Works matching Plant classification
Results: 5000
Plant-CNN-ViT: Plant Classification with Ensemble of Convolutional Neural Networks and Vision Transformer.
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- Plants (2223-7747), 2023, v. 12, n. 14, p. 2642, doi. 10.3390/plants12142642
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Plant Image Classification with Nonlinear Motion Deblurring Based on Deep Learning.
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- Mathematics (2227-7390), 2023, v. 11, n. 18, p. 4011, doi. 10.3390/math11184011
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Deep Learning-Based Plant-Image Classification Using a Small Training Dataset.
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- Mathematics (2227-7390), 2022, v. 10, n. 17, p. 3091, doi. 10.3390/math10173091
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Evaluation of Different Few-Shot Learning Methods in the Plant Disease Classification Domain.
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- Biology (2079-7737), 2025, v. 14, n. 1, p. 99, doi. 10.3390/biology14010099
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Utilizing Deep Convolutional Neural Networks for Multi-Classification of Plant Diseases from Image Data.
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- Traitement du Signal, 2023, v. 40, n. 4, p. 1479, doi. 10.18280/ts.400416
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Plant Leaf Classification and Comparative Analysis of Combined Feature Set Using Machine Learning Techniques.
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- Traitement du Signal, 2021, v. 38, n. 6, p. 1587, doi. 10.18280/ts.380603
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Impact of modified Harris hawks optimization on hybrid deep learning for untrained plant leaf classification.
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- Journal of Field Robotics, 2024, v. 41, n. 4, p. 1006, doi. 10.1002/rob.22306
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An effective approach for plant leaf diseases classification based on a novel DeepPlantNet deep learning model.
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- Frontiers in Plant Science, 2023, p. 1, doi. 10.3389/fpls.2023.1212747
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Plant Species Classification Based on Hyperspectral Imaging via a Lightweight Convolutional Neural Network Model.
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- Frontiers in Plant Science, 2022, v. 13, p. 1, doi. 10.3389/fpls.2022.855660
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Deep HybridNet with hybrid optimization for enhanced medicinal plant identification and classification.
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- International Journal of Electrical & Computer Engineering (2088-8708), 2024, v. 14, n. 5, p. 5626, doi. 10.11591/ijece.v14i5.pp5626-5640
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Artificial Intelligence-Based Segmentation and Classification of Plant Images with Missing Parts and Fractal Dimension Estimation.
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- Fractal & Fractional, 2024, v. 8, n. 11, p. 633, doi. 10.3390/fractalfract8110633
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Dual-Stream Architecture Enhanced by Soft-Attention Mechanism for Plant Species Classification.
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- Plants (2223-7747), 2024, v. 13, n. 18, p. 2655, doi. 10.3390/plants13182655
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Plant Disease Classification: A Comparative Evaluation of Convolutional Neural Networks and Deep Learning Optimizers.
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- Plants (2223-7747), 2020, v. 9, n. 10, p. 1319, doi. 10.3390/plants9101319
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Attention-Based Recurrent Neural Network for Plant Disease Classification.
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- Frontiers in Plant Science, 2020, v. 11, p. N.PAG, doi. 10.3389/fpls.2020.601250
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CLASSIFICATION OF PLANT LEAVES AND FLOWERS USING IMAGE PROCESSING AND DEEP NEURAL NETWORKS.
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- International Journal of Advanced Research in Computer Science, 2024, v. 15, n. 5, p. 34, doi. 10.26483/ijarcs.v15i5.7137
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Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification.
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- Agriculture; Basel, 2021, v. 11, n. 8, p. 707, doi. 10.3390/agriculture11080707
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SVM and KNN Based CNN Architectures for Plant Classification.
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- Computers, Materials & Continua, 2022, v. 71, n. 3, p. 4257, doi. 10.32604/cmc.2022.023414
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An enhanced deep learning model for high-speed classification of plant diseases with bioinspired algorithm.
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- Journal of Supercomputing, 2024, v. 80, n. 3, p. 3713, doi. 10.1007/s11227-023-05622-4
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Research on the quantification and automatic classification method of Chinese cabbage plant type based on point cloud data and PointNet++.
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- Frontiers in Plant Science, 2025, p. 1, doi. 10.3389/fpls.2024.1458962
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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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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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A plant disease classification using one-shot learning technique with field images.
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- Multimedia Tools & Applications, 2024, v. 83, n. 20, p. 58935, doi. 10.1007/s11042-023-17830-4
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Plant Disease Classification Using Deep Bilinear CNN.
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- Intelligent Automation & Soft Computing, 2022, v. 31, n. 1, p. 161, doi. 10.32604/iasc.2022.017706
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Enhanced Plant Leaf Classification over a Large Number of Classes Using Machine Learning.
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- Applied Sciences (2076-3417), 2024, v. 14, n. 22, p. 10507, doi. 10.3390/app142210507
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An approach based on performer-attention-guided few-shot learning model for plant disease classification.
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- Earth Science Informatics, 2024, v. 17, n. 4, p. 3797, doi. 10.1007/s12145-024-01339-x
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Taylor-student psychology based optimization integrated deep learning in IoT application for plant disease classification.
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- Wireless Networks (10220038), 2023, v. 29, n. 2, p. 919, doi. 10.1007/s11276-022-03150-2
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Distribution Fitting 12. Sampling Distribution of Compounds Abundance from Plant Species Measured by Instrumentation. Application to Plants Metabolism Classification.
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- Bulletin of the University of Agricultural Sciences & Veterinary Medicine Cluj-Napoca. Horticulture, 2011, v. 68, n. 1, p. 54
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SEViT: a large-scale and fine-grained plant disease classification model based on transformer and attention convolution.
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- Multimedia Systems, 2023, v. 29, n. 3, p. 1001, doi. 10.1007/s00530-022-01034-1
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- Article
Impacts of Background Removal on Convolutional Neural Networks for Plant Disease Classification In-Situ.
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- Agriculture; Basel, 2021, v. 11, n. 9, p. 827, doi. 10.3390/agriculture11090827
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Deep Convolutional Neural Network Architecture for Plant Seedling Classification.
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- Engineering, Technology & Applied Science Research, 2022, v. 12, n. 6, p. 9464, doi. 10.48084/etasr.5282
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Parallelization of Concise Convolutional Neural Networks for Plant Classification.
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- Journal of Ecological Engineering, 2023, v. 24, n. 2, p. 61, doi. 10.12911/22998993/156754
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Plant Species Classification and Biodiversity Estimation from UAV Images with Deep Learning.
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- Remote Sensing, 2024, v. 16, n. 19, p. 3654, doi. 10.3390/rs16193654
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A CNN-based android application for plant leaf classification at remote locations.
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- Neural Computing & Applications, 2023, v. 35, n. 3, p. 2601, doi. 10.1007/s00521-022-07740-1
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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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ResNext50 based convolution neural network-long short term memory model for plant disease classification.
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- Multimedia Tools & Applications, 2023, v. 82, n. 19, p. 29527, doi. 10.1007/s11042-023-14851-x
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Classification of Diseased Cotton Leaves and Plants Using Improved Deep Convolutional Neural Network.
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- Multimedia Tools & Applications, 2023, v. 82, n. 16, p. 25307, doi. 10.1007/s11042-023-14933-w
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An aggregated loss function based lightweight few shot model for plant leaf disease classification.
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- Multimedia Tools & Applications, 2023, v. 82, n. 15, p. 23797, doi. 10.1007/s11042-023-14372-7
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Fuzzy Discretization on the Multinomial Naïve Bayes Method for Modeling Multiclass Classification of Corn Plant Diseases and Pests.
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- Mathematics (2227-7390), 2023, v. 11, n. 8, p. 1761, doi. 10.3390/math11081761
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An Effective Image Classification Method for Plant Diseases with Improved Channel Attention Mechanism aECAnet Based on Deep Learning.
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- Symmetry (20738994), 2024, v. 16, n. 4, p. 451, doi. 10.3390/sym16040451
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Automated Chinese medicinal plants classification based on machine learning using leaf morpho-colorimetry, fractal dimension and visible/near infrared spectroscopy.
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- International Journal of Agricultural & Biological Engineering, 2019, v. 12, n. 2, p. 123, doi. 10.25165/j.ijabe.20191202.4637
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Image Information Contribution Evaluation for Plant Diseases Classification via Inter-Class Similarity.
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- Sustainability (2071-1050), 2022, v. 14, n. 17, p. 10938, doi. 10.3390/su141710938
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Rice plant disease classification using color features: a machine learning paradigm.
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- Journal of Plant Pathology, 2021, v. 103, n. 1, p. 17, doi. 10.1007/s42161-020-00683-3
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Students' understanding of plant classification using the PLANTA-FUN card game media.
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- Jurnal Bioedukatika, 2021, v. 9, n. 3, p. 133, doi. 10.26555/bioedukatika.v9i3.20535
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التصنيف البيئي للنباتات الطبيعية شرق محافظة واسط.
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- Al-Adab / Al-ādāb, 2023, p. 285, doi. 10.31973/aj.v2i145.4221
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基于对比学习的多肉植物分类识别方法研究.
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- Journal of Henan Agricultural Sciences, 2023, v. 52, n. 7, p. 154, doi. 10.15933/j.cnki.1004-3268.2023.07.016
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A Capsule Attention Network for Plant Disease Classification.
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- Traitement du Signal, 2023, v. 40, n. 5, p. 2051, doi. 10.18280/ts.400523
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Pyramided and optimized blurred shape model for plant leaf classification.
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- IET Image Processing (Wiley-Blackwell), 2023, v. 17, n. 10, p. 2838, doi. 10.1049/ipr2.12830
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Classification of plant communities along postfire succession in Pinus brutia (Turkish red pine) stands in Antalya (Turkey).
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- Turkish Journal of Botany, 2017, v. 41, n. 3, p. 299, doi. 10.3906/bot-1609-34
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Plant Classification Knowledge and Misconceptions among University Students in Morocco.
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- Education Sciences, 2019, v. 9, n. 1, p. 48, doi. 10.3390/educsci9010048
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IOT ENABLED SMART AGRICULTURE SYSTEM FOR DETECTION AND CLASSIFICATION OF TOMATO AND BRINJAL PLANT LEAVES DISEASE.
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- Scalable Computing: Practice & Experience, 2025, v. 26, n. 1, p. 96, doi. 10.12694/scpe.v26i1.3826
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