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DeepBiteNet: A Lightweight Ensemble Framework for Multiclass Bug Bite Classification Using Image-Based Deep Learning
Published 2025-07-01“…<b>Methods</b>: For this work, we introduce DeepBiteNet, a new ensemble-based deep learning model designed to perform robust multiclass classification of insect bites from RGB images. Our model aggregates three semantically diverse convolutional neural networks—DenseNet121, EfficientNet-B0, and MobileNetV3-Small—using a stacked meta-classifier designed to aggregate their predicted outcomes into an integrated, discriminatively strong output. …”
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Assessing Gonipterus defoliation levels using multispectral unmanned aerial vehicle (UAV) data in Eucalyptus plantations
Published 2025-12-01“…Invasive insect pest Gonipterus sp. n. 2 (Coleoptera: Curculionidae) threatens Eucalyptus species, causing defoliation and yield loss through adult and larval feeding. …”
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83
Innovative Application of Medicinal Insects: Employing UHPLC-MS, Bioinformatics, In Silico Studies and <i>In Vitro</i> Experiments to Elucidate the Multi-Target Hemostatic Mechanis...
Published 2025-03-01“…<b>Background:</b> Longhorn beetles, a widely recognized group of Chinese traditional medicinal insects, are characterized by their notable hemostatic properties. …”
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84
Algorithms for Effector Prediction in Plant Pathogens and Pests: Achievements and Current Challenges
Published 2024-10-01Get full text
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85
Honey Bees Can Use Sequence Learning to Predict Rewards from a Prior Unrewarded Visual Stimulus
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Environmental and Human Health Benefits of Bionematicidal Volatiles in Comparison to Commercial Synthetic Nematicides
Published 2024-04-01“…Plant parasitic nematodes are some of the most damaging pathogens to food crops, impacting crop yield twice as much as phytophagous insects. To combat these pests, large amounts of pesticides are added to agricultural soils and eventually leach out to adjacent environments, accumulate in food and feed, and become very toxic. …”
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Disentangling the effects of geographical location and local climate on masting in Fagus crenata using a comprehensive population model
Published 2025-09-01“…We found good agreement between observed and predicted numbers of flowers and seeds at the test site. …”
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Measuring and modeling waterlogging tolerance to predict the future for threatened lowland ash forests
Published 2025-06-01Get full text
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92
A Kind of Forest Disease and Pest Infection Model with Time Delay
Published 2024-06-01“… Controlling forest diseases and insect pests is beneficial to increase forest carbon sink. …”
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93
Evaluating LiDAR‐Derived Structural Metrics for Predicting Bee Assemblages in Managed Forests
Published 2025-04-01“…ABSTRACT Globally, many insects depend on forest habitat for critical nesting and floral resources. …”
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Applying nutritional ecology to optimize diets of crickets raised for food and feed
Published 2024-12-01“…Increasing yield is a primary goal of mass insect rearing for food and feed, and diet impacts insect life-history traits that affect yield, such as survival, development time and body size. …”
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The Worker Flow at the Hive Entrance Predicts When Nest Cleaning is Intensified in Stingless Bees
Published 2024-01-01“…Waste produced by living organisms is commonly disposed of as a prophylactic measure to avoid the spread of diseases and parasite infestation. For social insects, a proportion of workers is allocated to dispose the waste material outside the colony’s nest. …”
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Substrate Specificity of ABCB Transporters Predicted by Docking Simulations Can Be Confirmed by Experimental Tests
Published 2024-11-01“…Despite their toxicity, several herbivorous insects such as the large milkweed bug (<i>Oncopeltus fasciatus</i>) have evolved adaptations to tolerate cardenolides and sequester them for their own defense. …”
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Effect of controlling white-backed planthopper on the occurrence of southern rice black-streaked dwarf disease
Published 2015-11-01“…The relationship between density of insect vectors and occurrence degree of SRBSDD was examined, and the effectiveness of disease management with controlling WBPH was measured, to build a predictive model for the occurrence of disease and damage degree of SRBSDD.In this study, we investigated the population dynamics of WBPH on 17 rice varieties in Hangzhou, China and created a predictive model for SRBSDD. …”
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