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Jianghua Ye, Qi Zhang, Miao Jia, Yuhua Wang, Ying Zhang, Xiaoli Jia, Xinyu Zheng and Haibin Wang
Rock zones have an important influence on the yield and quality of Wuyi rock tea. In this study, OPLS-DA combined with machine learning was used to analyze the effects of different rock zones and tea tree varieties on the physicochemical properties of rh...
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Lixue Zhu, Zhihao Zhang, Guichao Lin, Pinlan Chen, Xiaomin Li and Shiang Zhang
Currently, the detection and localization of tea buds within the unstructured tea plantation environment are greatly challenged due to their small size, significant morphological and growth height variations, and dense spatial distribution. To solve this...
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Na Luo, Yunlong Li, Baohua Yang, Biyun Liu and Qianying Dai
The content of tea polyphenols (TP) is one of the important indicators for judging the quality of tea. Accurate and non-destructive estimation technology for tea polyphenol content has attracted more and more attention, which has become a key technology ...
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Zuguo Xi, Huiyan Jia, Yifan Li, Jinqing Ma, Mengqian Lu, Zhihui Wang, Dexu Kong and Wei-Wei Deng
Tea is a healthy beverage made from the leaves of the tea plant [Camellia sinensis (L.) O. Kuntze]. The tea plant is a perennial evergreen plant that is widely distributed in tropical and subtropical regions. PR proteins (pathogenesis-related proteins, P...
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Xiaochen Wen, Tongtong Xie, Xinying Chen, Jie Li, Xiaoyang Han and Haiwei Sun
In order to obtain the quality information of Taishan black tea and provide data support for the establishment of assessment criteria for quality control of Taishan black tea, in this study, 45 samples of Taishan black tea were collected during the summe...
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Rebecca Boehm, Sean B. Cash, Bruce T. Anderson, Selena Ahmed, Timothy S. Griffin, Albert Robbat, John Richard Stepp, Wenyan Han, Matt Hazel and Colin M. Orians
Farmers in China?s tea-growing regions report that monsoon dynamics and other weather factors are changing and that this is affecting tea harvest decisions. To assess the effect of climate change on tea production in China, this study uses historical wea...
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Kun-Yi Chen, Chi-Yu Chang, Zhi-Ren Tsai, Chun-Ting Lee, Zon-Yin Shae
Pág. 199 - 212
To solve tea image classification problems, this study focuses on triplet loss convolutional neural network to classify six high-mountain oolong tea classes. In the experiment, instead of using traditional deep learning training approach for local featur...
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Muhammad Chadhir
Pág. 292 - 300
Salah satu hasil perkebunan di Indonesia adalah komoditi teh yang mempunyai kontribusi penting dalam menghasilkan devisa negara. Fluktuasi pada ekspor teh Indonesia secara keseluruhan baik volume maupun nilai ekspor teh Indonesia, ternyata tidak mempenga...
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Dongdong Li, Rongyang Wang, Yingpeng Zhu, Jianneng Chen, Guofeng Zhang and Chuanyu Wu
To address the problem of a lack of accurate parameters in the discrete element simulation study of the machine-picked fresh tea leaf mechanized-sorting process, this study used machine-picked fresh tea leaves as the research object, established discrete...
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Jianwei Geng, Hengpeng Li, Wenfei Luan, Yunjie Shi, Jiaping Pang and Wangshou Zhang
The tea plant (Camellia sinensis), as a major, global cash crop providing beverages, is facing major challenges from droughts and water shortages due to climate change. The accurate estimation of the actual evapotranspiration (ETa) of tea plants is essen...
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Kun Luo, Zhengmin Wu, Chengmao Cao, Kuan Qin, Xuechen Zhang and Minhui An
To date, mechanized picking of famous tea (bud, one bud one leaf) causes a lot of damage. Manual picking results in high-quality tea but the process is inefficient. Therefore, in order to improve the quality of mechanically harvested tea buds, the study ...
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Anuruddha Gamage,Widana Pathiranage Richard Wickramaratne
Pág. 50 - 59
Tea industry plays a prominent and strategic role in Sri Lanka due to its significant impact on national output, employment and socio-economic status. Therefore, the overall worker productivity in tea industry plays an integral role in terms of national ...
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Zhiwei Chen, Jianneng Chen, Yang Li, Zhiyong Gui and Taojie Yu
The precise detection and positioning of tea buds are among the major issues in tea picking automation. In this study, a novel algorithm for detecting tea buds and estimating their poses in a field environment was proposed by using a depth camera. This a...
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Kexiao Xie, Dongkai Lin, Weihan Zhu, Yongqiang Ma, Jiaxiong Qiu, Youcheng Chen and Zhidan Chen
Tea is a global economic crop. In the traditional sales model, the quality of tea is difficult to judge via external clues, and it basically relies on consumers to taste and experience it firsthand. However, currently, most e-commerce platforms can only ...
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Fadhilah Ramadhani
Abstrak ___________________________________________________________________ Teh merupakan komoditas sub sektor perkebunan yang pernah mengalami kejayaan selama dua puluh tahun terakhir. Namun dari tahun ke tahun peringkat teh Indonesia di pasar internasi...
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Peng Xue, Qing Li and Guodong Fu
Aiming at the current complex problem of the mechanized high-quality picking of tender tea buds, this paper designs a tender tea bud-picking manipulator. In the picking process, the quality of the petiole and leaf blade of the tender tea bud is crucial, ...
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Qi Zhang, Yuhua Wang, Yiling Chen, Ying Zhang, Meihui Chen, Jishuang Zou, Pengyao Miao, Jianghua Ye, Xiaomin Pang, Xiaoli Jia and Haibin Wang
Pruning is an agronomic practice that contributes to tea tree yield during cultivation, but little is known about how pruning improves yield through shifting bacterial communities in rhizosphere soil. Therefore, Meizhan tea (Camellia sinensis) was used a...
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Yanling Liu, Meng Zhang, Yu Li, Yarong Zhang, Xingcheng Huang, Yehua Yang, Huaqing Zhu, Han Xiong and Taiming Jiang
Nitrogen (N) fertilizer application is one of the causes of soil acidification at tea plantations. However, the effect of N fertilizer application on the soil acidification characteristics of tea plantations with different acidities remains unclear. In t...
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Qiang Huang, Zongyuan Wu, Mantao Wang, Youzhi Tao, Yinghao He and Francesco Marinello
This study proposes an improved link prediction model for predicting the ?suitable for people? relationship within the knowledge graph of tea. The relationships between various types of tea and suitable target groups have yet to be fully explored, and th...
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Yuhua Wang, Qi Zhang, Jianjuan Li, Shaoxiong Lin, Xiaoli Jia, Qingxu Zhang, Jianghua Ye, Haibin Wang and Zeyan Wu
In order to fully comprehend the impact of soil acidification on the quality of tea, further analyses are essential and are of the utmost importance to the cultivation of tea trees and the simultaneous enhancement of tea quality. In May 2022, Tieguanyin ...
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