Cornell Secured $7.5 Million for Orchard Robotics

The USDA grant will fund a four-year initiative to automate fruit production and reduce reliance on manual labor.

Updated on Sept. 24, 2026 in Robotics

Isometric editorial illustration of a robotic sensing arm mounted in stylized apple trees, representing automated orchard research. — Cornell University received a $7.5 million USDA grant to lead a four-year initiative developing autonomous robotics for modernizing orchard fruit production. AI Illustration. Upload story photo >

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A Cornell-led research project has received a $7.5 million grant from the U.S. Department of Agriculture to develop autonomous orchard robots. The four-year collaboration aims to modernize fruit farming by integrating artificial intelligence into daily operations.

Why it matters

The initiative seeks to mitigate significant labor costs and improve worker safety by reducing risks associated with manual tasks, such as ladder falls. By automating orchard maintenance, the project hopes to transform how growers manage tree canopies and harvest fruit.

Nine organizations are collaborating on the project, which will utilize digital twins of orchards for precise horticultural analysis. The research focuses on systems that can identify fruit, branches, and wires using advanced machine learning models.

The players

Cornell University

This Ivy League research institution serves as the primary site for the orchard robotics project.

U.S. Department of Agriculture

This federal agency oversees farming and food production policies and provided the $7.5 million grant.

Washington Fruit and Produce Co.

This large-scale agricultural operator manages approximately 4,047 hectares of orchards.

The details

Researchers are training AI systems to interpret complex tree canopies and perform delicate tasks like thinning fruitlets. The project will also evaluate the economic factors and operational barriers that influence whether individual growers choose to adopt these new automated systems.

Fifteen years ago, labor costs accounted for 45 percent of production expenses.
Currently, labor costs account for over 60 percent of total production costs.
The research project is scheduled to run for a duration of four years.

The Tech Race

The development of autonomous orchard systems represents a technological pivot as the agriculture industry seeks to replace traditional manual labor with robotics. This effort positions participating researchers at the forefront of the precision farming revolution, replacing legacy maintenance methods.

For the agricultural sector, this technology could eventually lower food production costs by stabilizing labor-intensive processes. Growers may see improvements in efficiency, though the long-term impact on employment and operating expenses will depend on the scalability of these robots.

The takeaway

Advancing robotics in orchards signals a broader shift toward automated, data-driven farming practices. Growers looking to future-proof their operations should monitor how these AI-driven tools perform in large-scale pilot programs.