Chinese | English

Search in the results

IB-CAS

Browse/Search Results:  1-6 of 6 Help

Selected(0)Clear Items/Page:    Sort:
High-temperature adaptation of an OsNRT2.3 allele is thermoregulated by small RNAs 期刊论文
SCIENCE ADVANCES, 2022, 卷号: 8, 期号: 47
Authors:  Zhang, Yong;  Tateishi-Karimata, Hisae;  Endoh, Tamaki;  Jin, Qiongli;  Li, Kexin;  Fan, Xiaoru;  Ma, Yingjun;  Gao, Limin;  Lu, Haiyan;  Wang, Zhiye;  Cho, Art E.;  Yao, Xuefeng;  Liu, Chunming;  Sugimoto, Naoki;  Guo, Shiwei;  Fu, Xiangdong;  Shen, Qirong;  Xu, Guohua;  Herrera-Estrella, Luis Rafael;  Fan, Xiaorong
Adobe PDF(4889Kb)  |  Favorite  |  View/Download：40/0  |  Submit date：2024/03/07
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 卷号: 171, 页码: 202-223
Authors:  Jin, Shichao;  Sun, Xiliang;  Wu, Fangfang;  Su, Yanjun;  Li, Yumei;  Song, Shiling;  Xu, Kexin;  Ma, Qin;  Baret, Frederic;  Jiang, Dong;  Ding, Yanfeng;  Guo, Qinghua
Adobe PDF(12177Kb)  |  Favorite  |  View/Download：109/0  |  Submit date：2023/02/24
Lidar  Traits  Phenomics  Breeding  Management  Multi-omits  
Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level 期刊论文
PLANT METHODS, 2020, 卷号: 16, 期号: 1
Authors:  Jin, Shichao;  Su, Yanjun;  Song, Shilin;  Xu, Kexin;  Hu, Tianyu;  Yang, Qiuli;  Wu, Fangfang;  Xu, Guangcai;  Ma, Qin;  Guan, Hongcan;  Pang, Shuxin;  Li, Yumei;  Guo, Qinghua
Adobe PDF(4774Kb)  |  Favorite  |  View/Download：135/0  |  Submit date：2022/03/01
Biomass  Phenotype  Machine learning  Terrestrial lidar  Precision agriculture  
Application of deep learning in ecological resource research: Theories, methods, and challenges 期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2020, 卷号: 63, 期号: 10, 页码: 1457-1474
Authors:  Guo, Qinghua;  Jin, Shichao;  Li, Min;  Yang, Qiuli;  Xu, Kexin;  Ju, Yuanzhen;  Zhang, Jing;  Xuan, Jing;  Liu, Jin;  Su, Yanjun;  Xu, Qiang;  Liu, Yu
Adobe PDF(4690Kb)  |  Favorite  |  View/Download：149/0  |  Submit date：2022/03/01
Ecological resources  Deep learning  Neural network  Big data  Theory and tools  Application and challenge  
Estimation of degraded grassland aboveground biomass using machine learning methods from terrestrial laser scanning data 期刊论文
ECOLOGICAL INDICATORS, 2020, 卷号: 108
Authors:  Xu, Kexin;  Su, Yanjun;  Liu, Jin;  Hu, Tianyu;  Jin, Shichao;  Ma, Qin;  Zhai, Qiuping;  Wang, Rui;  Zhang, Jing;  Li, Yumei;  Liu, Hon An;  Guo, Qinghua
Adobe PDF(4794Kb)  |  Favorite  |  View/Download：145/0  |  Submit date：2022/03/01
Aboveground biomass (AGB)  Degraded grassland  Machine learning  Northern agro-pastoral ecotone  Terrestrial laser scanning (TLS)  
The highly expressed methionine synthase gene of Neurospora crassa is positively regulated by its proximal heterochromatic region 期刊论文
NUCLEIC ACIDS RESEARCH, 2014, 卷号: 42, 期号: 10, 页码: 6183-6195
Authors:  Yang, Silu;  Li, Weihua;  Qi, Shaohua;  Gai, Kexin;  Chen, Yibo;  Suo, Jingxia;  Cao, Yingqiong;  He, Yubo;  Wang, Ying;  He, Qun
Adobe PDF(2736Kb)  |  Favorite  |  View/Download：97/0  |  Submit date：2023/03/30