Agriculture & Farming Automations

Based on crop selection, field acreage, seed population rates, and the planned planting window, this automation generates a field-by-field planting schedule with equipment requirements and operator assignments. As planting progresses, operators submit brief daily field logs via mobile form, and the farm manager sees a live map of completed versus remaining acreage in real time. When harvest begins, the same system tracks field-by-field yield data as the combine reports it, compares actual yield against projected bushels, and flags underperforming fields for agronomic review, turning a spreadsheet that lives on one person's laptop into a shared, always-current operational picture.

Done by hand, this depends entirely on a farm manager remembering to check in, update records, and follow up, with no safety net if something slips. It's the kind of work that quietly eats hours every week.

When a crop scout submits a scouting report identifying pest pressure or disease above economic threshold (whether aphids, corn rootworm, white mold, or any flagged issue) this automation immediately notifies the farm manager and the designated agronomist, calculates the field acreage requiring treatment, generates a pre-filled pesticide application record, and schedules the application crew. The entire chain from "I found a problem" to "the sprayer is scheduled" happens automatically, rather than through a series of calls and texts that eat hours out of a narrow spray window when every hour of delay matters.

The manual version of this puts the entire workload on a crop scout, who has to juggle phone calls, emails, and spreadsheets just to keep things moving. Over a month, those small manual steps add up to a significant amount of lost time.

Each fall, this automation sends every grower in the rep's territory a personalized pre-season booking offer for seed, crop protection, and fertilizer, populated with last year's purchase history and any current early-pay incentives. Growers who book early receive automatic order confirmations and are added to a delivery scheduling sequence for spring. Growers who haven't responded by a set date receive a follow-up from the rep. The result is a pre-season order book that is substantially locked in before the competition can make their pitch, rather than chasing individual orders in the chaos of spring planting.

The manual version of this puts the entire workload on an agricultural sales representative, who has to juggle phone calls, emails, and spreadsheets just to keep things moving. Over a month, those small manual steps add up to a significant amount of lost time.

This automation maintains a calendar of every crop insurance reporting deadline (acreage reporting, production reporting, prevented planting claims, loss notifications) for every policy and every covered field. Reminders are sent to the farm accountant and the farm manager at 30 and 7 days before each deadline. When a loss event occurs, the system generates a checklist of required documentation, assigns tasks for field verification and yield sampling, and tracks completion until the claim package is submitted, ensuring that a covered loss doesn't become an unpaid claim because a deadline was missed or a document was missing.

Without a system in place, a farm accountant has to manually chase down updates, send reminders one by one, and hope nothing falls through the cracks. It's the kind of work that quietly eats hours every week.

Each animal in the herd is tracked by ID with a complete health record (vaccination dates, treatment history, weight gain, and breeding status) maintained automatically as events are logged via a mobile form in the field. When an animal is due for a scheduled vaccination or health event based on age or last treatment date, the livestock manager receives a task alert with the animal IDs, the protocol, and the required product. Withdrawal periods for treated animals are automatically flagged to prevent any medicated animal from being marketed before the withholding period has expired, a compliance issue with serious financial and legal consequences.

Done manually, a livestock manager has to remember to follow up on every case individually, often relying on memory, phone calls, and whatever notes didn't get lost.

By pulling hyperlocal weather forecasts for each individual field, this automation automatically notifies the farm manager the moment conditions line up for spraying, planting, or harvesting, including narrowing windows before a forecast shifts. It separately sends an advance warning ahead of frost, heavy rain, or high wind that would affect any field work already scheduled, giving the crew time to adjust the plan instead of getting caught out in the field.

Left unautomated, a farm manager spends hours on the parts of this job that don't require judgment: copying data, sending reminders, and tracking status by hand. Over a month, those small manual steps add up to a significant amount of lost time.

Tied to hour-meter readings on tractors and other equipment, whether logged manually or pulled from onboard telematics, this automation automatically schedules maintenance tasks at manufacturer-recommended intervals and orders the commonly needed parts ahead of the actual service date. Equipment stops going down in the middle of a critical planting or harvest window because maintenance was scheduled around the calendar instead of around the machine's actual usage.

Without this system, an equipment manager manually pieces together information from different places, then has to relay it to everyone who needs it. None of it is difficult, it's just slow, repetitive, and easy to fall behind on.

As seed, fertilizer, and chemical inventory is drawn down and logged against each field's application, this automation tracks usage against what's actually needed for the remaining planned acreage for the season. The moment projected usage suggests the farm will run short before the season's done, it automatically flags a reorder need to the operations manager, instead of the shortage surfacing mid-application when it's too late to source more in time.

Without automation, this falls entirely on a farm operations manager, who has to track every step by hand across emails, spreadsheets, and sticky notes. None of it is difficult, it's just slow, repetitive, and easy to fall behind on.

Based on data from ear tags, automated feed intake logs, or manual health checks entered by staff on a mobile app, this automation automatically flags any animal showing a reading outside the normal range, reduced feed intake, unusual movement patterns, for the herd manager to check personally. A minor issue gets caught and treated while it's still isolated to one animal instead of becoming a herd-wide problem discovered days later.

Done by hand, this depends entirely on a herd manager remembering to check in, update records, and follow up, with no safety net if something slips. It's the kind of work that quietly eats hours every week.

As harvest data is logged by field, this automation automatically compares actual yield against the season's projections, updates the available inventory figure for sale, and notifies the sales team of what's newly available to move. The field connects directly to the sales pipeline the moment the combine finishes a pass, instead of yield data sitting in a yield monitor for days before anyone manually updates what's available to sell.

Manually, a sales & operations manager is stuck doing repetitive follow-ups and data entry that could otherwise run quietly in the background.