Investigating the heat stability, calorimetric degradations and chromatographic polyphenolic profiling of edible macerated hog-tree apple leaf (Morinda lucida Benth)
Sign Up to like & getrecommendations! Published in 2020 at "Chemical Papers"
DOI: 10.1007/s11696-020-01382-0
Abstract: The increasing demand for food-based bio-products has necessitated screening characterizations and microstructural elucidation. In this study, different analytical techniques were employed to investigate the thermal stability, morphological changes and phenolic profile of macerated hog-tree apple… read more here.
Keywords: macerated hog; hog tree; morinda lucida; lucida benth ... See more keywords
VMF-SSD: A Novel V-Space based Multi-scale Feature Fusion SSD for Apple Leaf Disease Detection.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3229114
Abstract: Apple leaf diseases seriously affect the quality of apples and may lead to yield losses, detecting apple leaf diseases accurately can prevent diseases from spreading and promote the healthy growth of the industry. However, recent… read more here.
Keywords: multi scale; feature; detection; apple leaf ... See more keywords
A method of detecting apple leaf diseases based on improved convolutional neural network
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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
Lightweight-Convolutional Neural Network for Apple Leaf Disease Identification
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DOI: 10.3389/fpls.2022.831219
Abstract: As a widely consumed fruit worldwide, it is extremely important to prevent and control disease in apple trees. In this research, we designed convolutional neural networks (CNNs) for five diseases that affect apple tree leaves… read more here.
Keywords: convolutional neural; apple; apple leaf; model ... See more keywords
MGA-YOLO: A lightweight one-stage network for apple leaf disease detection
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.927424
Abstract: 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… read more here.
Keywords: network; disease; yolo; apple ... See more keywords
EADD-YOLO: An efficient and accurate disease detector for apple leaf using improved lightweight YOLOv5
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2023.1120724
Abstract: Introduction Current detection methods for apple leaf diseases still suffer some challenges, such as the high number of parameters, low detection speed and poor detection performance for small dense spots, which limit the practical applications… read more here.
Keywords: disease; detection; apple leaf; eadd yolo ... See more keywords
Method for Classifying Apple Leaf Diseases Based on Dual Attention and Multi-Scale Feature Extraction
Sign Up to like & getrecommendations! Published in 2023 at "Agriculture"
DOI: 10.3390/agriculture13050940
Abstract: Image datasets acquired from orchards are commonly characterized by intricate backgrounds and an imbalanced distribution of disease categories, resulting in suboptimal recognition outcomes when attempting to identify apple leaf diseases. In this regard, we propose… read more here.
Keywords: multi scale; dual attention; feature extraction; apple leaf ... See more keywords
Apple Leaf Disease Identification in Complex Background Based on BAM-Net
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DOI: 10.3390/agronomy13051240
Abstract: 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… read more here.
Keywords: disease; bam net; apple; apple leaf ... See more keywords
Apple-Net: A Model Based on Improved YOLOv5 to Detect the Apple Leaf Diseases
Sign Up to like & getrecommendations! Published in 2022 at "Plants"
DOI: 10.3390/plants12010169
Abstract: Effective identification of apple leaf diseases can reduce pesticide spraying and improve apple fruit yield, which is significant to agriculture. However, the existing apple leaf disease detection models lack consideration of disease diversity and accuracy,… read more here.
Keywords: apple net; apple; apple leaf; leaf diseases ... See more keywords