References
- ZouJunRong. 2022 Fruit and Vegetable Industry Development Outlook and Market Trend Research and Analysis. https://www.chinairn.com/scfx/20220715/121648626.s html, 2022-7-15).
- Pan Mei. Application of image recognition in fruit and vegetable classification and recognition[J]. Modern Agricultural Science and Technology,2021(16):257-259.
- J, R., Nidamanuri, R.R. Deep learning-based prediction of plant height and crown area of vegetable crops using LiDAR point cloud[J]. Scientific Reports,14,14903(2024).
- Zeng Wei-liang, Lin Zhi-xian, CHEN Yong-shan. Research on fruit and vegetable image recognition for smart refrigerator based on convolutional neural network[J]. Microcomputer and Applications,2017,36(08):56-59.
- Cheng Shuai, Li Yanling, SI Haiping, et al. Research on automatic crop species identification algorithm based on convolutional neural network[J]. Henan Science,2020,38(12):1908-1914.
- B. V S, Harshad B, Vijay D. Hunger games search based deep convolutional neural network for crop pest identification and classification with transfer learning[J]. Evolving Systems,2022,14(4):649-671.
- Zhao Pengfei, Qian Mengbo, Zhou Kaiqi, et al. Improvement of sweet pepper fruit detection in YOLOv7-Tiny farmland environment[J]. Computer Engineering and Application,2023,59(15):329-340.
- Wang Yihan. Research on citrus fruit recognition and localization method in natural environment based on improved YOLOv7[D]. Sichuan Agricultural University,2023.
- Wu Jie, Shi Lei, Zhang Zhi-An. Research on pest image recognition and classification method based on deep learning[J]. Computing Technology and Automation,2023,42(01):166-173.
- Luo Tonglan. Research on potato defect detection based on improved YOLOv7[D]. Ningxia University,2023
- Pang Haitong. Research on intelligent identification technology of orchard pests based on deep learning[D]. Zhejiang University,2021.
- Fang Si-Wen. Research on apple localization and identification technology in complex environment based on YOLOv7[D]. Henan Agricultural University,2024.
- Jian Huang, Gang Zhang. A review of target detection algorithms for deep convolutional neural networks[J]. Computer Engineering and Application,2020,56(17):12-23.
- Xu Qiu. Research on transmission line bird damage detection and hazardous bird species identification based on YOLOv7[D]. Nanchang University,2024.