Abstract:
Due to the low efficiency and high cost of manual tea picking, as well as the development and application of machine vision and image recognition technology, the mechaniz...Show MoreMetadata
Abstract:
Due to the low efficiency and high cost of manual tea picking, as well as the development and application of machine vision and image recognition technology, the mechanization and intelligence of tea picking will become a trend. First of all, this paper analyzed the advantages and disadvantages of several common target detection methods by using Matlab simulation. Then, considering cost, accuracy and real-time performance, the method of combining K-means clustering and image morphology processing is finally selected to extract tea buds. Next, the method is reproduced on STM32 single chip microcomputer. Finally, the effect was verified in the actual tea garden, which laid a foundation for the subsequent intelligent picking.
Published in: 2022 41st Chinese Control Conference (CCC)
Date of Conference: 25-27 July 2022
Date Added to IEEE Xplore: 11 October 2022
ISBN Information: