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A Survey of Recent Advances in Commonsense Knowledge Acquisition: Methods and Resources 期刊论文
Machine Intelligence Research, 2024, 页码: 1
作者:  Wang, Chenhao;  Li, Jiachun;  Chen, Yubo;  Liu, Kang;  Zhao, Jun
Adobe PDF(1228Kb)  |  收藏  |  浏览/下载：18/4  |  提交时间：2024/06/25
Diagnosis of Typical Apple Diseases: A Deep Learning Method Based on MultiScale Dense Classification Network 期刊论文
Frontiers in Plant Science, 2021, 期号: 12, 页码: 1-12
作者:  Tian YN(田雨农)
Adobe PDF(4280Kb)  |  收藏  |  浏览/下载：200/35  |  提交时间：2022/01/07
apple disease diagnosis  Cycle-GAN  Multi-scale connection  DenseNet  deep learning  
Apple detection during different growth stages in orchards using the improved YOLOV3 model 期刊论文
Computers and Electronics in Agriculture, 2019, 期号: 157, 页码: 417-426
作者:  Tian YN(田雨农)
Adobe PDF(4028Kb)  |  收藏  |  浏览/下载：170/57  |  提交时间：2022/01/07
Apple images acquisition  Image augmentation  Deep learning  YOLOV3-dense  Real-time detection  
基于深度学习的苹果花果信息感知与病虫害诊断技术研究 学位论文
, 北京: 中国科学院大学, 2021
作者:  田雨农
Adobe PDF(34412Kb)  |  收藏  |  浏览/下载：263/4  |  提交时间：2022/01/06
苹果花实例分割  苹果果实检测  典型病害图像增广  病害诊断  害虫检测  决策管控系统  
Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense 期刊论文
Journal of Sensors, 2019, 期号: 2019, 页码: 1-13
作者:  Tian YN(田雨农)
Adobe PDF(26755Kb)  |  收藏  |  浏览/下载：174/39  |  提交时间：2022/01/06
optical sensors  deep learning  lesion detection  CycleGAN  DenseNet  YOLO-V3 model  
Instance segmentation of apple flowers using the improved mask R-CNN model 期刊论文
biosystems engineering, 2020, 期号: 193, 页码: 264-278
作者:  Tian YN(田雨农)
Adobe PDF(4718Kb)  |  收藏  |  浏览/下载：184/50  |  提交时间：2022/01/06
Apple flower images acquisition  Apple flower images acquisition  Deep learning  MASU R-CNN  Instance segmentation  
Diagnosis of Typical Apple Diseases: A Deep Learning Method Based on Multi-Scale Dense Classification Network 期刊论文
FRONTIERS IN PLANT SCIENCE, 2021, 卷号: 12, 页码: 12
作者:  Tian, Yunong;  Li, En;  Liang, Zize;  Tan, Min;  He, Xiongkui
Adobe PDF(4280Kb)  |  收藏  |  浏览/下载：226/8  |  提交时间：2021/12/28
apple disease diagnosis  Cycle-GAN  Multi-scale connection  DenseNet  deep learning  
Instance segmentation of apple flowers using the improved mask R-CNN model 期刊论文
BIOSYSTEMS ENGINEERING, 2020, 卷号: 193, 页码: 264-278
作者:  Tian, Yunong;  Yang, Guodong;  Wang, Zhe;  Li, En;  Liang, Zize
Adobe PDF(4718Kb)  |  收藏  |  浏览/下载：410/111  |  提交时间：2020/06/02
Apple flower images acquisition  Image augmentation  Deep learning  MASU R-CNN  Instance segmentation  
Apple detection during different growth stages in orchards using the improved YOLO-V3 model 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2019, 卷号: 157, 页码: 417-426
作者:  Tian, Yunong;  Yang, Guodong;  Wang, Zhe;  Wang, Hao;  Li, En;  Liang, Zize
Adobe PDF(1152Kb)  |  收藏  |  浏览/下载：372/112  |  提交时间：2019/07/12
Apple images acquisition  Image augmentation  Deep learning  YOLOV3-dense  Real-time detection  
Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense 期刊论文
JOURNAL OF SENSORS, 2019, 页码: 13
作者:  Tian, Yunong;  Yang, Guodong;  Wang, Zhe;  Li, En;  Liang, Zize
Adobe PDF(2312Kb)  |  收藏  |  浏览/下载：302/13  |  提交时间：2019/07/12