Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Baijuan Wang"'
Autor:
Yuxin Xia, Wenxia Yuan, Shihao Zhang, Qiaomei Wang, Xiaohui Liu, Houqiao Wang, Yamin Wu, Chunhua Yang, Jiayi Xu, Lei Li, Junjie He, Zhiyong Cao, Zejun Wang, Zihua Zhao, Baijuan Wang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract To address the issues of low accuracy and slow response speed in tea disease classification and identification, an improved YOLOv7 lightweight model was proposed in this study. The lightweight MobileNeXt was used as the backbone network to r
Externí odkaz:
https://doaj.org/article/967a195f14fc4a54a83cbbc8dd11f0d5
Autor:
Sihan Deng, Tianfang Zhang, Suhang Fan, Huahua Na, Haiyu Dong, Baijuan Wang, Ying Gao, Yong-Quan Xu, Xiaohui Liu
Publikováno v:
Food Chemistry: X, Vol 23, Iss , Pp 101726- (2024)
Mellow and thick taste (MTT) is considered to be a typical taste characteristic of high-quality Pu-erh ripe tea. However, the role of polysaccharide conjugates remains unclear. In this study, the infusion of different grades of Pu-erh ripe tea was is
Externí odkaz:
https://doaj.org/article/7679d618862842dcba8cd1b765d55f8d
Autor:
Xiaohui Zhou, Di Tian, Hongjie Zhou, Rui Dong, Chenyang Ma, Ling Ren, Xueyi Yang, Qingyi Wang, Ning Chen, Liubo Yang, Xuan Tang, Yixin Bi, Yapeng Liu, Xiujuan Deng, Baijuan Wang, Yali Li
Publikováno v:
Foods, Vol 13, Iss 16, p 2595 (2024)
To further develop Liupao tea products and enhance their flavor, this study investigated the effects of different fermentation methods on the aroma quality of Liupao tea. The aroma quality of Liupao tea was comprehensively analyzed using HS-SPME in c
Externí odkaz:
https://doaj.org/article/28bc363879874285bbd08c2bfe2fd256
Autor:
Junjie He, Shihao Zhang, Chunhua Yang, Houqiao Wang, Jun Gao, Wei Huang, Qiaomei Wang, Xinghua Wang, Wenxia Yuan, Yamin Wu, Lei Li, Jiayi Xu, Zejun Wang, Rukui Zhang, Baijuan Wang
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionIn order to solve the problem of precise identification and counting of tea pests, this study has proposed a novel tea pest identification method based on improved YOLOv7 network.MethodsThis method used MPDIoU to optimize the original los
Externí odkaz:
https://doaj.org/article/f601dd18b38146008070192fe08c5a38
Publikováno v:
BMC Microbiology, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background Endophytic bacteria provide nutrients and stimulate systemic resistance during seed germination and plant growth and development, and their functional properties in combating various stresses make them a powerful tool in green agr
Externí odkaz:
https://doaj.org/article/41a86a8f8e494739be03389f936f7efd
Publikováno v:
Agronomy, Vol 14, Iss 7, p 1501 (2024)
Crop diseases pose a major threat to agricultural production, quality, and sustainable development, highlighting the importance of early disease risk prediction for effective disease control. Tea anthracnose can easily occur in Yunnan under high-temp
Externí odkaz:
https://doaj.org/article/cad5cea191d0449d81303fbc8803ec1c
Autor:
Yuxin Xia, Zejun Wang, Zhiyong Cao, Yaping Chen, Limei Li, Lijiao Chen, Shihao Zhang, Chun Wang, Hongxu Li, Baijuan Wang
Publikováno v:
Agronomy, Vol 14, Iss 6, p 1251 (2024)
Grading tea leaves efficiently in a natural environment is a crucial technological foundation for the automation of tea-picking robots. In this study, to solve the problems of dense distribution, limited feature-extraction ability, and false detectio
Externí odkaz:
https://doaj.org/article/2ca7e27d8b434d56b0de46783a810f25
Autor:
Zejun Wang, Chunhua Yang, Raoqiong Che, Hongxu Li, Yaping Chen, Lijiao Chen, Wenxia Yuan, Fang Yang, Juan Tian, Baijuan Wang
Publikováno v:
Agronomy, Vol 14, Iss 4, p 844 (2024)
The 6-DOF Stewart parallel elevation platform serves as the platform for mounting the tea-picking robotic arm, significantly impacting the operational scope, velocity, and harvesting precision of the robotic arm. Utilizing the Stewart setup, a parall
Externí odkaz:
https://doaj.org/article/246cb6da689d45af90bb0ba9fd1120ac
Autor:
Lei Li, Yamin Wu, Houqiao Wang, Junjie He, Qiaomei Wang, Jiayi Xu, Yuxin Xia, Wenxia Yuan, Shuyi Chen, Lin Tao, Xinghua Wang, Baijuan Wang
Publikováno v:
Agriculture, Vol 14, Iss 2, p 296 (2024)
To investigate the variation in flavonoids content in ancient tree sun–dried green tea under abiotic stress environmental conditions, this study determined the flavonoids content in ancient tree sun−dried green tea and analyzed its correlation wi
Externí odkaz:
https://doaj.org/article/7c74153f78a3458986aab958a3133659
Autor:
Baijuan Wang, Chunhua Yang, Shihao Zhang, Junjie He, Xiujuan Deng, Jun Gao, Lei Li, Yamin Wu, Zongpei Fan, Yuxin Xia, Qicong Guo, Wenxia Yuan, Yuefei Wang
Publikováno v:
Agronomy, Vol 13, Iss 10, p 2475 (2023)
To explore the changes in epigallocatechin gallate (EGCG) content in tea under abiotic stress conditions, we collected tea samples, along with corresponding soil and altitude data, and utilized the measured data for single-factor analysis. At the sam
Externí odkaz:
https://doaj.org/article/539ff6c9bfa1443fa68023136caa4d68