DALTEX, one of the world's largest fresh potato exporters, has deployed ORTH's AI agronomy platform across its operations, with the aim of raising yields, improving quality and cutting losses.

Founded in 1964, the Egyptian group runs its business from seed to shelf. It manages more than 54,000 acres, employs more than 9,000 people and produces over 500,000 tons of fresh produce and processed products a year, exporting more than 300,000 tons annually to over 75 countries.

ORTH brings DALTEX's field records, crop histories, input and irrigation data and agronomic know-how together in one place. Agronomists and crew leaders ask questions in plain language and get specific answers, such as which product to use, at what dose and when, drawn from DALTEX's own data. The platform also combines that data with weather forecasts, satellite imagery and compliance data to predict risks, and sends alerts to the right team before yield or quality is lost.

"ORTH has been critical in enabling our production teams to weigh a massively diverse set of inputs all at once and make the right decision," said Ibrahim Elnaggar, Director of Operations at DALTEX. "In agronomy, that has to happen quickly and at scale — and in a fast-paced season, faster calls and quicker communication across teams are everything. You need a copilot, and that's exactly what ORTH is for."

The companies say the results should show up from the field to the customer: higher and more consistent yields, export-grade quality season after season, less wasted water and inputs, and fewer losses between planting and shipment.

"DALTEX is showing what AI deployed at scale looks like in agriculture," said Hassan Fayed, Founder and CEO of ORTH. "Their agronomists and field crews now work from a single, clear view of the farm, with expert support at their side, and the impact is showing up where it matters most: yield, quality and reducing losses."

ORTH is used by more than 300,000 growers worldwide across crop nutrition, crop protection, irrigation and quality management. More than half of its users say it is now their primary source of agronomic decision-making, and over 73% of surveyed users report that it has helped them improve yields, avoid losses and improve quality.

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