Our Industries / AI In Agriculture

Agriculture Industry

US agriculture runs on scale — large acreages, expensive equipment, and thin margins that punish inefficiency. SmartNet LLC builds AI systems for commercial farm operations and agribusinesses that need to squeeze more consistent yield and lower input costs out of large, mechanized operations.

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For agri-business, packers and exporters

Our work in agriculture is on the commercial side rather than in the field — grading, inventory, traceability and the buyer relationship. Packhouses, processors, exporters and cooperatives handling volume.

What we build

Intake and grading

Weight, grade, moisture and origin captured at receipt, tied to the grower, so settlement is calculated rather than negotiated from memory.

Inventory by lot

What is in which store, at what grade, and how long it has been there. Perishable inventory that nobody can see gets sold in the wrong order.

Traceability

Grower to lot to shipment. Increasingly a condition of sale for export buyers rather than a nice-to-have, and far cheaper to build in than to reconstruct when a buyer audits you.

Buyer portals

What is available, at what grade, with documentation attached. Removes a large volume of email and the errors that live in it.

Grower settlement

Statements growers can read and check themselves, which resolves most disputes before they start.

Built for how the work actually happens

Intake happens in a shed with poor signal and gloved hands. Anything we build for that environment works offline, syncs later, and uses controls big enough to operate without removing a glove. Software that assumes a desk does not survive the first week.

Both languages, on the same records

Grower-facing screens and statements in one language, buyer-facing documents in another, over one set of records. For anyone shipping from Latin America to North American or European buyers, this is the normal case rather than the exception.

Start at intake

Everything downstream is only as good as what gets recorded when the truck arrives.

The Next Phase of Agricultural AI in the US

Autonomous and semi-autonomous farm equipment is moving from pilot programs to commercial deployment. SmartNet is building the data and decision layer that sits underneath that automation, since the hardware is only as good as the model directing it.

Carbon credit and sustainability reporting requirements are also creating new demand for AI systems that can verify and document farming practices at scale. SmartNet is building toward that reporting need as it becomes commercially relevant.

Talk to SmartNet LLC about applying AI to commercial-scale farm operations and agribusiness supply chains.