Cargando…

A survey of few-shot learning in smart agriculture: developments, applications, and challenges

With the rise of artificial intelligence, deep learning is gradually applied to the field of agriculture and plant science. However, the excellent performance of deep learning needs to be established on massive numbers of samples. In the field of plant science and biology, it is not easy to obtain a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yang, Jiachen, Guo, Xiaolan, Li, Yang, Marinello, Francesco, Ercisli, Sezai, Zhang, Zhuo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8897954/ https://www.ncbi.nlm.nih.gov/pubmed/35248105 http://dx.doi.org/10.1186/s13007-022-00866-2

Ejemplares similares

FewJoint: few-shot learning for joint dialogue understanding
por: Hou, Yutai, et al.
Publicado: (2022)

Learning few-shot imitation as cultural transmission
por: Bhoopchand, Avishkar, et al.
Publicado: (2023)

Automatic pavement texture recognition using lightweight few-shot learning
por: Pan, Shuo, et al.
Publicado: (2023)

Few-shot learning: temporal scaling in behavioral and dopaminergic learning
por: Burke, Dennis A, et al.
Publicado: (2023)

High-Dimensional Separability for One- and Few-Shot Learning
por: Gorban, Alexander N., et al.
Publicado: (2021)

Meta-Learning for Few-Shot Plant Disease Detection
por: Chen, Liangzhe, et al.
Publicado: (2021)

Optimizing Few-Shot Learning Based on Variational Autoencoders
por: Wei, Ruoqi, et al.
Publicado: (2021)

Epilepsy seizure prediction with few-shot learning method
por: Nazari, Jamal, et al.
Publicado: (2022)

Few-shot contrastive learning for image classification and its application to insulator identification
por: Li, Liang, et al.
Publicado: (2021)

Semi-supervised few-shot learning approach for plant diseases recognition
por: Li, Yang, et al.
Publicado: (2021)

Heterogeneous Ensemble-Based Spike-Driven Few-Shot Online Learning
por: Yang, Shuangming, et al.
Publicado: (2022)

Few-shot short utterance speaker verification using meta-learning
por: Wang, Weijie, et al.
Publicado: (2023)

Application of New Sensor Technology and Few-Shot Learning in Education Based on IoT Era
por: Feng, Jianwen
Publicado: (2022)

Efficient few-shot machine learning for classification of EBSD patterns
por: Kaufmann, Kevin, et al.
Publicado: (2021)

Insights into few shot learning approaches for image scene classification
por: Soudy, Mohamed, et al.
Publicado: (2021)

Multiobject Tracking of Wildlife in Videos Using Few-Shot Learning
por: Feng, Jiangfan, et al.
Publicado: (2022)

Neural representational geometry underlies few-shot concept learning
por: Sorscher, Ben, et al.
Publicado: (2022)

Few-Shot Learning for Plant-Disease Recognition in the Frequency Domain
por: Lin, Hong, et al.
Publicado: (2022)

Few-Shot Learning for WiFi Fingerprinting Indoor Positioning
por: Ma, Zhenjie, et al.
Publicado: (2023)

COVID-19 Multi-Targeted Drug Repurposing Using Few-Shot Learning
por: Liu, Yang, et al.
Publicado: (2021)

FS-RSDD: Few-Shot Rail Surface Defect Detection with Prototype Learning
por: Min, Yongzhi, et al.
Publicado: (2023)

Few-Shot Object Detection: Application to Medieval Musicological Studies
por: Ibrahim, Bekkouch Imad Eddine, et al.
Publicado: (2022)

Few-Shot Emergency Siren Detection
por: Cantarini, Michela, et al.
Publicado: (2022)

Few-shot learning for classification of novel macromolecular structures in cryo-electron tomograms
por: Li, Ran, et al.
Publicado: (2020)

Automated classification of polyps using deep learning architectures and few-shot learning
por: Krenzer, Adrian, et al.
Publicado: (2023)

Application Optimization of University Aesthetic Education Resources Based on Few-Shot Learning from the Perspective of Ecological Aesthetic Education
por: Liu, Yang
Publicado: (2022)

Unsupervised Few-Shot Feature Learning via Self-Supervised Training
por: Ji, Zilong, et al.
Publicado: (2020)

Interactive Echocardiography Translation Using Few-Shot GAN Transfer Learning
por: Teng, Long, et al.
Publicado: (2020)

Word Embedding Distribution Propagation Graph Network for Few-Shot Learning
por: Zhu, Chaoran, et al.
Publicado: (2022)

Few-Shot Learning for Image-Based Nonintrusive Appliance Signal Recognition
por: Matindife, L., et al.
Publicado: (2022)

Aesthetic Characteristics of Dance Based on Few-Shot Learning and Neural Networks
por: Qu, Dixin
Publicado: (2022)

Few-shot learning for joint model in underwater acoustic target recognition
por: Tian, Shengzhao, et al.
Publicado: (2023)

MCW: A Generalizable Deepfake Detection Method for Few-Shot Learning
por: Guan, Lei, et al.
Publicado: (2023)

Easy—Ensemble Augmented-Shot-Y-Shaped Learning: State-of-the-Art Few-Shot Classification with Simple Components
por: Bendou, Yassir, et al.
Publicado: (2022)

Deblurring Ghost Imaging Reconstruction Based on Underwater Dataset Generated by Few-Shot Learning
por: Yang, Xu, et al.
Publicado: (2022)

Visual Object Tracking Algorithm Based on Biological Visual Information Features and Few-Shot Learning
por: Zhang, Dawei, et al.
Publicado: (2022)

English Research Learning and Functional Research Based on Constructivism Theory and Few-Shot Learning
por: Li, Chengyun
Publicado: (2022)

Weakly Correlated Knowledge Integration for Few-shot Image Classification
por: Yang, Chun, et al.
Publicado: (2022)

Few-shot segmentation with duplex network and attention augmented module
por: Zeng, Sifu, et al.
Publicado: (2023)

A Few-Shot Learning-Based EEG and Stage Transition Sequence Generator for Improving Sleep Staging Performance
por: You, Yuyang, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_01pnusftpoqu1kese0ilmne6ai