Xoo-YOLO: a detection method for wild rice bacterial blight in the field from the perspective of unmanned aerial vehicles
文献类型: 外文期刊
第一作者: Pan, Pan
作者: Pan, Pan;Hu, Lin;Zhou, Guomin;Zhang, Jianhua;Pan, Pan;Zheng, Xiaoming;Hu, Lin;Zhou, Guomin;Zhang, Jianhua;Guo, Wenlong;Zheng, Xiaoming;Zhou, Guomin
作者机构:
关键词: wild rice; UAV; bacterial blight; disease detection; deep learning; YOLOv8
期刊名称:FRONTIERS IN PLANT SCIENCE ( 影响因子:5.6; 五年影响因子:6.8 )
ISSN: 1664-462X
年卷期: 2023 年 14 卷
页码:
收录情况: SCI
摘要: Wild rice, a natural gene pool for rice germplasm innovation and variety improvement, holds immense value in rice breeding due to its disease-resistance genes. Traditional disease resistance identification in wild rice heavily relies on labor-intensive and subjective manual methods, posing significant challenges for large-scale identification. The fusion of unmanned aerial vehicles (UAVs) and deep learning is emerging as a novel trend in intelligent disease resistance identification. Detecting diseases in field conditions is critical in intelligent disease resistance identification. In pursuit of detecting bacterial blight in wild rice within natural field conditions, this study presents the Xoo-YOLO model, a modification of the YOLOv8 model tailored for this purpose. The Xoo-YOLO model incorporates the Large Selective Kernel Network (LSKNet) into its backbone network, allowing for more effective disease detection from the perspective of UAVs. This is achieved by dynamically adjusting its large spatial receptive field. Concurrently, the neck network receives enhancements by integrating the GSConv hybrid convolution module. This addition serves to reduce both the amount of calculation and parameters. To tackle the issue of disease appearing elongated and rotated when viewed from a UAV perspective, we incorporated a rotational angle (theta dimension) into the head layer's output. This enhancement enables precise detection of bacterial blight in any direction in wild rice. The experimental results highlight the effectiveness of our proposed Xoo-YOLO model, boasting a remarkable mean average precision (mAP) of 94.95%. This outperforms other models, underscoring its superiority. Our model strikes a harmonious balance between accuracy and speed in disease detection. It is a technical cornerstone, facilitating the intelligent identification of disease resistance in wild rice on a large scale.
分类号:
- 相关文献
作者其他论文 更多>>
-
Phosphorus fractions and iron oxides responsible for the variations in the Cd retention capacity in tropical soil aggregates under different cropping patterns
作者:Wei, Dengxiu;Wei, Chaoxian;Pan, Pan;Lin, Bigui;Wu, Lin;Liu, Beibei;Wei, Dengxiu;Wei, Chaoxian;Wu, Lin;Liu, Beibei;Pan, Pan;Liu, Beibei;Pan, Pan;Liu, Beibei;Lin, Bigui;He, Zhenli
关键词:Cadmium; Tropical soil aggregates; Adsorption characteristics; P fractions; Fe oxides
-
Genome-wide differences of alternative splicing between Oryza sativa ssp. indica and Oryza sativa ssp. japonica
作者:Pang, Hongbo;Wu, Yuanming;Liu, Ziran;Xie, Yuankun;Li, Yueying;Wang, Ze;Chen, Qiang;Wu, Longkun;Ahmed, Zeeshan;Zheng, Xiaoming
关键词:Oryza sativa L; Transcriptome sequencing; Alternative splicing; Abiotic stress; GO enrichment
-
Applicability of UAV-based optical imagery and classification algorithms for detecting pine wilt disease at different infection stages
作者:Zhang, Ning;Chai, Xiujuan;Zhang, Jianhua;Sun, Tan;Zhang, Ning;Chai, Xiujuan;Zhang, Jianhua;Sun, Tan;Li, Niwen;Li, Niwen
关键词:Pine wilt disease; unmanned aerial vehicles; optical imagery; classification algorithms
-
Citrus pose estimation from an RGB image for automated harvesting
作者:Sun, Qixin;Chai, Xiujuan;Zhou, Guomin;Sun, Qixin;Sun, Tan;Zhong, Ming;Yin, Hesheng;Zeng, Zhikang
关键词:Citrus; Convolutional neural network; 3D pose estimation; RGB image; Attentional multi-scale feature fusion
-
Plant volatiles mediate Aphis gossypii settling but not predator foraging in intercropped cotton
作者:Yang, Yuanxue;Zhang, Ying;Liu, Bing;Wyckhuys, Kris A. G.;Lu, Yanhui;Yang, Yuanxue;Zhang, Jianhua;Wang, Aiyu;Zhao, Ming;Lu, Yanhui
关键词:intercropping; cotton aphid; biological control; repellent effect; crop diversification; farming system redesign
-
MicroRNA PC-5p-3991_515 mediates triflumezopyrim susceptibility in the small brown planthopper through regulating the post-transcriptional expression of P450 CYP417A2
作者:Yang, Yuanxue;Wang, Aiyu;Xue, Chao;Zhang, Yun;Zhao, Ming;Zhang, Jianhua;Yang, Yuanxue;Liu, Zewen;Tian, Honglin;Zhou, Maolin;Liu, Zewen;Zhang, Jianhua
关键词:Laodelphax striatellus; microRNA PC-5p-3991_515; triflumezopyrim
-
Epigenetic regulation by quercetin: a comprehensive review focused on its biological mechanisms
作者:Zhu, Jinfeng;Cheng, Xiaju;Hu, Lin;Zhu, Jinfeng;Cheng, Xiaju;Hu, Lin;Zhu, Jinfeng;Naumovski, Nenad;Naumovski, Nenad;Naumovski, Nenad;Naumovski, Nenad;Wang, Kai
关键词:DNA methylation; epigenetic; histone modifications; m6A; microRNAs; quercetin