[1]QTL analysis for heading date and yield traits using recombinant inbred lines of indica rice grown in different cropping seasons. Cao, L. -Y.,Wu, J. -L.,Fan, Y. -Y.,Cheng, S. -H.,Zhuang, J. -Y.,Cao, L. -Y.,Wu, J. -L.,Fan, Y. -Y.,Cheng, S. -H.,Zhuang, J. -Y..

[2]A intervarietal genetic map and QTL analysis for yield traits in wheat. Li, Sishen,Jia, Jizeng,Wei, Xianyun,Zhang, Xiaocun,Li, Linzhi,Chen, Haimei,Fan, Yuding,Sun, Haiyan,Zhao, Xinhua,Lei, Tiandong,Xu, Yunfong,Jiang, Fangshan,Wang, Honggang,Li, Lihui. 2007

[3]Quantitative Trait Locus Analysis for Rice Yield Traits under Two Nitrogen Levels. FENG Yue , ZHAI Rong-rong , LIN Ze-chuan , CAO Li-yong , WEI Xing-hua , CHENG Shi-hua *. 2015

[4]Validating a segment on the short arm of chromosome 6 responsible for genetic variation in the hull silicon content and yield traits of rice. Wei-Min Dai , Ke-Qin Zhang , Ji-Rong Wu , Lei Wang , Bin-Wu Duan , Kang-Le Zheng , Run Cai , Jie-Yun Zhuang *. 2008

[5]Genetic Association between Blast Resistance and Yield Traits in Rice Detected Using a High-Density Bin Map. Kanyange, Lydia,Fan, Ye-Yang,Zhang, Zhen-Hua,Huang, De-Run,Huang, Ting-Xu,Zhuang, Jie-Yun,Zhu, Yu-Jun. 2022

[6]Dissecting the Genetic Basis of Yield Traits and Validation of a Novel Quantitative Trait Locus for Grain Width and Weight in Rice. Man Yin,Xiaohong Tong,Jinyu Yang,Yichen Cheng,Panpan Zhou,Guan Li,Yifeng Wang,Jiezheng Ying. 2024

[7]Genomic variation and candidate genes dissect quality and yield traits in Boehmeria nivea (L.) Gaudich. Shi, Yaliang,Huang, Kunyong,Chen, Jikang,Huda, Md. Nurul,Niu, Juan,Sun, Zhimin,Yu, Na,Qiu, Xiaojun,Shi, Yingying,Chen, Jing,Zhong, Yicheng,Wang, Yue,Chen, Jianhua,Luan, Mingbao,Zhu, Aiguo. 2024

[8]Standardized precipitation evapotranspiration index (SPEI) estimated using variant long short-term memory network at four climatic zones of China. Juan Dong,Liwen Xing,Ningbo Cui,Lu Zhao,Li Guo,Daozhi Gong. 2023

[9]Deep learning-based software and hardware framework for a noncontact inspection platform for aggregate grading. Jing Qin,Jiabao Wang,Tianjie Lei,Geng Sun,Jianwei Yue,Weiwei Wang,Jinping Chen,Guansheng Qian. 2023

[10]Classification of weed seeds based on visual images and deep learning. Tongyun Luo,Jianye Zhao,Yujuan Gu,Shuo Zhang,Xi Qiao,Wen Tian,Yangchun Han. 2023

[11]Estimation of leaf area index for winter wheat at early stages based on convolutional neural networks. Yunxia Li,Hongjie Liu,Juncheng Ma,Lingxian Zhang. 2021

[12]Vision-based apple quality grading with multi-view spatial network. Xiao Shi,Xiujuan Chai,Chenxue Yang,Xue Xia,Tan Sun. 2022

[13]Noise-tolerant RGB-D feature fusion network for outdoor fruit detection. Qixin Sun,Xiujuan Chai,Zhikang Zeng,Guomin Zhou,Tan Sun. 2022

[14]Interpretation of convolutional neural networks reveals crucial sequence features involving in transcription during fiber development. Shang Liu,Hailiang Cheng,Javaria Ashraf,Youping Zhang,Qiaolian Wang,Limin Lv,Man He,Guoli Song,Dongyun Zuo. 2022

[15]Multi-level feature fusion for fruit bearing branch keypoint detection. Qixin Sun,Xiujuan Chai,Zhikang Zeng,Guomin Zhou,Tan Sun. 2021

[16]A Deep Learning-Based Object Detection Scheme by Improving YOLOv5 for Sprouted Potatoes Datasets. Dai, Guowei,Hu, Lin,Fan, Jingchao,Yan, Shen,Li, Ruijing. 2022

[17]Convolutional Neural Network for Object Detection in Garlic Root Cutting Equipment. Yang, Ke,Peng, Baoliang,Gu, Fengwei,Zhang, Yanhua,Wang, Shenying,Yu, Zhaoyang,Hu, Zhichao. 2022

[18]Cotton disease identification method based on pruning. Zhu D.,Feng Q.,Zhang J.,Yang W.. 2022

[19]Identification method of vegetable diseases based on transfer learning and attention mechanism. Xue Zhao,Kaiyu Li,Yunxia Li,Juncheng Ma,Lingxian Zhang. 2022

[20]Image Recognition of Male Oilseed Rape (Brassica napus) Plants Based on Convolutional Neural Network for UAAS Navigation Applications on Supplementary Pollination and Aerial Spraying. Zhu Sun,Xiangyu Guo,Yang Xu,Songchao Zhang,Xiaohui Cheng,Qiong Hu,Wenxiang Wang,Xinyu Xue. 2022