文献类型： 外文期刊
作者： Zhang, Qiusi 1 ; Li, Bo 3 ; Zhang, Yong 3 ; Wang, Shufeng 1 ;
作者机构： 1.Beijing Acad Agr & Forestry Sci, Informat Technol Res Ctr, Beijing 100097, Peoples R China
2.Anhui Univ, Natl Engn Res Ctr Agroecol Big Data Anal & Applica, Sch Elect & Informat Engn, Hefei 230601, Peoples R China
3.Beijing Univ Technol, Beijing Inst Artificial Intelligence, Dept Informat Sci, Beijing Key Lab Multimedia & Intelligent Software, Beijing 100124, Peoples R China
期刊名称：COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE （ 影响因子：3.12； 五年影响因子：3.877 ）
ISSN： 1687-5265
年卷期： 2022 年 2022 卷
页码：
收录情况： SCI
摘要： With the continuous growth of the global population, insufficient food production has become an urgent problem to be solved in most countries. At present, using artificial intelligence technology to improve suitability between land and crop varieties to increase crop yields has become a consensus among agricultural researchers. However, there are still many problems in existing works, such as limited crop phenotypic data and the poor performance of artificial intelligence models. In this regard, we take maize as an example to collect a large amount of environmental climate and crop phenotypic traits data at multiple experimental sites and construct an extensive dataset. Then, we introduce a graph neural network model to learn crop suitability evaluation and finally achieve a good evaluation effect. The evaluation results of the model can not only provide a reference for expert evaluation but also judge the suitability of the variety to other test trial sites according to the data of the current one, so as to guide future breeding experiments.
- 相关文献
作者其他论文 更多>>
-
TrG2P: A transfer-learning-based tool integrating multi-trait data for accurate prediction of crop yield
作者：Li, Jinlong;Zhang, Dongfeng;Yang, Feng;Zhang, Qiusi;Pan, Shouhui;Zhao, Xiangyu;Zhang, Qi;Han, Yanyun;Wang, Kaiyi;Zhao, Chunjiang;Li, Jinlong;Zhang, Dongfeng;Yang, Feng;Zhang, Qiusi;Pan, Shouhui;Zhao, Xiangyu;Zhang, Qi;Han, Yanyun;Wang, Kaiyi;Zhao, Chunjiang;Yang, Jinliang;Yang, Jinliang
关键词：crop; genotype to phenotype; transfer learning; yield prediction; multi-trait
-
Prediction of maize cultivar yield based on machine learning algorithms for precise promotion and planting
作者：Han, Yanyun;Wang, Kaiyi;Yang, Feng;Pan, Shouhui;Liu, Zhongqiang;Zhang, Qiusi;Zhang, Qi;Han, Yanyun;Wang, Kaiyi;Yang, Feng;Pan, Shouhui;Liu, Zhongqiang;Zhang, Qiusi;Zhang, Qi
关键词：Prediction of maize cultivar yield; Machine learning; Random forest; Levenberg - Marquardt neural network; Multilayer perceptron neural network; Assessment of varieties
-
Developing a comprehensive evaluation model of variety adaptability based on machine learning method
作者：Han, Yanyun;Wang, Kaiyi;Zhang, Qi;Yang, Feng;Pan, Shouhui;Liu, Zhongqiang;Zhang, Qiusi;Han, Yanyun;Wang, Kaiyi;Zhang, Qi;Yang, Feng;Pan, Shouhui;Liu, Zhongqiang;Zhang, Qiusi
关键词：Maize variety adaptability evaluation; Variety adaptability comprehensive evaluation index; Entropy weight method; Machine learning method
-
Coupled maize model: A 4D maize growth model based on growing degree days
作者：Qian, Binxiang;Huang, Wenjiang;Ye, Huichun;Guo, Anting;Pan, Yuhao;Jin, Yin;Jiao, Quanjun;Zhang, Biyao;Qian, Binxiang;Huang, Wenjiang;Ye, Huichun;Guo, Anting;Pan, Yuhao;Jin, Yin;Jiao, Quanjun;Qian, Binxiang;Huang, Wenjiang;Ye, Huichun;Guo, Anting;Pan, Yuhao;Jin, Yin;Jiao, Quanjun;Huang, Wenjiang;Ye, Huichun;Guo, Anting;Xie, Donghui;Xie, Qiaoyun;Ruan, Chao;Xu, Tianjun;Zhang, Yong;Nie, Tiange
关键词：Remote sensing; Maize growth model; 4D maize growth model; Maize canopy parameters; Growing degree days (GDDs); Coupled maize model
-
Prediction of corn variety yield with attribute-missing data via graph neural network
作者：Yang, Feng;Zhang, Dongfeng;Han, Yanyun;Zhang, Qiusi;Zhang, Qi;Liu, Zhongqiang;Wang, Kaiyi;Zhang, Yuqing;Zhang, Yong;Han, Yanyun;Liu, Zhongqiang;Wang, Kaiyi;Zhang, Qiusi;Zhang, Qi;Zhang, Chenghui
关键词：Corn variety yield prediction; Graph neural network; Data imputation; Adversarial learning
-
A variety test platform for the standardization and data quality improvement of crop variety tests
作者：Yang, Feng;Liu, Zhongqiang;Wang, Xiaofeng;Zhang, Qiusi;Han, Yanyun;Zhao, Xiangyu;Pan, Shouhui;Wang, Shufeng;Zhang, Qi;Wang, Kaiyi;Wang, Yuxi;Qiu, Jun;Wang, Xiaofeng;Zhang, Qiusi;Han, Yanyun;Wang, Shufeng;Zhang, Qi;Zhao, Xiangyu;Pan, Shouhui;Wang, Kaiyi;Yang, Shuo
关键词：crop variety test; trait data; standardization; data quality control; statistical analysis
-
LettuceGDB: The community database for lettuce genetics and omics
作者：Guo, Zhonglong;Li, Bo;Du, Jianjun;Shen, Fei;Zhao, Yongxin;Deng, Yang;Kuang, Zheng;Lu, Xianju;Wang, Ying;Wei, Jianhua;Guo, Xinyu;Zhao, Chunjiang;Yang, Xiaozeng;Guo, Zhonglong;Tao, Yihan;Wan, Miaomiao;Wang, Ying;Li, Lei;Guo, Zhonglong;Tao, Yihan;Wan, Miaomiao;Wang, Ying;Li, Lei;Guo, Zhonglong;Li, Bo;Shen, Fei;Zhao, Yongxin;Deng, Yang;Kuang, Zheng;Wang, Ying;Yang, Xiaozeng;Guo, Zhonglong;Du, Jianjun;Lu, Xianju;Guo, Xinyu;Zhao, Chunjiang;Wang, Dong;Han, Yingyan
关键词：lettuce; genome; multi-omics; germplasms; breeding; community
