Articles with "leaf diseases" as a keyword



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Recognition of plant leaf diseases based on computer vision

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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,… read more here.

Keywords: plant; disease; plant disease; leaf diseases ... See more keywords
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Grape Leaf Diseases Identification System Using Convolutional Neural Networks and LoRa Technology

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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… read more here.

Keywords: grape; leaf diseases; grape leaf; transmission ... See more keywords
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Beans Leaf Diseases Classification Using MobileNet Models

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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… read more here.

Keywords: mobilenet; leaf diseases; classification; disease ... See more keywords
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Plant Leaf Diseases Fine-Grained Categorization Using Convolutional Neural Networks

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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.… read more here.

Keywords: attention; leaf diseases; model; categorization ... See more keywords
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Detection of Tomato Leaf Diseases for Agro-Based Industries Using Novel PCA DeepNet

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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… read more here.

Keywords: pca deepnet; agro based; leaf diseases; tomato leaf ... See more keywords
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MaizeNet: A deep learning approach for effective recognition of maize plant leaf diseases

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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… read more here.

Keywords: leaf diseases; plant leaf; maize plant; leaf ... See more keywords
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A Hybrid Model for Leaf Diseases Classification Based on the Modified Deep Transfer Learning and Ensemble Approach for Agricultural AIoT-Based Monitoring

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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… read more here.

Keywords: leaf diseases; classification; transfer learning; deep transfer ... See more keywords
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A method of detecting apple leaf diseases based on improved convolutional neural network

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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… read more here.

Keywords: network; leaf diseases; apple; apple leaf ... See more keywords
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A Deep-Learning-Based Real-Time Detector for Grape Leaf Diseases Using Improved Convolutional Neural Networks

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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… read more here.

Keywords: grape; leaf diseases; grape leaf; real time ... See more keywords
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Image classification and identification for rice leaf diseases based on improved WOACW_SimpleNet

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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… read more here.

Keywords: leaf diseases; woacw simplenet; rice leaf; leaf ... See more keywords
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Deep Learning-Based Identification of Maize Leaf Diseases Is Improved by an Attention Mechanism: Self-Attention

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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… read more here.

Keywords: attention mechanism; leaf diseases; maize leaf; leaf ... See more keywords