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Shun Zou, Chumin Huang, Yang Chen, Xiaolong Bai, Wangjun Li and Bin He
Nitrogen (N) and phosphorus (P) play crucial roles in tea planting, but information on how the long-term excessive application of chemical N fertilizer affected N and P in subtropical tea plantations remains limited. In this study, soil and leaf samples ...
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Yingliang Yu, Yafei Zhang, Bei Yang, Cong Qian, Yizhi Wang, Taifeng Chen, Xuemei Han, Linzhang Yang and Lihong Xue
(1) Background: Excessive nitrogen (N) fertilizer application in tea plantations leads to challenges such as soil acidification and nitrogen loss, impending the sustainable development of the plantation system. Yet, there is a lack of research on blended...
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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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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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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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Ruiqing Wang, Jinlei Feng, Wu Zhang, Bo Liu, Tao Wang, Chenlu Zhang, Shaoxiang Xu, Lifu Zhang, Guanpeng Zuo, Yixi Lv, Zhe Zheng, Yu Hong and Xiuqi Wang
This paper proposes a data anomaly detection and correction algorithm for the tea plantation IoT system based on deep learning, aiming at the multi-cause and multi-feature characteristics of abnormal data. The algorithm is based on the Z-score standardiz...
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Kunqian Cao, Rongmeng Lan, Xiuju Yang, Bing Gong, Jingjing Zhang, Xia Zhou and Linhong Jin
Scopula subpunctaria (Herrich-Schaeffer) (Lepidoptera: Geometridae) is a leaf-eating pest in tea plantations that often causes serious economic losses. Arma chinensis (Fallou) (Hemiptera: Pentatomidae) as a polyphagous insect has become one of the main b...
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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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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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Aung Zaw Oo, Shigeto Sudo, Khin Thuzar Win, Akira Shibata, Tomohito Sano and Yuhei Hirono
A laboratory incubation experiment is conducted for 90 days under controlled conditions where either pruning residue or its biochar is applied to determine which application generates the lowest amount of greenhouse gas from tea plantation soil. To study...
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