Research and design of a fruit target localization and segmentation method based on deep learning techniques

Wenhao Wang; Yupeng Qin; Zhe Han

doi:10.1117/12.2639120

23 May 2022 Research and design of a fruit target localization and segmentation method based on deep learning techniques

Wenhao Wang, Yupeng Qin, Zhe Han

Author Affiliations +

Proceedings Volume 12254, International Conference on Electronic Information Technology (EIT 2022); 1225432 (2022) https://doi.org/10.1117/12.2639120
Event: International Conference on Electronic Information Technology (EIT 2022), 2022, Chengdu, China

Abstract

The application of artificial intelligence technology has improved the production efficiency of agriculture and forestry, and the huge demand for fruit picking robots has driven the booming development of related technologies. To address this situation, this paper designs a fruit target detection and segmentation method based on deep learning technology. This paper firstly introduces the necessity of fruit target localization technology, then introduces the technical foundation including neural network, neuron model and activation function, convolutional neural network, etc. Finally, the research and design of fruit contour recognition and segmentation method is carried out and summarized. The method can provide pre-processing methods and data basis for subsequent fruit target recognition, and lay a certain foundation for promoting the development and design of fruit picking robots.

Citation Download Citation

Wenhao Wang, Yupeng Qin, and Zhe Han "Research and design of a fruit target localization and segmentation method based on deep learning techniques", Proc. SPIE 12254, International Conference on Electronic Information Technology (EIT 2022), 1225432 (23 May 2022); https://doi.org/10.1117/12.2639120

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