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Crop/Plant Modeling Supports Plant Breeding II. Guidance of Functional Plant Phenotyping for Trait Discovery 期刊论文
PLANT PHENOMICS, 2023, 卷号: 5, 页码: 19
作者:  Zhang, Pengpeng;  Huang, Jingyao;  Ma, Yuntao;  Wang, Xiujuan;  Kang, Mengzhen;  Song, Youhong
收藏  |  浏览/下载：12/0  |  提交时间：2024/02/22
Machine learning versus crop growth models: an ally, not a rival 期刊论文
AOB PLANTS, 2023, 卷号: 15, 期号: 2, 页码: 7
作者:  Zhang, Ningyi;  Zhou, Xiaohan;  Kang, Mengzhen;  Hu, Bao-Gang;  Heuvelink, Ep;  Marcelis, Leo F. M.
收藏  |  浏览/下载：34/0  |  提交时间：2023/11/17
Knowledge  and data-driven modelling  Machine learning  Process-based models  yield prediction  
The Development of AgriVerse: Past, Present, and Future 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 10
作者:  Kang, Mengzhen;  Wang, Xiujuan;  Wang, Haoyu;  Hua, Jing;  de Reffye, Philippe;  Wang, Fei-Yue
Adobe PDF(4290Kb)  |  收藏  |  浏览/下载：267/70  |  提交时间：2023/02/22
Computational modeling  Biological systems  Biomass  Biological system modeling  Production  Plants (biology)  Metaverse  Agricultural metaverse (AgriVerse)  agriculture cyber-physical-social system (CPSS)  artificial systems  computational experiments  and parallel execution (ACP)  decentralized science (DeSci)  knowledge-and-data driven modeling  parallel agriculture  plant model  
Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability? 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2070-2080
作者:  Yanfen Wang;  Mengzhen Kang;  Yali Liu;  Juanjuan Li;  Kai Xue;  Xiujuan Wang;  Jianqing Du;  Yonglin Tian;  Qinghua Ni;  Fei-Yue Wang
Adobe PDF(9632Kb)  |  收藏  |  浏览/下载：188/108  |  提交时间：2023/09/22
Carbon-water balance  decision-support  digital intelligence (DI)  foundation models  planning  
Towards Prior Gap and Representation Gap for Long-tailed Recognition, Pattern Recognition 期刊论文
Pattern Recognition, 2023, 卷号: 133, 期号: 109012, 页码: 109012
作者:  Zhang Ming-Liang;  Zhang Xu-Yao;  Wang Chang;  Liu Cheng-Lin
Adobe PDF(2258Kb)  |  收藏  |  浏览/下载：46/10  |  提交时间：2024/04/03
Long-tailed learning  Prior gap  Representation gap  Image recognition  
Learning by Seeing More Classes 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 卷号: 45, 期号: 6, 页码: 7477-7493
作者:  Fei Zhu;  Xu-Yao Zhang;  Rui-Qi Wang;  Cheng-Lin Liu
Adobe PDF(2561Kb)  |  收藏  |  浏览/下载：117/37  |  提交时间：2023/09/12
Class augmentation  generalization  confidence estimation  open-environment learning  
Rice Yield Prediction and Model Interpretation Based on Satellite and Climatic Indicators Using a Transformer Method 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 19, 页码: 21
作者:  Liu, Yuanyuan;  Wang, Shaoqiang;  Chen, Jinghua;  Chen, Bin;  Wang, Xiaobo;  Hao, Dongze;  Sun, Leigang
收藏  |  浏览/下载：164/0  |  提交时间：2022/11/14
crop yield prediction  remote sensing  deep learning  feature importance  attention  
Parallel crop planning based on price forecast 期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 期号: 1, 页码: 22
作者:  Fan, Menghan;  Kang, Mengzhen;  Wang, Xiujuan;  Hua, Jing;  He, Chaoxing;  Wang, Fei-Yue
Adobe PDF(2074Kb)  |  收藏  |  浏览/下载：274/54  |  提交时间：2021/12/28
agent-based modeling  crop planning  parallel agricultural management  price prediction  
Mix Contrast for COVID-19 Mild-to-Critical Prediction 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2021, 卷号: 68, 期号: 12, 页码: 3725-3736
作者:  Zhu, Yongbei;  Wang, Shuo;  Wang, Siwen;  Wu, Qingxia;  Wang, Liusu;  Li, Hongjun;  Wang, Meiyun;  Niu, Meng;  Zha, Yunfei;  Tian, Jie
Adobe PDF(3534Kb)  |  收藏  |  浏览/下载：254/45  |  提交时间：2021/12/28
Coronavirus disease 2019 (COVID-19)  contrastive learning  computed tomography  mixup  prognosis  
Self-Supervised Feature Augmentation for Large Image Object Detection 期刊论文
IEEE Transactions on Image Processing, 2020, 卷号: 29, 期号: 0, 页码: 6745-6758
作者:  Pan, Xingjia;  Tang, Fan;  Dong, Weiming;  Gu, Yang;  Song, Zhichao;  Meng, Yiping;  Xu, Pengfei;  Oliver, Deussen;  Xu, Changsheng
浏览  |  Adobe PDF(5411Kb)  |  收藏  |  浏览/下载：279/62  |  提交时间：2020/12/21
object detection  large image  self-supervise  feature augmentation