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TEA: Temporal Excitation and Aggregation for Action Recognition [PDF]

open access: yesComputer Vision and Pattern Recognition, 2020
Temporal modeling is key for action recognition in videos. It normally considers both short-range motions and long-range aggregations. In this paper, we propose a Temporal Excitation and Aggregation (TEA) block, including a motion excitation (ME) module ...
Yan Li   +5 more
semanticscholar   +1 more source

YOLO-Tea: A Tea Disease Detection Model Improved by YOLOv5

open access: yesForests, 2023
Diseases and insect pests of tea leaves cause huge economic losses to the tea industry every year, so the accurate identification of them is significant.
Zhenyang Xue   +3 more
semanticscholar   +1 more source

Tea leaf disease detection and identification based on YOLOv7 (YOLO-T)

open access: yesScientific Reports, 2023
A reliable and accurate diagnosis and identification system is required to prevent and manage tea leaf diseases. Tea leaf diseases are detected manually, increasing time and affecting yield quality and productivity.
M. J. A. Soeb   +8 more
semanticscholar   +1 more source

Population structure analysis to explore genetic diversity and geographical distribution characteristics of cultivated-type tea plant in Guizhou Plateau

open access: yesBMC Plant Biology, 2022
Background Tea plants originated in southwestern China. Guizhou Plateau is an original center of tea plants, and is rich in germplasm resources. However, the genetic diversity, population structure and distribution characteristics of cultivated-type tea ...
Zhifei Zhao   +9 more
doaj   +1 more source

Genome-wide association study of leaf-related traits in tea plant in Guizhou based on genotyping-by-sequencing

open access: yesBMC Plant Biology, 2023
Background Studying the genetic characteristics of tea plant (Camellia spp.) leaf traits is essential for improving yield and quality through breeding and selection.
Yanjun Chen   +6 more
doaj   +1 more source

Tea and tea drinking: China’s outstanding contributions to the mankind

open access: yesChinese Medicine, 2022
Background Tea trees originated in southwest China 60 million or 70 million years ago. Written records show that Chinese ancestors had begun drinking tea over 3000 years ago.
S. Pan   +15 more
semanticscholar   +1 more source

Green Tea (Camellia sinensis): A Review of Its Phytochemistry, Pharmacology, and Toxicology

open access: yesMolecules, 2022
Objectives Green tea (Camellia sinensis) is a kind of unfermented tea that retains the natural substance in fresh leaves to a great extent. It is regarded as the second most popular drink in the world besides water.
Tiantian Zhao   +3 more
semanticscholar   +1 more source

Enzymatic fermentation of rapeseed cake significantly improved the soil environment of tea rhizosphere

open access: yesBMC Microbiology, 2023
Background Rapeseed cake is an important agricultural waste. After enzymatic fermentation, rapeseed cake not only has specific microbial diversity but also contains a lot of fatty acids, organic acids, amino acids and their derivatives, which has ...
Yujie Song   +12 more
doaj   +1 more source

Improved phyllosphere microbiome composition of tea plant with the application of small peptides in combination with rhamnolipid

open access: yesBMC Microbiology, 2023
Background Small peptides play a crucial role in plant growth and adaptation to the environment. Exogenous small peptides are often applied together with surfactants as foliar fertilizers, but the impact of small peptides and surfactants on the tea ...
Hao Chen   +10 more
doaj   +1 more source

Green Tea Catechins: Nature’s Way of Preventing and Treating Cancer

open access: yesInternational Journal of Molecular Sciences, 2022
Green tea’s (Camellia sinensis) anticancer and anti-inflammatory effects are well-known. Catechins are the most effective antioxidants among the physiologically active compounds found in Camellia sinesis.
Mohd Farhan
semanticscholar   +1 more source

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