[1]WHEAT HARVESTING QUALITY ONLINE DETECTION SYSTEM AND EXPERIMENTAL VERIFICATION. Qin, Yue,Chen, Man,Yang, Tengxiang,Zhang, Guangyue,Jin, Chengqian,Mo, Gongwu. 2025
[2]Light effect on the tissue contents and distribution of isoflavones in the developing seedling of soybean. Sun, JM,Ding, AL. 1998
[3]Mapping QTLs for salt tolerance with additive, epistatic and QTLxtreatment interaction effects at seedling stage in wheat. Xu, Y.,Zhang, X.,Xu, H.,An, D.,Li, S.,Li, L.. 2013
[4]Seedling salt tolerance in tomato. Li, Junming,Liu, Lei,Zhang, Pujuan,Du, Yongchen,Li, Junming,Bai, Yuling,Finkers, Richard,Visser, Richard G. F.,van Heusden, Adriaan W.,Li, Junming. 2011
[5]Genetic Variation Among the Geographic Population of the Grain Aphid, Sitobion avenae (Hemiptera: Aphididae) in China Inferred from Mitochondrial COI Gene Sequence. Xu Zhao-huan,Chen Ju-lian,Cheng Deng-fa,Xu Zhao-huan,Liu Yong,Francis, Frederic. 2011
[6]Potential Dermal And Inhalation Exposure T.o Imidacloprid And Risk A ssessment Among Applicators During Treatment In Cotton Field In China. Cao, LD,Zhang, HJ,Li, FM,Zhou, ZL,Wang, WL,Ma, DK,Yang, L,Zhou, PG,Huang, QL. 2018
[7]Cost Comparison between Digital Management and Traditional Management of Cotton Fields-Evidence from Cotton Fields in Xinjiang, China. Shao, Lantong,Gong, Jiaqin,Fan, Wenqing,Zhang, Zongyi,Zhang, Meng. 2022
[8]YOLO-WDNet: A lightweight and accurate model for weeds detection in cotton field. Xiangpeng Fan,Tan Sun,Xiujuan Chai,Jianping Zhou. 2024
[9]Plant-derived monoterpene S-linalool and β-ocimene generated by CsLIS and CsOCS-SCZ are key chemical cues for attracting parasitoid wasps for suppressing Ectropis obliqua infestation in Camellia sinensis L. Liu, Guanhua,Wang, Qian,Chen, Hui,Wang, Yuxi,Zhou, Xiaogui,Bao, Demeng,Wang, Nuo,Sun, Juan,Huang, Fuyin,Yang, Mei,Zhang, Han,Yan, Peng,Li, Xin,Shi, Jiang,Fu, Jianyu. 2024
[10]Lignin Metabolism Is Crucial in the Plant Responses to Tambocerus elongatus (Shen) in Camellia sinensis L.. Wenli Wang,Xiaogui Zhou,Qiang Hu,Qiuhong Wang,Yanjun Zhou,Jingbo Yu,Shibei Ge,Lan Zhang,Huawei Guo,Meijun Tang,Xin Li. 2025
[11]Effects of solar elevation angle on the visible light vegetation index of a cotton field when extracted from the UAV. Li, Jiancheng,Wu, Weimo,Zhao, Changwei,Bai, Xinlu,Dong, Lijun,Tan, Yujie,Yusup, MaYira,Akelebai, Guliye,Dong, Helin,Zhi, Jinhu. 2025
[12]ST-YOLO: a deep learning based intelligent identification model for salt tolerance of wild rice seedlings. Qiong Yao,Pan Pan,Xiaoming Zheng,Guomin Zhou,Jianhua Zhang. 2025
[13]Hazards of residual plastic film pollution in Xinjiang cotton fields and strategies for sustainable control: A review. Xianlin Zhou,Jianjun Yang,Fei cao,Qiang Dong,Meizhen Song. 2025
[14]Comparison of Color Model in Cotton Image Under Conditions of Natural Light. Zhang, J. H.,Kong, F. T.,Wu, J. Z.,Wang, S. W.,Liu, J. J.,Zhao, P.. 2016
[15]Artificial Neural Network to Predict Leaf Population Chlorophyll Content from Cotton Plant Images. Li Shao-kun,Wang Ke-ru,Wang Chong-tao,Suo Xing-mei,Jiang Ying-tao,Yang Mei. 2010
[16]DETECTION AND POSITION METHOD OF APPLE TREE IMAGE. Mao, Wenhua,Zhang, Xiaochao,Hub, Xiaoan,Mao, Wenhua,Jia, Baoping. 2009
[17]Motion Blurring Direction Identification Based on Second-Order Difference Spectrum. Zhang, Junxiong,Li, Wei,He, Fen. 2011
[18]Application of support vector machine for detecting rice diseases using shape and color texture features. Qing Yao , Zexin Guan , Yingfeng Zhou , Jian Tang , Yang Hu , Baojun Yang. 2009
[19]Diagnostic model for wheat leaf conditions using image features and a support vector machine. K. Du, Z. Sun, Y. Li, F. Zheng, J. Chu, Y. Su. 2016
[20]An Experimental Study of Axial Poisson's Ratio and Axial Young's Modulus Determination of Potato Stems Using Image Processing. Fan, Jiali,Li, Yuyao,Wang, Bing,Gu, Fengwei,Wu, Feng,Yang, Hongguang,Yu, Zhaoyang,Hu, Zhichao. 2022
