Enhanced Disease Detection for Apple Leaves with Rotating Feature Extraction [PDF]
AgronomyLeaf diseases such as Mosaic disease and Black Rot are among the most common diseases affecting apple leaves, significantly reducing apple yield and quality. Detecting leaf diseases is crucial for the prevention and control of these conditions.
Zhihui Qiu +4 more
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Mobile-CBSD: A Lightweight Apple Leaf Disease Detection Model Based on Improved YOLOv11
Applied SciencesApple leaf diseases can significantly affect the yield and quality of apple crops. However, conventional manual detection methods are inefficient and highly susceptible to subjective judgment, rendering them inadequate for large-scale agricultural ...
Jinpu Xu +4 more
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Construction and verification of machine vision algorithm model based on apple leaf disease images
Frontiers in Plant Science, 2023 Apple leaf diseases without timely control will affect fruit quality and yield, intelligent detection of apple leaf diseases was especially important.
Gao Ang +9 more
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Detection of Apple Leaf Diseases Based on LightYOLO-AppleLeafDx
PlantsEarly detection of apple leaf diseases is essential for enhancing orchard management efficiency and crop yield. This study introduces LightYOLO-AppleLeafDx, a lightweight detection framework based on an improved YOLOv8 model. Key enhancements include the
Hongyan Zou, Peng Lv, Maocheng Zhao
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A method of detecting apple leaf diseases based on improved convolutional neural network.
PLoS ONE, 2022 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.
Jie Di, Qing Li
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Plants, 2023 Apple leaf diseases are one of the most important factors that reduce apple quality and yield. The object detection technology based on deep learning can detect diseases in a timely manner and help automate disease control, thereby reducing economic ...
Xing Gao +5 more
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Apple Leaf Disease Detection Based on Improved YOLOv11 with DSSA Mechanism. [PDF]
Plants (Basel)Visual inspection of apple leaf diseases is inefficient and subjective, limiting large-scale orchard applications. To realize rapid and accurate disease identification, this paper proposes an improved YOLOv11 model integrated with a Dual Sparse Selection
Zhang Y, Tian J, Zhang D.
europepmc +2 more sources
Identification and pathogenicity of Alternaria species associated with leaf blotch disease and premature defoliation in French apple orchards [PDF]
PeerJ, 2021 Leaf blotch caused by Alternaria spp. is a common disease in apple-producing regions. The disease is usually associated with one phylogenetic species and one species complex, Alternaria alternata and the Alternaria arborescens species complex (A ...
Kévin Fontaine +11 more
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Sequence diversity and potential recombination events in the coat protein gene of Apple stem pitting virus. [PDF]
, 2011 The variability of the Apple stem pitting virus (ASPV) coat protein (CP) gene was investigated. The CP gene of ten virus isolates from apple and pear trees was sequenced.
Malinowski, Tadeusz +4 more
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Detection of Apple Leaf Diseases using Faster R-CNN
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2020 Image recognition-based automated disease detection systems play animportant role in the early detection of plant leaf diseases. In this study, anapple leaf disease detection system was proposed using Faster Region-BasedConvolutional Neural Network ...
Melike Sardoğan +2 more
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