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Published in 2025 at "European Journal of Plant Pathology"
DOI: 10.1007/s10658-025-03011-6
Abstract: Macadamia is an Australian native tree grown for its edible kernel in tropical and subtropical regions worldwide. However, there is limited knowledge about the fungal leaf pathogens that can infect macadamia nursery plants and potentially…
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Keywords:
macadamia nurseries;
leaf diseases;
leaf blight;
prevalence identity ... See more keywords
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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,…
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Keywords:
plant;
disease;
plant disease;
leaf diseases ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-06843-8
Abstract: Detecting rice leaf diseases is essential for agricultural stability and crop health. However, the diversity of these diseases, their uneven distribution, and complex field environments create challenges for precise, multi-scale detection. While YOLO object detection…
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Keywords:
detection;
leaf diseases;
lightweight efficient;
rice leaf ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-16923-4
Abstract: Citrus fruits, especially lemons, play a vital economic and nutritional role worldwide but are increasingly threatened by a wide range of diseases that diminish yield quality and quantity. Traditional manual and automated methods for disease…
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Keywords:
methodology;
leaf diseases;
image;
citrus ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-26144-4
Abstract: Detecting leaf diseases is crucial for ensuring crop health and boosting agricultural productivity. An advanced deep learning-based framework is introduced for cassava and groundnut leaf disease detection, incorporating a suite of innovative techniques to enhance…
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Keywords:
leaf diseases;
attention network;
network;
leaf ... See more keywords
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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…
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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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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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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