A team of scientists at Washington State University has engineered an innovative robotic system that employs artificial intelligence and gentle air currents to revolutionize strawberry harvesting. The breakthrough technology addresses a longstanding challenge in agricultural automation – the difficulty of locating and picking strawberries hidden beneath foliage without damaging the delicate fruit.
The robot’s design integrates several cutting-edge features, including an AI vision system that identifies ripe berries and determines optimal picking approaches, specialized silicone grippers that handle the fruit with care, and a strategic fan mechanism that parts leaves using controlled airflow rather than physical manipulation.
Field testing conducted in Huizhou, China demonstrated impressive results, with the robot successfully harvesting approximately 75% of ripe strawberries when utilizing its fan system – marking a 16% improvement over trials without the air-assist feature. Each berry harvest operation takes roughly 20 seconds to complete.
Lead researcher Zixuan He, now at Aarhus University in Denmark, notes that while the technology isn’t yet ready to fully replace human workers, it represents a promising supplement to address agricultural labor shortages. The strawberry industry has traditionally relied heavily on manual picking, but rising labor costs and worker scarcity have intensified the need for automated solutions.
Previous attempts at robotic strawberry harvesting focused primarily on greenhouse environments where fruit is more accessible. However, since U.S. strawberry production occurs mainly in open fields where berries are frequently concealed by leaves, the WSU team’s
air-assisted approach marks an important advancement.
The research team estimates that a deployment of 10 robots equipped with four arms each could harvest approximately 300,000 strawberries in 43 hours. They suggest the technology could potentially be adapted for other crops like grapes.
This development joins a growing wave of agricultural technology innovation emerging from the Pacific Northwest. Other recent advances include mushroom-picking robots from a British Columbia startup, weed-targeting robots from Seattle-area companies Carbon Robotics and Aigen, and rock-clearing machinery from Idaho’s TerraClear.
The team’s findings were published in Computers and Electronics in Agriculture, with contributing authors including Zibo Liu and Zhiyan Zhou from South China Agricultural University Guangzhou, former WSU professor Manoj Karkee who is now at Cornell University, and WSU professor emeritus Qin Zhang. Their paper details what appears to be the first successful demonstration of robotic strawberry harvesting using airflow manipulation at field scale, showcasing how AI can enhance robotic performance in complex agricultural environments.