数字农科院2.0

RESEARCH ON WEED RECOGNITION AND CROP ROW EXTRACTION TECHNOLOGY BASED ON DEEP LEARNING

文献类型: 外文期刊

作者: Yang, Tengxiang;Jin, Chengqian;Ni, Youliang;Chen, Man;Liu, Zhen

作者机构:

关键词: semantic segmentation;image recognition;corn crop row recognition;precision agriculture

期刊名称: INMATEH-AGRICULTURAL ENGINEERING

ISSN: 2068-4215

年卷期: 2025 年 76 卷 2 期

页码:

收录情况: EI(2025版) ; ; ESCI(2025版)

摘要: To address the limitation of existing agricultural unmanned plant protection equipment in perceiving crop growth status in real time during the maize seedling stage, this study proposes a crop row extraction method based on image processing. A crop semantic segmentation network was developed using the UNet framework, with VGG19 as the encoder and transposed convolution as the decoder. Model testing demonstrated that the segmentation network achieved accuracy rates of 0.9865 on the training set and 0.9864 on the validation set, with corresponding loss values of 0.0254 and 0.0270. In continuous processing scenarios, the average time for semantic segmentation per image was 120 milliseconds, while crop row extraction required 23 milliseconds.

分类号:

  • 相关文献

[1]A Recognition Model Based on Multiscale Feature Fusion for Needle-Shaped Bidens L. Seeds. Zizhao Zhang,Yiqi Huang,Ying Chen,Ze Liu,Bo Liu,Conghui Liu,Cong Huang,Wanqiang Qian,Shuo Zhang,Xi Qiao. 2025

[2]URSE-Net: a method of extraction winter wheat planting information based on multispectral remote sensing images. Zhou, Yuguang,Ma, Mingxu,Yang, Guang,Wang, Zeyu,Lai, Youchun,Liu, Haifan,Chen, Li,Wang, Mo. 2025

[3]Invasive plants detection and distribution patterns analysis through self-attention enhanced semantic segmentation in UAV imagery and Moran's index. Chao, Jun,Wang, Kaiwen,Xu, Beibei,Harty, Mary,Wang, Wensheng,Mcdonnell, Kevin. 2025

[4]Semantic Category Balance-Aware Involved Anti-Interference Network for Remote Sensing Semantic Segmentation. Nie, Jie,Wang, Zhaoxin,Liang, Xinyue,Yang, Chenxue,Zheng, Chengyu,Wei, Zhiqiang. 2023

[5]A statistic method of crop acreage based on image recognition. Wang Suxia,Mao Enrong,Song Zhenghe,Lv Antao,Yang Bangjie. 2006

[6]Quantitative extraction and analysis of pear fruit spot phenotypes based on image recognition. Xiaobin Zhang,Yihang Zhu,Yanli Su,Baoliang Xie,Qing Gu,Kefeng Zheng. 2021

[7]Surface Defect and Malformation Characteristics Detection for Fresh Sweet Cherries Based on YOLOv8-DCPF Method. Liu, Yilin,Han, Xiang,Ren, Longlong,Ma, Wei,Liu, Baoyou,Sheng, Changrong,Song, Yuepeng,Li, Qingda. 2025

[8]Image Classification of Raw Beef Cuts Based on the Improvement of YOLOv11n Using Wavelet Convolution. Liao, Hongsen,Hu, Yongsong,Zhang, Mei,Ma, Wei. 2025

[9]Modeling Moisture Content and Analyzing Water Infiltration in Coconut Coir Substrate Using RGB Image Recognition and Machine Learning. Xiaokun Feng,Ping Zou,Qingtao Wang,Haitao Wang,Xiangnan Li,Jiandong Wang. 2026

[10]Multi-Scale Depthwise Separable Convolution for Semantic Segmentation in Street–Road Scenes. Yingpeng Dai,Chenglin Li,Xiaohang Su,Hongxian Liu,Jiehao Li. 2023

[11]TMNet: A Two-Branch Multi-Scale Semantic Segmentation Network for Remote Sensing Images. Yupeng Gao,Shengwei Zhang,Dongshi Zuo,Weihong Yan,Xin Pan. 2023

[12]Study of convolutional neural network-based semantic segmentation methods on edge intelligence devices for field agricultural robot navigation line extraction. Jiya Yu,Jiye Zhang,Aijing Shu,Yujie Chen,Jianneng Chen,Yongjie Yang,Wei Tang,Yanchao Zhang. 2023

[13]Improved 3D point cloud segmentation for accurate phenotypic analysis of cabbage plants using deep learning and clustering algorithms. Ruichao Guo,Jilong Xie,Jiaxi Zhu,Ruifeng Cheng,Yi Zhang,Xihai Zhang,Xinjing Gong,Ruwen Zhang,Hao Wang,Fanfeng Meng. 2023

[14]Deriving Agricultural Field Boundaries for Crop Management from Satellite Images Using Semantic Feature Pyramid Network. Yang Xu,Xinyu Xue,Zhu Sun,Wei Gu,Longfei Cui,Yongkui Jin,Yubin Lan. 2023

[15]Attention-optimized DeepLab V3+for automatic estimation of cucumber disease severity. Li, Kaiyu,Zhang, Lingxian,Li, Bo,Li, Shufei,Ma, Juncheng. 2022

[16]MRUNet: A two-stage segmentation model for small insect targets in complex environments. Fu kuan WANG,Yi qi HUANG,Zhao cheng HUANG,Hao SHEN,Cong HUANG,Xi QIAO,Wan qiang QIAN. 2023

[17]Detection and Mapping of Chestnut Using Deep Learning from High-Resolution UAV-Based RGB Imagery. Yifei Sun,Zhenbang Hao,Zhanbao Guo,Zhenhu Liu,Jiaxing Huang. 2023

[18]Lightweight multi-scale feature dense cascade neural network for scene understanding of intelligent autonomous platform. Dai, Yingpeng,Meng, Lingfeng,Sun, Fushan,Wang, Songfeng. 2024

[19]Semantic segmentation of remote sensing images based on multiscale features and global information modeling. Yupeng Gao,Xiaoling Luo,Xiaojing Gao,Weihong Yan,Xin Pan,Xueliang Fu. 2024

[20]Intelligent weight prediction of cows based on semantic segmentation and back propagation neural network. Beibei Xu,Yifan Mao,Wensheng Wang,Guipeng Chen. 2024

作者其他论文 更多>>