首页|Study Data from Jiangsu Academy of Agricultural Sciences Update Knowledge of Agr icultural Robots (Barrier-free tomato fruit selection and location based on opti mized semantic segmentation and obstacle perception algorithm)
Study Data from Jiangsu Academy of Agricultural Sciences Update Knowledge of Agr icultural Robots (Barrier-free tomato fruit selection and location based on opti mized semantic segmentation and obstacle perception algorithm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators publish new report on agricultural robots. According to news reporting originating fromNanjing, People’s Republic of China, by NewsRx correspondents, research stated, “With the advancementof co mputer vision technology, vision-based target perception has emerged as a predom inant approachfor harvesting robots to identify and locate fruits. However, lit tle attention has been paid to the fact thatfruits may be obscured by stems or other objects.”
Jiangsu Academy of Agricultural SciencesNanjingPeople’s Republic of ChinaAsiaAgricultural RobotsAgricultureA lgorithmsEmerging TechnologiesMachine LearningNano-robotRobotics
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