Agriculture doesn't fail at harvest.
It fails in the months no one was watching.
The sensors read the data. Nothing acted on it before the loss was locked in.
Grain bin temperature spiked overnight. 40,000 bushels at risk.
Bin 44 crossed the safe storage threshold at 02:14. Nobody knew until the morning check at 08:30. Six hours of spoilage exposure on 40,000 bushels — because the monitoring system had no workflow behind the alert.
Tractor broke down mid-harvest. Parts are 3 counties away.
JD-8R was 40 hours past its service interval. The PM was on a whiteboard nobody checked. Day three of harvest — 14 hours of downtime at peak yield. Emergency contractor at emergency rate.
FSMA 204 deadline is July 2028. Your lot traceability is a notebook.
The rule demands digital, defensible chain-of-custody records for every lot on the Food Traceability List. Your current system: paper harvest records, a spreadsheet, and a phone call to the field supervisor who remembers which block it came from.
70% of freshwater goes to agriculture. Nobody's measuring per-field.
Soil moisture sensors in every block. Irrigation still scheduled on a calendar. The data exists — it just never connects to a run decision without a person in the middle reading a chart at 09:30.
The gap is not more field sensors or another farm management app. It is that your equipment, bins, pivots, and cold stores were never digitally alive — they cannot report their own condition, trigger seasonal workflows, or hand themselves to an AI that optimizes the harvest window.
HOW WE DO IT
One Operating System. Built for the way agriculture actually operates — across fields, facilities, seasons, and the compliance obligations that span all three.
Not another precision ag sensor layer. A complete operational foundation — hardware, connectivity, identity, workflows, and AI — that makes every asset, batch, and workflow digitally alive from field to distribution.
Locate & Sense
Every piece of equipment, attachment, tool, truck, and trailer — tracked by location and operational state across yards, fields, and facilities. Every bin, tote, pallet, picking tray, and returnable container — tracked by RTLS. Every irrigation zone, pump station, and water storage asset — monitored for flow, pressure, and run state. Every cold room, packing area, and storage zone — monitored for temperature, door events, and power state. Input storage tanks, chemical containers, and fertiliser inventory — tracked by level, location, and expiration status.
Run scheduled automatically | WO-IRR-441 created
Normalize
Viaanix devices, partner sensors, RTUs, telematics feeds, irrigation controller outputs, cold chain loggers, and data from existing ERP and pack house management systems — we ingest it all into one consistent operational model. Replace a sensor vendor, add a new facility, integrate a new season's crop programme — the operational fabric stays intact.
Vendor protocols: 11 | Unified: ✅
Digitalize
Once connected, every asset gains a digital identity — a governed record of what it is, where it has been, every movement, every assignment, every inspection, every maintenance event, every input application, and every handoff across the supply chain. Every harvest lot gains a traceable lineage — field block, harvest date, operator, pack line, cool room, and outbound destination — assembled automatically at each event.
WO-14402 created | Harvest start: March 28
Execute in ArgusIQ™
ArgusIQ™ is the hub. Built-in CMMS and work orders manage equipment and infrastructure maintenance across every season. Ticketing and workflows orchestrate irrigation run decisions, equipment service scheduling, bin exception management, cold chain hold and release, input inventory reorder, traceability event capture, food safety inspection closure, and compliance record management. SOPs, food safety procedures, equipment manuals, irrigation schedules, and compliance checklists live inside ArgusIQ™ as a searchable knowledge base.
Teams online: Field (6) Pack (8) Maintenance (4)
Automate With AI and Orchestration
Ask Argus queries live operational data in plain language — "which fields had irrigation exceptions this week and what actions were taken?" — grounded in your actual sensor records, workflow history, and work order data. ArgusOps provides multi-site, multi-season command dashboards. ArgusForge creates new workflows without new software purchases. ArgusAI brings full AI on-premises and fully offline for rural operations where connectivity is intermittent or unreliable — because the field operation should not stop when the signal does.
REAL OUTCOMES
You'll recognise your operation in these.
These are not hypothetical scenarios. They are the exact execution gaps, window failures, and compliance exposures your teams navigate every season.
“Block 12 crossed the deficit threshold at 06:14. The irrigation run scheduled itself. The agronomist arrived to a system that had already acted.”
The Scene
Block 12 soil moisture sensors have been installed for three seasons. Every morning the irrigation agronomist checks the dashboard, reviews the readings across forty blocks, and decides which zones need a run today. On a busy week — during pre-harvest canopy management — the morning check happens at 09:30, two and a half hours after the earliest optimal irrigation window has passed.
With Viaanix
Soil moisture rules are configured in ArgusIQ™ against threshold values and time-of-day irrigation windows. At 06:14, Block 12 crosses the deficit threshold. The irrigation run is scheduled for the 07:00 window automatically. At 06:41, the zone valve pressure reading shows an anomaly — ArgusIQ™ creates Work Order WO-IRR-441 for the valve before the run begins. The agronomist arrives at 07:30 to a system that has already scheduled the run, flagged the valve, and logged both events.
What Does Not Happen
A 09:30 irrigation decision made on data from 06:00. A missed optimal watering window on a day when the canopy needed it most. A valve fault discovered mid-run instead of before it.
Irrigation scheduling lag: from 2–3 hours (human-initiated) to under 5 minutes (rule-triggered).
Agronomist intervention: 0 | Status: SCHEDULED
“Harvest begins in eleven days. Combine C-4 was serviced before the window opened — not after it failed on day two.”
The Scene
Harvest begins in eleven days. The fleet manager reviews the equipment list and notes that Combine C-4 is approaching its service interval but is not past it yet. He adds it to the list for next week. On day two of harvest, C-4 develops a hydraulic fault — a secondary symptom of the deferred service. It is down for fourteen hours. A contractor combine is sourced at emergency rate.
With Viaanix
Combine C-4 engine hours are tracked via telematics integration in ArgusIQ™. When the pre-harvest service threshold is reached on March 14th, Work Order WO-14402 is created automatically with the full service schedule, required parts, and a service window recommendation of fourteen days pre-harvest. Parts are confirmed in the workshop inventory. The service is completed March 19th. C-4 enters harvest with a clean service history. The hydraulic fault never develops.
What Does Not Happen
A day-two harvest failure. A fourteen-hour downtime at the worst possible moment. An emergency contractor at emergency rate. A quality downgrade on late-harvested product.
Pre-season equipment readiness: verified by the system. Harvest window failures from deferred maintenance: zero.
Harvest start: March 28 | Status: READINESS VERIFIED
“The bin was found in six seconds. The pack line never stopped.”
The Scene
Pack Line 2 is running at capacity on a Tuesday afternoon. The lot scheduled for the next intake — Field 7, harvest batch HB-221 — is supposed to be in the staging area outside the pack house. It is not there. A supervisor calls the field operations team. Nobody knows which driver moved it or where. Twenty-two minutes later, the bin is found in Cold Room Zone 3.
With Viaanix
HB-221 carries a digital identity with a continuous RTLS location trail. When the pack line supervisor queries ArgusIQ™ before the scheduled intake, the result returns: HB-221 — Cold Room Zone 3, Row 2, confirmed 4 minutes ago. The retrieval team is directed there immediately. The bin arrives at the pack line before the scheduled intake slot. The line does not stop.
What Does Not Happen
A twenty-two-minute search during a peak-capacity shift. A pack line that stops and waits. A shift that runs short because the throughput window passed while the bin was being located.
Bin locate time: 6 seconds. Pack line stops: zero.
Query time: 6 seconds | Pack line stop: 0 min
“The cold room breached at 02:19. The hold was in place by 02:20. The morning crew arrived to a complete incident record.”
The Scene
Cold Room 2 experiences a door-seal failure overnight. Temperature rises above the safe storage threshold. The event is detected by the data logger at 02:19. Nobody is monitoring overnight. The morning crew arrives at 06:00. At 06:45, a supervisor begins reviewing which lots were in the room. At 08:30, a hold is placed on two lots — after five and a half hours of potential quality and compliance exposure.
With Viaanix
Cold Room 2 temperature is monitored continuously in ArgusIQ™. At 02:19, the threshold breach triggers an automatic cold chain hold workflow. The affected lots — identified from the room's current occupancy record — are tagged HOLD immediately. The QA manager receives a notification at 02:20 with the excursion timestamp, current temperature, affected lot identifiers, and the hold confirmation. When the morning crew arrives, the incident record is complete, the hold is already in place, and the door-seal work order has been created.
What Does Not Happen
Five and a half hours of undetected excursion. A hold decision made on incomplete lot information. Product shipped from a hold lot because the hold was not in place when the outbound crew began loading.
Detection-to-hold time: under 2 minutes. Audit record: system-generated, complete before the first person arrives.
QA notified: 02:20 | Status: HOLD — AUDIT COMPLETE
“847 bins deployed. 831 recovered. Previous season loss rate: 26%. This season: 2%.”
The Scene
847 harvest bins deployed at season start across five blocks and three contract harvest crews. At season end, the farm recovers approximately seventy percent of the bins deployed. The remaining thirty percent are at the transport contractor's yard, at a neighbouring farm, and in an anonymous stack behind the secondary pack house.
With Viaanix
Every harvest bin carries a digital identity with a continuous RTLS location trail through ArgusIQ™. At season end, the bin recovery query returns the last confirmed location of every bin. Fourteen bins at the transport contractor: flagged for collection. Two bins at a neighbouring property: identified via RTLS. Total recovery: 831 of 847. The previous season's loss rate drops from twenty-six percent to two percent.
What Does Not Happen
Replacement purchases for containers that are physically present somewhere in the supply chain but invisible to the farm. A year-two season that starts with a bin shortage because year-one losses were never traced.
Bin recovery: 98% (up from 74% untracked). Replacement cost avoided: significant.
“Tank F-7 crossed the reorder threshold on Monday. Delivery arrived Wednesday. The spray programme never stopped.”
The Scene
Spray season begins. Tank F-7, the primary herbicide storage unit, is drawn down faster than the spray season plan predicted. The agronomist estimates three to four days of stock remaining. The reorder is placed Thursday afternoon. Standard delivery: four business days. Friday: spray programme on hold. Five spray days lost during the optimal application window.
With Viaanix
Tank F-7 level is monitored continuously in ArgusIQ™. When the level crosses the configured reorder threshold on Monday at 11:08, a reorder workflow is triggered automatically. Delivery arrives Wednesday morning. The spray programme continues without interruption.
What Does Not Happen
Five spray days lost during the optimal application window. A spray programme that runs into a period when the crop is past the optimal treatment stage.
Reorder trigger: automatic at threshold. Spray programme interruption: zero days.
“Every work order closed with proof. Every maintenance record exportable. Audit package assembly: minutes, not days.”
The Scene
A water authority audit requires twelve months of irrigation infrastructure maintenance records. The records exist — in a combination of technician notebooks, a shared spreadsheet, and three paper work order copies in a folder on the irrigation shed desk. Assembly time for the audit package: two days.
With Viaanix
Every work order in ArgusIQ™ requires closure evidence before the record can be marked complete. When the technician completes the P-3 pump service at 14:22, they capture a post-service photo and a condition note inside ArgusIQ™. The work order closes with technician identity, completion timestamp, service items, and evidence attached — all linked to the pump's digital identity and its full maintenance history. The twelve-month maintenance record is a single export.
What Does Not Happen
A two-day audit package assembly from notebooks and spreadsheets. A water authority finding about documentation inadequacy.
Audit prep time: minutes, not days. Documentation gaps: zero.
“The pack line knew what was coming. All three lots confirmed, located, and cleared before the shift supervisor arrived at 08:00.”
The Scene
A pack house shift begins. Pack Line 1 is scheduled to process three harvest lots. The second lot is at the wrong staging zone — moved by the overnight cool room crew. The third lot's quality hold from yesterday's cold chain event has not been cleared in the system. Line utilisation for the morning: sixty-one percent.
With Viaanix
The pack line schedule is verified against lot locations and hold status in ArgusIQ™ at 07:45. Lot 2 is flagged as staged at Zone C, not Zone A — an automatic exception creates a redirect task. Lot 3 shows hold status cleared by the QA manager at 06:22 with a release note attached. The shift supervisor enters at 08:00 with all three lots confirmed, located, and cleared.
What Does Not Happen
A mid-shift discovery that a lot is at the wrong zone. A hold status confusion that takes forty minutes to resolve. A morning shift at 61% utilisation.
Line utilisation: 94% (up from 61%). Pre-shift exceptions resolved: all.
“The pump bearing was failing at 22:41. The mechanic was notified at 22:42. Six blocks irrigated on schedule the next morning.”
The Scene
Irrigation peak season. Pump Station P-2 serves six high-value blocks on a daily irrigation schedule. At 22:41, a bearing begins to fail. Under standard monitoring, it is not detected until the pump trips during the 05:00 irrigation start. Six blocks miss their morning irrigation window during a heat event.
With Viaanix
Vibration monitoring on P-2 feeds continuously into ArgusIQ™. At 22:41, the vibration signature crosses the bearing fault threshold. Work Order WO-8801 is created automatically. The on-call mechanic is notified at 22:42. Bearing replacement is completed by 06:30. The 07:00 irrigation schedule runs on all six blocks.
What Does Not Happen
A pump failure at the start of the morning irrigation cycle during a heat event. Six high-value blocks missing their window. An emergency repair from a technician two hours away.
Pump failure prevented. Six blocks irrigated on schedule. $23K+ in avoided emergency repair and yield loss.
“The recall notification arrived at 10:44. Full lot trace complete at 10:48. Four minutes.”
The Scene
A produce recall notification arrives at 10:44. The implicated lot — L-902 — is a field-packed stone fruit batch from the previous week. The traceability team begins cross-referencing harvest records, pack house lot logs, cool room intake forms, and outbound shipping records. By 14:30, a partial lot trace has been assembled. Full trace complete: Thursday morning.
With Viaanix
Lot L-902 has a complete digital lineage in ArgusIQ™ assembled automatically at each Critical Tracking Event: Field 7, Block 4, harvest date and operator — Pack Line 2, intake time, pack crew — Cold Room 3, rack position, intake temperature — Outbound Dock 2, shipping timestamp, carrier, and three customer destinations. At 10:44, the recall notification triggers a lot query. Complete trace returned at 10:48. Customer notification drafts ready at 11:05. The FDA-required Key Data Elements are in the record at the moment of the query.
What Does Not Happen
A three-day partial trace from paper records. An FDA finding that the traceability record is incomplete. Product remaining in distribution channels for two days longer than necessary.
Full lot trace time: 4 minutes. FSMA 204 Key Data Elements: complete, system-generated, defensible.
Full trace: 4 min | FSMA 204 KDEs: ALL PRESENT
“The application record was complete at the time of the event. The restricted-entry interval enforced itself.”
The Scene
A restricted-use pesticide is applied to Block 9. The application record — required by regulation — is a paper form completed by the applicator at the end of the day from memory. The restricted-entry interval is noted verbally to the field crew supervisor. Whether the crew respected the interval the following day is not recorded.
With Viaanix
The chemical application workflow in ArgusIQ™ is initiated by the applicator at the start of the job. Operator badge confirms identity and certification status. Tank F-7 draw volume is logged from the level reading. Block 9 is confirmed as the target. At job completion, the restricted-entry interval is set in ArgusIQ™ as a governed zone rule — a geofence that alerts if any crew member enters Block 9 before the interval expires. The compliance record is complete at the moment of application.
What Does Not Happen
An application record completed from memory with approximate volumes. A restricted-entry interval that exists as a verbal instruction nobody verified. A regulatory inspection finding.
Application record: complete at time of event. REI enforcement: automated geofence.
Paper forms required: 0 | Status: COMPLIANT
“The weekly operations review was replaced by a query at 06:45. Decisions made, not deferred.”
The Scene
Weekly operations meeting. Irrigation, equipment, pack house, cold storage, and compliance each report status from their own systems. Four systems, four reports, assembled by four people the afternoon before. Meeting duration: ninety minutes. Decisions: deferred pending more complete data.
With Viaanix
Ask Argus: "Which fields had irrigation exceptions this week and what actions were taken — and flag any equipment approaching service intervals before the next harvest window." Live answer, grounded in actual sensor records, workflow history, work order data, and equipment telematics across every block and every asset. Available at 06:45 before the first person arrives at the meeting. Decisions are made, not deferred.
What Does Not Happen
A ninety-minute meeting that produces deferred decisions. An equipment readiness question that requires three phone calls to answer. A harvest window that begins without a verified equipment readiness record.
Operations review cycle: from weekly deferred decisions to daily verified actions.
THE PLATFORM IN ACTION
This is what your operation looks like when every asset is digitally alive.
Live telemetry, governed workflows, and AI — running across fields, grain bins, irrigation pivots, cold stores, and pack houses. One Operating System.
Block 7
28min
Block 12
24min
Block 18
31min
Pivot 3
19min
Block 22
30min
Pivot 7
22min
Harvest window: Thursday | Readiness: 88%
BUILT FOR WHAT COMES NEXT
Autonomous irrigation, robotic harvest, AI-driven crop management, and remote precision operations are entering agriculture at scale. Is your Operating System the foundation they need to run?
Autonomous systems do not run on dashboards. They run on identity, location, state, field conditions, lot traceability, and governed rules that trigger the right response to every condition — without a human in the loop for routine execution. Every Viaanix deployment is autonomy-ready by default.
Autonomous Irrigation Management
Soil moisture sensors, weather data, and crop ET models feed ArgusIQ™ continuously — irrigation schedules self-execute against threshold rules — pump and valve work orders are created automatically when anomalies interrupt the scheduled run — water use records assemble themselves at every event. The agronomist manages the exception, not the schedule.
Robotic Harvest Integration
Robotic harvest platforms and selective picking systems consume task queues and field state data from ArgusIQ™ — block readiness, lot assignment, staging zone availability — without custom integration per robotic platform. The Operating System is the coordinator. The robot is the executor. The lot traceability record is created by the harvest event.
AI Crop and Quality Management
Ask Argus monitors field performance, cold chain records, and quality outcomes continuously — surfacing patterns and root causes in plain language. "Which cold rooms have had the most excursions this season and what lots were affected?" is a query, not a post-season investigation.
Offline and Remote Intelligence (ArgusAI)
ArgusAI brings the full ArgusIQ™ Operating System and complete AI capability to remote properties, offline rural operations, and facilities where connectivity is intermittent, seasonal, or unavailable. Full intelligence. Full governance. No cloud dependency.
The irrigation decisions your agronomists make manually today become the self-executing schedules your autonomous irrigation system runs tomorrow. You are not building toward autonomy. You are already building the foundation it requires.
WHAT THIS COSTS NOT TO HAVE
Agriculture's losses are not dramatic failures. They are seasonal, repeatable, and compounding — water wasted across forty blocks, equipment that failed during the window, bins that took an hour to find, lots that took three days to trace.
Spoilage Loss
Equipment Uptime
FSMA Readiness
Water Efficiency
WHY VIAANIX
Not another vendor. A different foundation.
RTLS-First Truth — Field to Cold Store
Every piece of equipment, bin, lot, irrigation zone, and cold room — tracked by location and operational state across yards, fields, pack houses, and facilities. One truth layer from the first irrigation run to the last outbound shipment.
One OS — Field to Distribution
Irrigation, equipment maintenance, harvest logistics, cold chain, input management, food safety traceability, and labour accountability — one ArgusIQ™ Operating System. Not six software purchases. One platform, one data model, one audit trail.
FSMA 204 Ready Before the Deadline
Key Data Elements captured at every Critical Tracking Event — automatically, at the time of the event, as a natural output of running the operation. The compliance record is not a separate process. It is the operational record.
AI Grounded in Your Operation
Ask Argus answers questions about your fields, equipment, lots, and cold chain because it is grounded in your actual operational records. ArgusAI brings full AI on-premises and offline for rural operations where connectivity cannot be assumed.
Deployment Options
Cloud
Fully managed SaaS. Fastest path to production for operations with reliable connectivity.
Private Cloud
Dedicated tenant for ag enterprises with food safety data residency or supply chain partner isolation requirements.
On-Premises
Full ArgusIQ™ inside your own facility infrastructure. For operations where data sovereignty is a requirement.
Air-Gapped (ArgusAI)
Complete OS and full AI for remote farms and offline facilities. Full intelligence. Full governance. Zero cloud dependency.
You don't have a data problem. You have an execution problem. And it has a solution.
Every combine that went down during harvest because the PM was overdue by forty hours and nobody had flagged it. Every bin that took twenty-two minutes to find in a yard where it had been the entire time. Every irrigation run that happened two hours after the optimal window because someone checked the dashboard at 09:30. Every lot that took three days to trace under recall pressure because the traceability record was assembled from four sources that were never connected. Every cold chain excursion that was discovered six hours after it started because nobody was watching at 02:19. These are not technology gaps. They are execution gaps. They close when every asset has a digital identity, every condition triggers a governed workflow, and every team runs on the same operational truth.