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1
Published in 2020 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-020-02505-x
Abstract: Agriculture is one of the most important sources of income for people in many countries. However, plant disease issues influence many farmers, as diseases in plants often naturally occur. If proper care is not taken,…
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Keywords:
plant;
disease;
plant disease;
leaf diseases ... 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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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3142817
Abstract: In recent years, plant leaf diseases has become a widespread problem for which an accurate research and rapid application of deep learning in plant disease classification is required. Beans is also one of the most…
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Keywords:
mobilenet;
leaf diseases;
classification;
disease ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3167513
Abstract: The difference of leaf disease images within the class is large but the difference between the class is small, so it is very important to represent the features of the local area of the target.…
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Keywords:
attention;
leaf diseases;
model;
categorization ... See more keywords
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3
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3244499
Abstract: The advancement of Deep Learning and Computer Vision in the field of agriculture has been found to be an effective tool in detecting harmful plant diseases. Classification and detection of healthy and diseased crops play…
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Keywords:
pca deepnet;
agro based;
leaf diseases;
tomato leaf ... See more keywords
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3
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3280260
Abstract: The presence of various maize plant leaf diseases has significantly decreased both the quality and quantity of crop production. In order to take the appropriate steps to prevent the occurrence of plant leaf diseases, it…
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Keywords:
leaf diseases;
plant leaf;
maize plant;
leaf ... See more keywords
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1
Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/6504616
Abstract: As possible diseases develop on plant leaves, classification is constantly hampered by obstacles such as overfitting and low accuracy. To distinguish healthy products from defective ones, the agricultural industry requires precise and error-free analysis. Deep…
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Keywords:
leaf diseases;
classification;
transfer learning;
deep transfer ... See more keywords
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1
Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0262629
Abstract: Apple tree diseases have perplexed orchard farmers for several years. At present, numerous studies have investigated deep learning for fruit and vegetable crop disease detection. Because of the complexity and variety of apple leaf veins…
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Keywords:
network;
leaf diseases;
apple;
apple leaf ... See more keywords
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0
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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1
Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.1008819
Abstract: In view of the problem that manual selection of hyperparameters may lead to low performance and large consumption of manpower cost of the convolutional neural network (CNN), this paper proposes a nonlinear convergence factor and…
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Keywords:
leaf diseases;
woacw simplenet;
rice leaf;
leaf ... See more keywords
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Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.864486
Abstract: Maize leaf diseases significantly reduce maize yield; therefore, monitoring and identifying the diseases during the growing season are crucial. Some of the current studies are based on images with simple backgrounds, and the realistic field…
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Keywords:
attention mechanism;
leaf diseases;
maize leaf;
leaf ... See more keywords