Oxbo is unveiling AutoHarvest, an integrated machine-learning technology bringing real-time harvest optimization to berry growers. Designed for Oxbo berry harvesters, AutoHarvest continuously analyzes harvesting conditions and automatically adjusts machine functions, helping achieve consistent results.
AutoHarvest uses integrated cameras and advanced algorithms to make ongoing adjustments in the field, rather than relying on the driver to make manual changes. An operator or field manager defines harvest goals through two easy-to-use input sliders. Once set, AutoHarvest works in the background to continuously fine-tune harvester performance, optimizing ground speed, head speed, head pinch, belt and fan speeds to optimize performance.
“AutoHarvest simplifies one of the most challenging parts of berry harvesting by helping operators achieve consistent results across changing field conditions,” said Kathryn Vanweerdhuizen, Director of Sales & Marketing for Oxbo Fruit. “AutoHarvest continuously optimizes harvester performance and is designed to help you harvest all the ripe fruit on each pass during the season. AutoHarvest allows operators of any skill level to expertly set and fine–tune your harvester for the variety, conditions, and fruit program goals.”
AutoHarvest was developed to perform across a wide range of harvesting conditions and production goals. Whether harvesting for fresh market quality or maximizing processed fruit recovery, the technology continuously adapts machine functions to maintain desired harvesting outcomes.
AutoHarvest is now available on 2027 Oxbo blueberry harvesters.
