Construction and verification of machine vision algorithm model based on apple leaf disease images
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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IntroductionThe identification of apple leaf diseases is crucial for apple production.MethodsTo assist farmers in promptly recognizing leaf diseases in apple trees, we propose a novel attention mechanism. Building upon this mechanism and MobileNet v3, we
Hebin Cheng, Heming Li
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Diagnosis and Mobile Application of Apple Leaf Disease Degree Based on a Small-Sample Dataset
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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MGA-YOLO: A lightweight one-stage network for apple leaf disease detection
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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Sequence diversity and potential recombination events in the coat protein gene of Apple stem pitting virus. [PDF]
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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Selection and orchard testing of antagonists suppressing conidia production of the apple scab pathogen Venturia inaequalis [PDF]
Apple scab caused by Venturia inaequalis is a major disease in apple production. Epidemics in spring are initiated by ascospores produced on overwintering leaves whereas epidemics during summer are driven by conidia produced on apple leaves by biotrophic
Molhoek, W.M.L. +3 more
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Evolutionary Feature Optimization for Plant Leaf Disease Detection by Deep Neural Networks
Apple leaf disease is the foremost factor that restricts apple yield and quality. Usually, much time is taken for disease detection with the existing diagnostic techniques; therefore, farmers frequently miss the best time for preventing and treating ...
Jalal Sadoon Hameed Albayati +1 more
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Agriculture is one of the prime sources of economic growth in Russia; the global apple production in 2019 was 87 million tons. Apple leaf diseases are the main reason for annual decreases in apple production, which creates huge economic losses. Automated
Antor Mahamudul Hashan +2 more
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Apricot breeding for multiple resistance to Plum pox virus and Apple chlorotic leaf spot virus
Spain is one of the most important producers of fresh apricots (Prunus armeniaca L.). Traditional production was based on several local cultivars with good quality and well adapted to the industry.
Rubio, Manuel +2 more
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Genetic basis for resistance against fruit tree canker in apple [PDF]
Neonectria ditissima (formerly Neonectria galligena, anamorph Cylindrocarpon heteronema) is the causal agent of fruit tree canker which is regarded as a serious economic problem in horticulture.
Ghasemkhani, Marjan
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