Zobrazeno 1 - 10
of 1 125
pro vyhledávání: '"Tea leaf"'
Publikováno v:
BMC Microbiology, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Research background and purpose Soil microorganisms that are closely related to plants are important factors affecting plant health. Therefore, elucidating the abundant and rare bacterial species in soil associated with plant diseases is cru
Externí odkaz:
https://doaj.org/article/c4ba8a0d66534c48b84cc9a632f6930a
Publikováno v:
Dynamics, Vol 4, Iss 3, Pp 747-756 (2024)
The Tea Leaf Paradox (TLP) describes unsteady fluid motions which help entrain and deposit suspended particles at the center of rotation. Various applications depend on the TLP for particle separations—spanning orders of magnitude in length scales
Externí odkaz:
https://doaj.org/article/30a26be181e542c099645981ac4ba72a
Publikováno v:
Cafés/Bars in Singapore. 3/19/2024, p1-4. 4p.
Publikováno v:
Water Reuse, Vol 14, Iss 2, Pp 160-176 (2024)
Green synthesis of nanoparticles (NPs) is considered a highly promising technology for materials. The use of plant-based NPs is the simplest with high reproducibility. Iron nanoparticles (Fe-NPs) were synthesized by pruned tea leaf extract and FeSO4
Externí odkaz:
https://doaj.org/article/171a0c42665848b4b5af1cef6d8d7655
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Globally, tea production and its quality fundamentally depend on tea leaves, which are susceptible to invasion by pathogenic organisms. Precise and early-stage identification of plant foliage diseases is a key element in preventing and contr
Externí odkaz:
https://doaj.org/article/76c48d7f09134685bbb597e0d05a394c
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:
Olexander MASLOV, Mykola KOMISARENKO, Dmytro PLIS, Svitlana PONOMARENKO, Tetiana OSOLODCHENKO, Sergii KOLISNYK
Publikováno v:
Notulae Scientia Biologicae, Vol 16, Iss 3 (2024)
Infection diseases is a worldwide important problem for medicine and pharmacy. The purpose of this work was to study and compare phytochemical composition, antimicrobial, antioxidant potential of pomegranate fruit thick and green tea leaf liquid extr
Externí odkaz:
https://doaj.org/article/3ff0eb461e4948aa8d2d7bbea7cc52f0
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Accurate detection of tea leaf diseases and insects is crucial for their scientific and effective prevention and control, essential for ensuring the quality and yield of tea. Traditional methods for identifying tea leaf diseases and insects primarily
Externí odkaz:
https://doaj.org/article/ebbd63030304451e8d6748b74065e00c
Publikováno v:
Advances in Bamboo Science, Vol 8, Iss , Pp 100099- (2024)
The disposal of bamboo processing residues and spent tea leaves is an environmental concern, but their reuse as compost can be not only reduce the amount of waste, but can also convert the waste products into valuable resources that provide nutrients
Externí odkaz:
https://doaj.org/article/77cb60dfcd9f49daa9ebe59a5925b676
Publikováno v:
Operational Research in Engineering Sciences: Theory and Applications, Vol 7, Iss 2 (2024)
Tea is a significant crop and deeply loved by individuals. In earlier times, the identification of tea leaf diseases and pests was manual and inefficient. With the increasing application of AI (artificial intelligence), deep learning and image recogn
Externí odkaz:
https://doaj.org/article/59b504a926f54c69a4a4e91e42a04479