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Published in 2022 at "Pest management science"
DOI: 10.1002/ps.7299
Abstract: BACKGROUND Grape and leaf quality are often severely reduced by fungi such as grey rot Botrytis cinerea Pers., powdery mildew Erysiphe necator Schwein, downy mildew Plasmopara viticola (Berk. & M.A.Curtis) Berl. & De Toni and…
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Keywords:
grape leaf;
kinetics pesticides;
dissipation;
degradation ... See more keywords
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Published in 2021 at "Microbial ecology"
DOI: 10.1007/s00248-021-01698-8
Abstract: With the recent advancement of next-generation sequencing methods, there has been an increase in studies on identification of vineyard microbiota, winery-associated microbiota, and microbiota in wine fermentation. However, there have been few studies investigating the…
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Keywords:
grape;
microbiota;
table grapes;
leaf ... See more keywords
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1
Published in 2020 at "Plant Growth Regulation"
DOI: 10.1007/s10725-020-00593-5
Abstract: Ozone can cause damage to plant tissues. However, little information is available about this global and systematic damage mechanism of grape leaf photosynthetic apparatus. In this study, tandem mass tags (TMT) analysis and physiological responses…
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Keywords:
grape leaf;
damage;
ozone stress;
ozone ... See more keywords
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Published in 2024 at "Biocontrol Science and Technology"
DOI: 10.1080/09583157.2024.2396982
Abstract: ABSTRACT Western grape leaf skeletonizer was first reported in southern California in 1941 and soon became a serious pest of commercially produced grapes in that region. Their gregarious larvae can easily defoliate vineyards and they…
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Keywords:
western grape;
california;
leaf skeletonizer;
grape leaf ... See more keywords
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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2021.3138050
Abstract: Image transmission over Low-Power Wide Area Networks (LP-WAN) protocols has always been a difficult task since it necessitates high data rates and high energy consumption. Long Range (LoRa) is one such protocol, which is excellent…
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Keywords:
grape;
leaf diseases;
grape leaf;
transmission ... See more keywords
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Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0321788
Abstract: Aiming at the problems of low recognition rate of small target spots in grape leaf images and low detection accuracy due to low resolution of input images. In this paper, an improved recognition network based…
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Keywords:
detection;
attention;
network;
black rot ... See more keywords
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Published in 2020 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2020.00751
Abstract: Black rot, Black measles, Leaf blight and Mites of grape are four common grape leaf diseases that seriously affect grape yield. However, the existing research lacks a real-time detecting method for grape leaf diseases, which…
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Keywords:
grape;
leaf diseases;
grape leaf;
real time ... See more keywords
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Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14093727
Abstract: With the application of computer vision in the field of agricultural disease recognition, the convolutional neural network is widely used in grape leaf disease recognition and has achieved remarkable results. However, most of the grape…
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Keywords:
domain;
fourier domain;
domain data;
domain adaptation ... See more keywords
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Published in 2025 at "Plants"
DOI: 10.3390/plants14233581
Abstract: Accurate identification of grape leaf varieties is an important prerequisite for effective viticulture management, contributing to breeding programs, cultivation strategies, and precision field operations. However, reliable recognition in complex field environments remains challenging. Subtle interclass…
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Keywords:
mobilenetv3 small;
model;
identification;
grape leaf ... See more keywords