2015.09-2018.06 华南农业大学工程学院 农业机械化工程 博士 2017.01-2018.01 佛罗里达大学 精准农业实验室 访学 2010.09-2013.06 齐齐哈尔大学通信电子工程学院 通信与信息系统 硕士 2005.09-2009.06 齐齐哈尔大学理学院 数学与应用数学 学士 博士后工作经历 2020.01-2024.01 昆明理工大学 机械工程博士后流动站 博士后

农业智能装备、农业机器人

Wang Chenglin, Qiyu Han, Jianian Li*, Chunjiang Li, and Xiangjun Zou. YOLO-BLBE: A Novel Model for Identifying Blueberry Fruits with Different Maturities Using the I-MSRCR Method [J]. Agronomy, 2024, 14(4), 658. https://doi.org/10.3390/agronomy14040658. Wang Chenglin, Qiyu Han, Chunjiang Li, Jianian Li*, Dandan Kong, Faan Wang, and Xiangjun Zou. Assisting the Planning of Harvesting Plans for Large Strawberry Fields through Image-Processing Method Based on Deep Learning [J]. Agriculture, 2024, 14(4), 560. https://doi.org/10.3390/agriculture14040560. Wang Chenglin, Chunjiang Li, Qiyu Han, Fengyun Wu*, and Xiangjun Zou. A Performance Analysis of a Litchi Picking Robot System for Actively Removing Obstructions, Using an Artificial Intelligence Algorithm [J]. Agronomy, 2023, 13(11), 2795. https://doi.org/10.3390/agronomy13112795. Wang Chenglin, Liu Suchun, Wang Yawei, Xiong Juntao*, Zhang Zhaoguo**, Zhao Bo, Luo Lufeng, He Peng, and Lin Guichao. Application of CNN-based detection methods in fresh fruit production: A comprehensive review [J]. Frontiers in plant science, 2022, 13: 868745. Doi: 10.3389/fpls.2022.868745. Wang Chenglin, Wang Yawei, Liu Suchun, Lin Guichao*, He Peng, Zhang Zhaoguo**, and Zhou Yi. Study on Pear flowers Detection Performance of YOLO-PEFL Model Trained with Synthetic Target Images [J]. Frontiers in plant science, 2022, 13: 911473. Doi: 10.3389/fpls.2022.911473. Lin Wentao, Wang Chenglin*, Yan De, Chen Weilin, and Luo Lufeng**. Estimation of Characteristic Parameters of Grapes Clusters Based on Point Cloud Data [J]. Frontiers in plant science, 2022, 13: 885167. Doi: 10.3389/fpls.2022.885167. Luo Tianhong, Liu Suchun, Wang Chenglin*, Fu Qiang, and Zheng Xunjia. A Framework in Calibration Process for Line Structured Light System Using Image Analysis [J]. Processes, 2021, 19(917):917. Doi: 10.3390/pr9060917. Jin Xin, Wang Chenglin*, Chen Kaikang, Ji Jiangtao, Liu Suchun, and Wang Yawei. A Framework for Identification of Healthy Potted Seedlings in Automatic Transplanting System Using Computer Vision [J]. Frontiers in plant science, 2021, 12:691753. Doi: 10.3389/fpls.2021.691753. Jin Xin, Tang Lumei, Ji Jiangtao, Wang Chenglin*, and Wang Shengsheng. Potential analysis of an automatic transplanting method for healthy potted seedlings using computer vision [J]. International Journal of Agricultural and Biological Engineering, 2021, 14(6):162-168. Doi: 10.25165/j.ijabe.20211406.6638. Tang Yunchao, Chen Mingyou, Wang Chenglin*, Luo Lufeng, Li Jinhui, Lian Guoping, and Zou Xiangjun**. Recognition and Localization Methods for Vision-Based Fruit Picking Robots: A Review [J]. Frontiers in plant science, 2020, 11:510. Doi: 10.3389/fpls.2020.00510. Wang Chenglin, Luo Tianhong, Zhao Lijun*, Tang Yunchao, and Zou Xiangjun. Window Zooming–Based Localization Algorithm of Fruit and Vegetable for Harvesting Robot [J]. IEEE Access, 2019, 7:103639-103649. Doi: 10.1109/ACCESS.2019.2925812. Wang Chenglin, Lee Won Suk*, Zou Xiangjun, Choi Daeun, Gan Hao, and Diamond Justice. Detection and counting of immature green citrus fruit based on the Local Binary Patterns (LBP) feature using illumination-normalized images [J]. Precision Agriculture, 2018, 19(6):1062-1038. Doi: 10.1007/s11119-018-9574-5. Wang Chenglin, Tang Yunchao, Zou Xiangjun*, SiTu Weiming, and Feng Wenxian. A robust fruit image segmentation algorithm against varying illumination for vision system of fruit harvesting robot [J]. Optik, 2017, 131:626-631. Doi: 10.1016/j.ijleo.2016.11.177. Wang Chenglin, Tang Yunchao, Zou Xiangjun*, Luo Lufeng, and Chen Xiong. Recognition and matching of clustered mature litchi fruits using binocular charge-coupled device (CCD) color cameras [J]. Sensors, 2017, 17(11):2564. Doi: 10.3390/s17112564. Wang Chenglin, Zou Xiangjun*, Tang Yunchao, Luo Lufeng, and Feng Wenxian. Localisation of litchi in an unstructured environment using binocular stereo vision [J]. Biosystems Engineering, 2016, 145:39-51. Doi: 10.1016/j.biosystemseng.2016.02.004.