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Shuaibo Shao, Yuanping Li, Zhongwei Li, Xiaoxiao Ma, Yanqi Zhu, Yuqing Luo, Pumo Cai, Xiaoli Jia, Christopher Rensing and Qisong Li
This study focused on examining the early stages of tea cultivation (1, 3, and 5 years) in mountainous tea plantations. It specifically aimed to investigate the changes in soil micro-ecology at different locations (inter-row, terrace surfaces, and terrac...
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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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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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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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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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Zijia Yang, Hailin Feng, Yaoping Ruan and Xiang Weng
Timely and accurate identification of tea tree pests is critical for effective tea tree pest control. We collected image data sets of eight common tea tree pests to accurately represent the true appearance of various aspects of tea tree pests. The datase...
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Anuruddha Gamage,Widana Pathiranage Richard Wickramaratne
Pág. 39 - 51
The purpose of this research was to identify Sustainable Human Resource Management Practices (SHRMPs) which enhance worker productivity and to validate a Human Resource Management (HRM) model, derived by the authors in previous qualitative studies. The s...
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Lin-Yi Tsai, Chi-Feng Chen, Chi-Hsuan Fan and Jen-Yang Lin
Models are necessary tools for watershed management. However, applying watershed models is time consuming and requires technical knowledge, including model selection and validation. The objective of this study is to assess two commonly used watershed mod...
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