Construction and verification of machine vision algorithm model based on apple leaf disease images [PDF]
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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Diagnosis and Mobile Application of Apple Leaf Disease Degree Based on a Small-Sample Dataset [PDF]
Plants, 2023 The accurate segmentation of apple leaf disease spots is the key to identifying the classification of apple leaf diseases and disease severity. Therefore, a DeepLabV3+ semantic segmentation network model with an actors spatial pyramid pool module (ASPP ...
Lili Li, Bin Wang, Yanwen Li, Hua Yang
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Dilated convolution capsule network for apple leaf disease identification [PDF]
Frontiers in Plant Science, 2022 Accurate and rapid identification of apple leaf diseases is the basis for preventing and treating apple diseases. However, it is challenging to identify apple leaf diseases due to their various symptoms, different colors, irregular shapes, uneven sizes ...
Cong Xu, Xuqi Wang, Shanwen Zhang
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YOLOV5-CBAM-C3TR: an optimized model based on transformer module and attention mechanism for apple leaf disease detection [PDF]
Frontiers in Plant Science, 2023 Apple trees face various challenges during cultivation. Apple leaves, as the key part of the apple tree for photosynthesis, occupy most of the area of the tree.
Meng Lv, Wen-Hao Su
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Apple Leaf Disease Identification in Complex Background Based on BAM-Net
Agronomy, 2023 Apples are susceptible to infection by various pathogens during growth, which induces various leaf diseases and thus affects apple quality and yield. The timely and accurate identification of apple leaf diseases is essential to ensure the high-quality ...
Yuxi Gao +5 more
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MGA-YOLO: A lightweight one-stage network for apple leaf disease detection [PDF]
Frontiers in Plant Science, 2022 Apple leaf diseases seriously damage the yield and quality of apples. Current apple leaf disease diagnosis methods primarily rely on human visual inspection, which often results in low efficiency and insufficient accuracy. Many computer vision algorithms
Yiwen Wang, Yaojun Wang, Jingbo Zhao
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YOLO-ACT: an adaptive cross-layer integration method for apple leaf disease detection [PDF]
Frontiers in Plant ScienceApple is a significant economic crop in China, and leaf diseases represent a major challenge to its growth and yield. To enhance the efficiency of disease detection, this paper proposes an Adaptive Cross-layer Integration Method for apple leaf disease ...
Silu Zhang +6 more
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Apple leaf disease severity grading based on deep learning and the DRL-Watershed algorithm [PDF]
Scientific ReportsApple leaf diseases significantly impair the photosynthetic efficiency and growth quality of apple trees, leading to reduced fruit yields. Existing methods for disease detection and severity classification struggle to quickly and accurately segment and ...
Zhifang Bi +7 more
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Apple Leaf Disease Identification with a Small and Imbalanced Dataset Based on Lightweight Convolutional Networks [PDF]
Sensors, 2021 The intelligent identification and classification of plant diseases is an important research objective in agriculture. In this study, in order to realize the rapid and accurate identification of apple leaf disease, a new lightweight convolutional neural ...
Lili Li, Shujuan Zhang, Bin Wang
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Remote Sensing, 2022 In many parts of the world, apple trees suffer from severe foliar damage each year due to infection of Alternaria blotch (Alternaria alternata f. sp. Mali), resulting in serious economic losses to growers.
Bo-Yuan Liu +3 more
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