AI Robot Uses Logic to Harvest Tomatoes Faster

Assistant Professor Takuya Fujinaga of Osaka Metropolitan University has developed a tomato-picking robot that evaluates fruit accessibility before moving ^[1]. This machine uses artificial intelligence to assess the ease of harvesting for each specific fruit ^[1]. Instead of simply identifying ripe produce, the robot predicts the success rate of various approach angles ^[1]. The system allows the machine to independently adjust its strategy when it faces complex clusters or obstructions ^[1]. By calculating the best path first, the robot increased its harvesting success rate to 81% ^[1]. This advancement aims to improve efficiency in automated agriculture by reducing failed attempts in the field ^[1].