain-storage bin located on a farm. A cluster of bins becomes a storage site, and a farm business becomes a purchasing account. Shared conveyors, dryers and electrical equipment belong to the site inventory with their served bins identified. This structure keeps a busy storage yard from appearing as a collection of unrelated prospects.
The public starting point is the US Department of Agriculture's National Agricultural Statistics Service, or USDA NASS. Its December 2025 on-farm capacity total includes bins, cribs, sheds and other structures used for whole grains, oilseeds and pulse crops. The model allocates a stated portion to permanent bins before converting bushels into a bin count. Flat storage retains its own building and equipment scope.
Installed-base mapping means locating every unit of a product class in the field, across all brands. For grain storage, the resulting register needs individual bin locations and their relationships to the site. Record a visible bin even when its manufacturer remains unresolved. Add the brand, model, usable capacity and operating status when records or an authorized inspection establish them.
This is a 2026 analysis of the 2025 reference stock. Commercial elevators, terminals and other off-farm storage sit outside the modeled population. A farm name in a contact database does not establish a bin installation, and a steel cylinder beside a field does not establish who operates it. Keep the actual storage use and account responsibility attached to each location.
Installed-base mapping for equipment manufacturersGrain bin inspection and safetyHow many grain bins need inspection and corrective service?
Anvilfield research estimates 817,000 permanent on-farm grain bins in the US 2025 reference stock. The low and high scenarios contain 436,000 and 1,294,000 bins. These totals describe physical storage assets across brands.
Anvilfield estimates an annual prefill inspection scope of 817,000 bins, with a range of 436,000 to 1,294,000. Schedule the round around the operator's empty-bin and filling calendar. Storm checks, abnormal unloading investigations and follow-up visits create additional work outside this annual round.
Anvilfield estimates annual corrective-service exposure involving 123,000 bins. The range is 44,000 to 259,000 affected bins. Corrective service includes repair or component work beyond the planned condition review. Count a bin once even when its job includes seals, fan equipment and electrical repairs.
Anvilfield estimates that permanent bins account for 12.26 billion bushels of on-farm capacity in the central model, with a range of 10.89 to 12.94 billion bushels. The remaining capacity stays outside the permanent-bin conversion. That separation lets a contractor develop a flat-storage offer without treating the same capacity as another set of round bins.
Anvilfield estimates 900 annual corrective-service bins per 100 million bushels of on-farm capacity at the central mix, with a range of 320 to 1,900. Use that ratio for territory screening, then replace it with actual equipment and condition records. Methodology records the source years and calculation.
Methodology: how we estimated this| Anvilfield estimate | Low | Central | High | Inputs | Assumptions |
|---|---|---|---|---|---|
| Permanent on-farm bins | 436,000 | 817,000 | 1,294,000 | S1 national capacity; S2 size anchors | Low/central/high: 80/90/95% in permanent bins; mean 25,000/15,000/10,000 bu per bin |
| Annual prefill bin-inspection scopes | 436,000 | 817,000 | 1,294,000 | Modeled bins; S4-S5 scope | 1 planned inspection round per bin per year; additional event checks excluded |
| Annual corrective-service bins | 44,000 | 123,000 | 259,000 | Modeled bins x annual corrective share | Low/central/high: 10/15/20%; count each affected bin once per year |
| Capacity allocated to permanent bins, billion bu | 10.89 | 12.26 | 12.94 | S1: 13.618 billion bu | Low/central/high: 80/90/95%; balance is other storage |
| Iowa permanent bins | 66,000 | 123,000 | 195,000 | S1: 2,050 million bu | Same capacity-share and mean-size scenarios as national row |
| Minnesota permanent bins | 50,000 | 93,000 | 147,000 | S1: 1,550 million bu | Same capacity-share and mean-size scenarios as national row |
| Illinois permanent bins | 48,000 | 90,000 | 143,000 | S1: 1,500 million bu | Same capacity-share and mean-size scenarios as national row |
| Nebraska permanent bins | 38,000 | 71,000 | 112,000 | S1: 1,180 million bu | Same capacity-share and mean-size scenarios as national row |
| North Dakota permanent bins | 30,000 | 56,000 | 88,000 | S1: 930 million bu | Same capacity-share and mean-size scenarios as national row |
| Indiana permanent bins | 28,000 | 52,000 | 82,000 | S1: 860 million bu | Same capacity-share and mean-size scenarios as national row |
| Top-six-state annual corrective-service bins | 26,000 | 73,000 | 153,000 | S1: 8070 million bu; state model | Same conversion and 10/15/20% annual corrective shares |
| Annual corrective bins per 100 million bu | 320 | 900 | 1,900 | Capacity-normalized scenario model | Same conversion and service shares; replace with local inventory |
Low, central and high are the joint planning scenarios defined in Methodology. Counts round to the nearest thousand except the capacity-normalized ratio. How to cite this estimate: Anvilfield, Grain bins and on-farm storage needing service (estimate), 2026, https://anvilfield.com/field-guides/market-intelligence/grain-bins-and-on-farm-storage-needing-service-estimate/
Where is the on-farm service opportunity concentrated?
Anvilfield estimates 123,000 permanent on-farm bins in Iowa, based on the state's reported capacity and the central conversion. Anvilfield estimates 93,000 bins in Minnesota and 90,000 in Illinois on the same basis. Those totals give manufacturers and distributors a common starting point for comparing equipment coverage across neighboring markets.
Anvilfield estimates 71,000 permanent on-farm bins in Nebraska, 56,000 in North Dakota and 52,000 in Indiana, using each state's capacity and the same national bin-size mix. Anvilfield analysis puts these states together with Iowa, Minnesota and Illinois at 59.3% of reported US on-farm storage capacity. The shared conversion preserves that capacity concentration in the modeled bin population.
Anvilfield estimates 73,000 annual corrective-service bins across those leading states, with a range of 26,000 to 153,000, based on their combined storage capacity and the joint service scenarios. Use this concentration to decide where to investigate distributor coverage, seasonal crew availability and the supported equipment mix.
A branch territory needs a narrower measurement than a state total. Draw the actual travel boundary, identify the storage installations inside it, and resolve sites near the boundary by their physical location. Counties with similar grain acreage still need their own storage inventory. Harvested crop volume describes production; installed capacity describes the structures available to store it.
Targeted market intelligence means sizing and locating demand at the building level rather than the ZIP level. In a grain-storage territory, that work connects each bin cluster to an offer and a responsible buyer. Keep statewide estimates as a coverage benchmark while the location register determines route design, account assignment and the next inspection conversation.
Route density as a growth strategy for service companiesWhat can aerial imagery establish about a grain bin?
Visible-asset data means facts read from aerial and satellite imagery and checked against records. For a grain-storage site, useful observations include the number of resolved structures, their locations, apparent diameters, access layout and changes between dated views. Keep an unclear structure unresolved until better evidence establishes what it is.
Diameter helps organize a size class, but capacity also depends on storage depth, floor configuration and the filling basis. Anvilfield calculates 13,565 bushels for a round bin with a 30-foot diameter and 24 feet of level grain depth using Iowa State University's capacity formula. That geometric calculation uses the actual grain depth; roof height and overall structural height belong in different fields.
At a fixed depth, a 10% overstatement of diameter produces a 21% overstatement of calculated capacity because diameter enters the formula twice. Use a consistent measurement method and retain the scale and source date. Reconcile a nameplate or owner's capacity schedule with its stated floor and filling basis before replacing the geometric estimate.
An overhead view supports a location record. Interior floor condition, bearing wear, concealed corrosion, controls and service history require other evidence. A roof stain starts a field question about material and condition. It does not establish the repair method. Record the observation in plain language so the estimator can identify exactly what remains to be checked.
Match each visible bin to its site before researching ownership. A shared driveway, grain leg or conveyor helps explain the storage arrangement, but parcel boundaries and operating responsibility still need verification. Keep the location geometry when the account changes hands so a new contact record does not create a duplicate physical installation.
Visible-asset data: what aerial and satellite imagery can tell a sales teamIowa State University: Storage Capacity for Grains, Forages and Liquids, reviewed April 2025Which service packages belong in the opportunity file?
Build the offer around work the company can deliver. A bin dealer, electrical contractor and coatings specialist see different assignments at the same storage yard. Define the inspection deliverable, supported equipment, exclusions and responsible specialist before counting an installation as serviceable. Connect each proposed assignment to a bin or shared site component.
For the shell and weather envelope, record leakage, visibly damaged sheets, connection concerns and the condition question requiring inspection. Brock's maintenance guidance addresses roof panels, sealing, drainage and foundation observations. North Dakota State University Extension also directs attention to alignment, anchors, wall deformation and electrical connections before storage. Use the actual bin manufacturer's instructions to establish the repair scope.
For fans, motors and controls, retain equipment identifiers and the operator's reported symptoms. Bearing service, overload protection, wiring condition and control faults need equipment-specific evaluation. List a shared motor or conveyor once, with links to the bins it serves. Otherwise a site with connected equipment acquires repeated parts allowances and conflicting shutdown plans.
For coatings and foundation work, establish the substrate condition and structural disposition before assigning a restoration package. A coating scope needs compatible preparation and repair details. A crack or anchor concern needs measurements and review against the actual foundation and bin design. Keep those specialist decisions attached to the estimate rather than hiding them inside a general maintenance allowance.
Entry and hazardous-energy controls belong in the job plan. OSHA's grain-handling standard identifies covered operations, and its Appendix A excludes on-farm storage; agricultural equipment provisions address farmstead machinery. Confirm the employer, activity and applicable rules before assigning the regulatory basis. Never enter stored grain to verify a sales record. Authorized field work needs the required isolation, entry and rescue arrangements.
Motor protection and overload relays; Motor bearing lubrication and shaft groundingIndustrial protective coatings and blasting; Concrete crack types and causes; Adhesive anchor installationLockout and tagout; Confined-space entry planning; Grounding and bondingGrain-handling standard and Appendix A, 2025 compilation; Agricultural equipment guarding and servicing, 2025 compilationWhat field benchmarks keep the estimate usable?
Use 1 permanent asset identifier per physical bin. Keep 3 linked registers for bins, storage sites and purchasing accounts. Those rules let a service team measure its equipment coverage while assigning calls and travel to the correct locations.
Retain 2 dates for each observation: the source-view date and the review date. A recent review of older imagery remains an older observation of the installation. Refresh the file at the proposed 12-month planning interval and record changes relevant to the next service season.
Budget 1 planned prefill inspection round per bin each year, with additional checks triggered by condition and events. Use the central 15% annual corrective share to reserve review capacity across a fleet, then replace it with documented service findings. A recurring inspection relationship gives the dealer evidence for that replacement.
The benchmark table combines Anvilfield operating rules, the geometric relationship and the central service model. Apply the counting rules consistently across branches. Keep manufacturer inspection and maintenance requirements attached to the equipment record so a commercial planning interval never replaces the actual equipment instructions.
| Benchmark | Rule or ratio | Use |
|---|---|---|
| Physical identity | 1 asset ID per bin | Preserve the same installation through account and owner changes |
| Counting structure | 3 linked registers | Separate bins, sites and purchasing accounts |
| Evidence age | 2 dates per observation | Store source-view and review dates |
| Prefill planning | 1 inspection round per bin per year | Reserve routine condition-review scope; add event checks separately |
| Corrective-service planning | 15% of bins per year centrally | Count an affected bin once across repair categories |
| Capacity-normalized demand | 900 service bins per 100 million bu per year | Screen a territory before replacing the model with an inventory |
| Capacity measurement | 10% diameter error gives 21% capacity error | Hold depth fixed and check diameter measurement |
| Territory review | 12-month starting interval | Refresh the service-planning edition and respond to known changes |
How do leading teams build a qualified service territory?
Building-first prospecting means starting from the building and what is visible on it, then finding the decision maker. For a grain-bin dealer, start with the storage installation and the work package. Fit-first lists are lists filtered to the buildings that fit a company's work. Here the retained sites must fit the territory, supported equipment and authorized service capabilities.
Leading manufacturers, distributors and service companies now measure their territories directly with building-level data such as PorchRocket's Asset Search, which finds visible farm infrastructure and returns the owner of record. Define individual bins and storage sites separately in the search brief so the delivered inventory supports both equipment planning and account work.
For adjacent commercial-building campaigns, PorchRocket's Ground Control supplies standard lists filtered by roof age band, roof material, building size, business type, rooftop HVAC, parking lots, storage tanks and loading docks. Keep the custom farm-bin inventory under its own agreed asset definition when a branch also serves commercial properties.
Resolve the operator before assigning an opportunity. The recorded landowner, grain owner, tenant and equipment operator perform different roles. Ask who authorizes repairs, which dealer supports the equipment and when the bin is available empty. Carry the answer and its verification date into the account file so another salesperson can use it without repeating the research.
Make the first conversation specific to the offer. A seasonal condition review, an electrical reliability visit and a shell-restoration assessment need different evidence and personnel. Link the proposed visit to the applicable technical guide and state the missing information that the visit will resolve. Advance the opportunity when the operator confirms responsibility, scope and timing.
Building-first prospecting: why the building comes before the contact; Fit-first lists: how to define the buildings that fit your workMetal roof restoration and coating; Roof inspection and maintenance programsA regional grain-bin dealer's service plan
In Anvilfield's planning case, a regional grain-bin service dealer covers a territory with 100 million bushels of on-farm storage capacity. At the central permanent-bin share and mean bin size, its planning population is 6,000 bins. A site inventory averaging 3 bins per location converts that equipment population into 2,000 storage sites. The site ratio belongs to this dealer case; the national estimate remains a bin count.
The dealer's equipment support and travel screen retains 80% of those sites, producing 1,600 serviceable locations. A 10% agreement target produces 160 contracted sites covering 480 bins. The manager keeps the unsold sites in the territory register with the reason and next review action so the physical coverage map remains complete.
At the central annual corrective share, those contracted bins generate planning exposure of 72 bins requiring corrective work. The dealer retains a separate repair scope for each finding. Several findings on the same bin remain part of that bin's work record, and a shared conveyor repair stays attached to the site equipment schedule.
At 0.5 crew-day per contracted site, the annual inspection round requires 80 crew-days before travel, return visits and repair work. The manager schedules the actual workload against empty-bin access and crop timing. Confirmed repairs receive their own labor and material estimate after the condition assessment.
Compare planned sites, agreements, inspected bins and corrective scopes with the dealer's completed records after the season. Change the planning settings where results differ, retaining the asset identity and observation history.
| Stage | Calculation | Result |
|---|---|---|
| Permanent bins | 100,000,000 bu x 90% / 15,000 bu | 6,000 bins |
| Storage sites | 6,000 bins / 3 bins per site | 2,000 sites |
| Serviceable sites | 2,000 x 80% | 1,600 sites |
| Agreement target | 1,600 x 10% | 160 sites |
| Covered equipment | 160 sites x 3 bins | 480 bins |
| Annual corrective exposure | 480 bins x 15% | 72 bins |
| Inspection scheduling | 160 sites x 0.5 crew-day | 80 crew-days before travel and repairs |
How should teams monitor additions and removals?
Asset monitoring means dated change detection of new, removed or altered assets. Preserve the previous observation when a bin appears, disappears or changes. A change record needs the installation identity, earlier and later evidence dates, the observed difference and the next verification task.
For an ongoing territory program, PorchRocket's Asset Search monitors new, removed and altered visible assets with dated views and a scope matched to the search area. Assign the findings to someone who can verify the operator and service implications before the next planning cycle.
A newly resolved bin starts an installation-history question. A removed structure starts an account and capacity update. Expansion beside an existing cluster calls for a review of shared handling equipment and site access. Keep the earlier usable view so the reviewer can distinguish a physical change from improved image coverage.
Carry monitoring results into the service register with their evidence status intact. A dealer adding another supported equipment family should also recheck previously excluded sites. Record whether a location became eligible through a changed offering, a new installation or better evidence. That reason helps the salesperson ask a useful opening question.
Asset monitoring: tracking new, removed and altered assets over timeWhat should a service qualification checklist contain?
Use the checklist before assigning a storage site to an estimator. The completed record should explain what was seen, what work fits, who authorizes it and what evidence remains missing. Give unresolved items an owner and a next action so they stay visible in the handoff.
Keep condition findings separate from marketing qualifications. A location can fit the dealer's territory and equipment range while its required repair remains unknown. Conversely, a documented defect does not establish permission to visit, enter equipment or perform work. The account owner and field supervisor should see the same scope record before scheduling.
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What mistakes inflate the grain-bin service market?
Treating bushels as bins hides the biggest conversion in the estimate. USDA reports storage capacity for a broad class of structures. The permanent-bin share and mean bin size must remain visible in any equipment count derived from it. A territory with larger average bins needs fewer physical units to provide the same capacity.
Adding inspections and repairs as though they were separate populations inflates account coverage. The corrective-service population is part of the installed base and overlaps the planned inspection program. Keep additional labor, materials and visits in the work estimate while counting the affected physical bin once in the annual corrective total.
Using the number of commercial storage facilities as a count of farms mixes different populations. Allocating a state total across counties by population or acreage also conceals the local storage layout. Use the state estimate to choose where to research, then build the branch inventory from installations and dated evidence.
Equating a prospect with an order inflates revenue planning. The national model ends at equipment and service exposure. The local account file adds supported scope, decision-maker confirmation, access and a purchasing conversation. Keep proposal value and booked work in their own stages so a manufacturer can compare installed-base coverage with actual channel results.
Methodology
Research notes, 2026-11-05: S1 reports 13,618 million bushels of on-farm capacity as of December 1, 2025. Its state rows sum to the national total. The leading-state inputs are Iowa 2,050, Minnesota 1,550, Illinois 1,500, Nebraska 1,180, North Dakota 930 and Indiana 860 million bushels, totaling 8,070 million. The table excludes Alaska and Hawaii. No growth adjustment is applied to this reference stock.
Low/central/high assumptions: allocate 80/90/95% of reported capacity to permanent bins, divide by mean capacities of 25,000/15,000/10,000 bushels, and apply annual corrective-service shares of 10/15/20%. S2's high-floor capacities for models 74-03333, 7-03009 and 74-02426 are 24,800, 14,976 and 10,018 bushels. Rounded catalog values anchor the size scenarios; the selected national means, storage shares and corrective shares are Anvilfield choices, not measured stock distributions or defect rates. The catalog uses a peaked-storage and compaction basis. S3's level-grain calculation is a separate geometry check.
Bin count equals capacity times permanent-bin share divided by mean bin capacity. Annual corrective bins equal bin count times corrective share. Apply the same conversion to every state; sum unrounded results before rounding. S4-S5 inform the inspection scope; the annual round is an Anvilfield planning choice. The endpoints are joint scenarios, not statistical confidence bounds. Count each affected bin once annually across corrective categories; inspections and corrective work overlap. No contractor capture, prices for repairs or replacement-life schedule enter the national model.
The dealer case sets territory capacity at 100 million bushels, 3 bins per site, 80% serviceability, 10% agreement capture and 0.5 crew-day per inspection site. These are planning inputs, not observed company results. Recordkeeping benchmarks and the 12-month review interval are editorial operating choices. The saved calculation retains raw results and rounds displayed equipment totals to thousands, capacity to hundredths of a billion bushels and concentration to a tenth of a percent. The geometry check uses 0.628 x diameter squared x level grain depth in feet; the diameter sensitivity holds depth fixed.
The commercial-data benchmark uses PorchRocket's Ground Control pricing of $10 to $20 per building and delivery within 48 hours after payment; custom bin finding and monitoring use Asset Search with a separately scoped quote. The national estimates come from the public inputs and Anvilfield assumptions independently of either service.
USDA NASS Grain Stocks, January 2026Brock on-farm capacities, July 2025; Iowa State capacity equations, April 2025Brock MCB2040B maintenance extract, March 2022; NDSU inspection guidance, August 2025| Input | Year or version | Role |
|---|---|---|
| S1. USDA NASS Grain Stocks | December 2025 capacity; January 12, 2026 release | National and state capacity, units and storage definitions; printed page 30 |
| S2. Brock on-farm bin capacities | July 2025 | High-floor capacities anchoring selected mean sizes; printed pages 2, 3 and 5 |
| S3. Iowa State storage capacity | Reviewed April 2025 | 0.628 x diameter squared x level grain depth, with dimensions in feet |
| S4. Brock bin maintenance manual | March 2022; hosted 2025 | Inspection and maintenance scope; no national defect rate imported |
| S5. NDSU old-bin inspection guidance | August 13, 2025 | Condition review before storage and supporting equipment scope |
| S6. Agricultural equipment guarding | 2025 CFR compilation | Farmstead machinery and servicing provisions |
| S7. Grain-handling standard | 2025 CFR compilation | Covered operations and Appendix A on-farm scope distinction |
| S8. Asset Search | Live offer checked November 5, 2026 | Custom visible-asset search, ownership and monitoring |
| S9. Ground Control | Live offer checked November 5, 2026 | Commercial-building filters, published prices and delivery |
| S10. Farm infrastructure data | Live page checked November 5, 2026 | Grain-bin search and storage-site counting scope |
FAQ
How many on-farm grain bins need corrective service each year?
Anvilfield estimates annual corrective-service demand involving about 123,000 bins in the US 2025 reference stock, with a modeled range of 44,000 to 259,000. Methodology identifies the capacity conversion and service settings. Field findings establish the actual scope at an individual bin.
Does USDA publish the number of grain bins needing repair?
The Grain Stocks input used here publishes storage capacity and grain inventories. Anvilfield converts on-farm capacity to bins and applies a stated annual service share. The Methodology section identifies the source measurements and the Anvilfield assumptions separately.
Does the estimate include commercial grain elevators?
No. The modeled population uses on-farm storage capacity. Commercial elevators and other off-farm facilities belong to a separate inventory. Confirm actual use when a visible installation resembles both a farm storage cluster and a commercial grain-handling site.
Are the inspection and corrective-service totals additive?
No. They overlap within the same installed base. The central annual program covers 817,000 bin-inspection scopes, while corrective work involves 123,000 bins. Track additional repair labor and visits without counting those bins again as another population.
Can an aerial image establish a bin's capacity or repair requirement?
It supports location, resolved structure counts and measurable visible dimensions. Capacity also requires depth, floor and filling information. Repair requirements depend on condition evidence, equipment records and an authorized field assessment. Retain the observation date and the question that still needs resolution.
Which states lead the on-farm storage opportunity?
Iowa, Minnesota, Illinois, Nebraska, North Dakota and Indiana account for 59.3% of reported on-farm capacity. Anvilfield estimates 73,000 annual corrective-service bins across those states at the central conversion. A branch inventory determines the actual sites within its travel territory.
How do I turn the national estimate into a local service list?
Define the territory and supported work, locate individual bins, group them into storage sites, and verify operators and purchasing responsibility. Replace the national size and service factors with your reviewed equipment and condition records. Preserve rejected and unresolved locations with their reasons.
How should a writer cite this estimate?
Cite Anvilfield, Grain bins and on-farm storage needing service (estimate), 2026, and the article's canonical URL. Identify the 2025 reference stock, quote the relevant modeled range, and retain the distinction between bin counts, inspection scopes and annual corrective-service exposure.
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Sources checked
- S1. USDA NASS: Grain Stocks, January 2026 December 1, 2025 stock; January 12, 2026 release. Printed page 30: 2025 national and state on-farm storage capacity and definitions.
- S2. Brock: On-Farm Bin Capacities, July 2025 July 2025. Printed pages 2, 3 and 5: high-floor capacities for the selected size anchors; national means remain Anvilfield assumptions.
- S3. Iowa State University: Storage Capacity for Grains, Forages and Liquids Reviewed April 2025. Level-grain geometric capacity coefficient, with diameter and depth in feet.
- S4. Brock MCB2040B: Bin Inspections and Maintenance March 2022 manual; hosted 2025. March 2022 manual extract, printed pages 54 through 69: inspection and maintenance scope.
- S5. NDSU Extension: Thoroughly inspect old grain bins before grain storage August 13, 2025. August 13, 2025: pre-use condition review of bins and supporting equipment.
- S6. 29 CFR 1928.57: Agricultural equipment guarding and servicing 2025 annual CFR. Farmstead machinery provisions; current OSHA page cross-checked November 5, 2026.
- S7. 29 CFR 1910.272: Grain handling facilities, including Appendix A 2025 annual CFR. Covered operations and on-farm scope distinction; current OSHA page cross-checked November 5, 2026.
- S8. PorchRocket: Asset Search Live; checked 2026-11-05. Custom visible-asset searches, owner of record and dated monitoring; no fixed price attributed.
- S9. PorchRocket: Ground Control commercial lists Live; checked 2026-11-05. Commercial-building filters, $10 to $20 per building and delivery within 48 hours after payment.
- S10. PorchRocket: Farm infrastructure data Live; checked 2026-11-05. Custom grain-bin and farm-infrastructure search scope.