Works about PLANT diseases
Results: 5000
Decoding Rhizoctonia spp. in-depth genomic analysis, pathogenic mechanisms, and host interactions.
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- Phytopathology Research, 2025, v. 7, n. 1, p. 1, doi. 10.1186/s42483-024-00297-y
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Migration of wheat stripe rust from the primary oversummering region to neighboring regions in China.
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- Communications Biology, 2025, v. 8, n. 1, p. 1, doi. 10.1038/s42003-025-07789-3
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The role of Exo70s in plant defense against pathogens and insect pests and their application for crop breeding.
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- Molecular Breeding, 2025, v. 45, n. 2, p. 1, doi. 10.1007/s11032-025-01539-3
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Rudbeckia rallies from disease hit.
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- Plant Review, 2025, v. 7, n. 1, p. 12
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- Article
Cholinesterase Inhibitors from Plants and Their Potential in Alzheimer's Treatment: Systematic Review.
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- Brain Sciences (2076-3425), 2025, v. 15, n. 2, p. 215, doi. 10.3390/brainsci15020215
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Sesame Plant Disease Classification Using Deep Convolution Neural Networks.
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- Applied Sciences (2076-3417), 2025, v. 15, n. 4, p. 2124, doi. 10.3390/app15042124
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Electrical Signal Characterization of Aloe vera Var. Chinensis Using Non-Parametric and Parametric Signal Analysis.
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- Applied Sciences (2076-3417), 2025, v. 15, n. 4, p. 1708, doi. 10.3390/app15041708
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YOLOCSP-PEST for Crops Pest Localization and Classification.
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- Computers, Materials & Continua, 2025, v. 82, n. 2, p. 2373, doi. 10.32604/cmc.2025.060745
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Plant Disease Detection Algorithm Based on Efficient Swin Transformer.
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- Computers, Materials & Continua, 2025, v. 82, n. 2, p. 3045, doi. 10.32604/cmc.2024.058640
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CropsDisNet: An AI-Based Platform for Disease Detection and Advancing On-Farm Privacy Solutions.
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- Data (2306-5729), 2025, v. 10, n. 2, p. 25, doi. 10.3390/data10020025
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- Article
CONVOLUTIONAL NEURAL NETWORK-BASED APPROACH FOR CLASSIFYING FUSARIUM WILT DISEASE IN CHICKPEAS USING IMAGE ANALYSIS.
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- JAPS: Journal of Animal & Plant Sciences, 2025, v. 35, n. 1, p. 285
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- Article
Molecular and Biological Characterization of an Isolate of Fusarium graminearum dsRNA mycovirus 4 (FgV4) from a New Host Fusarium pseudograminearum.
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- Microorganisms, 2025, v. 13, n. 2, p. 418, doi. 10.3390/microorganisms13020418
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Agronomic Efficiency of Compost Extracts and Nitrogen-Fixing Bacteria in Soybean Crops.
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- Microorganisms, 2025, v. 13, n. 2, p. 341, doi. 10.3390/microorganisms13020341
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Identification, Genome Characterization, and Growth Optimization of Paenibacillus peoriae MHJL1 for Biocontrol and Growth Promotion of Cotton Seedlings.
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- Microorganisms, 2025, v. 13, n. 2, p. 261, doi. 10.3390/microorganisms13020261
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Characterization of Olive-Resistant Genes Against Spilocaea oleagina, the Causal Agent of Scab.
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- Agronomy, 2025, v. 15, n. 2, p. 452, doi. 10.3390/agronomy15020452
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Screening of Sugarcane Genotypes for Smut (Sporisorium scitamineum) Resistance Under Greenhouse Conditions.
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- Agronomy, 2025, v. 15, n. 2, p. 448, doi. 10.3390/agronomy15020448
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Epidemiology of Xylella fastidiosa in Ibiza and Formentera: A Comprehensive Study of Insect Vectors and Transmission Dynamics.
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- Agronomy, 2025, v. 15, n. 2, p. 329, doi. 10.3390/agronomy15020329
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Scalable Prediction of Northern Corn Leaf Blight and Gray Leaf Spot Diseases to Predict Fungicide Spray Timing in Corn.
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- Agronomy, 2025, v. 15, n. 2, p. 328, doi. 10.3390/agronomy15020328
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A Method for the Rapid Identification of Rice Seed Blast Using Deep Learning and Hyperspectral Imagery.
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- Agronomy, 2025, v. 15, n. 2, p. 290, doi. 10.3390/agronomy15020290
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- Article
Alginate oligosaccharides trigger multiple defense responses in tobacco and induce resistance to Phytophthora infestans.
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- Frontiers in Plant Science, 2025, p. 1, doi. 10.3389/fpls.2025.1506873
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Induction of systemic defense responses in tomato against Clavibacter michiganensis by application of aerated compost tea.
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- European Journal of Plant Pathology, 2025, v. 171, n. 3, p. 477, doi. 10.1007/s10658-024-02964-4
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- Article
Identification of Mycoviruses in Cytospora chrysosperma : Potential Biocontrol Agents for Walnut Canker.
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- Viruses (1999-4915), 2025, v. 17, n. 2, p. 180, doi. 10.3390/v17020180
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REGENERATION OF BURN INJURY UNDER THE INFLUENCE OF OINTMENTS FROM THE EXTRACTS OF MULBERRY LEAVES AND SILVER BERRY SEEDS.
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- Electronic Journal of Natural Sciences, 2013, v. 21, n. 2, p. 34
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- Article
Ovipositional Deterrent in the Sweet Pepper, Capsicum annuum, at the Mature Stage against Liriomyza trifolii (Burgess).
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- Bioscience, Biotechnology & Biochemistry, 2005, v. 69, n. 10, p. 1831, doi. 10.1271/bbb.69.1831
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The typification of Murraya, M. exotica, and M. paniculata (Rutaceae): its significance for the world citrus industry.
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- Taxon, 2016, v. 65, n. 2, p. 366, doi. 10.12705/652.15
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(2415) Proposal to conserve the name Cercospora (Ascomycota: Mycosphaerellaceae) with a conserved type.
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- Taxon, 2016, v. 65, n. 1, p. 185, doi. 10.12705/651.18
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Crop protection and disease detection using artificial intelligence and computer vision: a comprehensive review.
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- Multimedia Tools & Applications, 2025, v. 84, n. 7, p. 3723, doi. 10.1007/s11042-024-19205-9
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Accurate crop disease identification and classification in smart agriculture using a three-tier model and optimized fully conventional network.
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- Multimedia Tools & Applications, 2025, v. 84, n. 5, p. 2539, doi. 10.1007/s11042-024-20137-7
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Plant disease detection using a depth-wise separable-based adaptive deep neural network.
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- Multimedia Tools & Applications, 2025, v. 84, n. 2, p. 887, doi. 10.1007/s11042-024-19047-5
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Crop disease detection via ensembled-deep-learning paradigm and ABC Coyote pack optimization algorithm (ABC-CPOA).
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- Multimedia Tools & Applications, 2025, v. 84, n. 1, p. 37, doi. 10.1007/s11042-024-19329-y
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Improving plant disease classification using realistic data augmentation.
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- Multimedia Tools & Applications, 2024, v. 83, n. 36, p. 86141, doi. 10.1007/s11042-024-20329-1
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Efficient protection of golden nutri cereal implementing enhanced disease identification injecting hybrid split-attention mechanism through Novel SANDNES Mechanism.
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- Multimedia Tools & Applications, 2024, v. 83, n. 36, p. 85499, doi. 10.1007/s11042-024-19858-6
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Design an optimization based ensemble machine learning framework for detecting rice leaf diseases.
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- Multimedia Tools & Applications, 2024, v. 83, n. 36, p. 84401, doi. 10.1007/s11042-024-19134-7
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Tomato plant leaf diseases detection and classification using an advanced self-developed CNN model.
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- Multimedia Tools & Applications, 2024, v. 83, n. 36, p. 83837, doi. 10.1007/s11042-024-18978-3
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Progressive loss-aware fine-tuning stepwise learning with GAN augmentation for rice plant disease detection.
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- Multimedia Tools & Applications, 2024, v. 83, n. 37, p. 84565, doi. 10.1007/s11042-024-19255-z
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MobileNetV2-Incep-M: a hybrid lightweight model for the classification of rice plant diseases.
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- Multimedia Tools & Applications, 2024, v. 83, n. 33, p. 79117, doi. 10.1007/s11042-024-18723-w
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RETRACTED ARTICLE: Feature selection with Optimized XGBoost model-based paddy plant leaf disease classification.
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- 2024
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- Correction Notice
A pest detection system for leaves through radial bi-symmetric divergence RCNN based segmentation approach.
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- Multimedia Tools & Applications, 2024, v. 83, n. 33, p. 78715, doi. 10.1007/s11042-024-18208-w
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An improved federated deep learning for plant leaf disease detection.
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- Multimedia Tools & Applications, 2024, v. 83, n. 35, p. 83471, doi. 10.1007/s11042-024-18867-9
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Plant disease identification using a novel time-effective CNN architecture.
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- Multimedia Tools & Applications, 2024, v. 83, n. 35, p. 82199, doi. 10.1007/s11042-024-18822-8
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Evaluating the effect of super-resolution for automatic plant disease detection: application to potato late blight detection.
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- Multimedia Tools & Applications, 2024, v. 83, n. 32, p. 78469, doi. 10.1007/s11042-024-18574-5
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Retraction Note: CottonLeafNet: cotton plant leaf disease detection using deep neural networks.
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- 2024
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- Correction Notice
A novel hybrid segmentation technique for identification of wheat rust diseases.
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- Multimedia Tools & Applications, 2024, v. 83, n. 29, p. 72221, doi. 10.1007/s11042-024-18463-x
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Statistical analysis and comparison of deep convolutional neural network models for the identification and classification of maize leaf diseases.
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- Multimedia Tools & Applications, 2024, v. 83, n. 28, p. 71189, doi. 10.1007/s11042-024-18481-9
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Detection of plant leaf diseases using deep convolutional neural network models.
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- Multimedia Tools & Applications, 2024, v. 83, n. 24, p. 64533, doi. 10.1007/s11042-023-18099-3
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Diagnosis of fungi affected apple crop disease using improved ResNeXt deep learning model.
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- Multimedia Tools & Applications, 2024, v. 83, n. 24, p. 64879, doi. 10.1007/s11042-023-18094-8
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Agry: a comprehensive framework for plant diseases classification via pretrained EfficientNet and convolutional neural networks for precision agriculture.
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- Multimedia Tools & Applications, 2024, v. 83, n. 24, p. 64813, doi. 10.1007/s11042-023-17952-9
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The improved YOLOv8 algorithm based on EMSPConv and SPE-head modules.
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- Multimedia Tools & Applications, 2024, v. 83, n. 21, p. 61007, doi. 10.1007/s11042-023-17957-4
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IoT enabled plant leaf disease segmentation and multi-classification using mayfly bald eagle optimization-enabled machine learning.
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- Multimedia Tools & Applications, 2024, v. 83, n. 21, p. 59747, doi. 10.1007/s11042-023-17680-0
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Optimized transfer learning approach for leaf disease classification in smart agriculture.
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- Multimedia Tools & Applications, 2024, v. 83, n. 20, p. 58103, doi. 10.1007/s11042-023-17860-y
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