Cargando…

Lightweight Fruit-Detection Algorithm for Edge Computing Applications

In recent years, deep-learning-based fruit-detection technology has exhibited excellent performance in modern horticulture research. However, deploying deep learning algorithms in real-time field applications is still challenging, owing to the relatively low image processing capability of edge devic...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Wenli, Liu, Yuxin, Chen, Kaizhen, Li, Huibin, Duan, Yulin, Wu, Wenbin, Shi, Yun, Guo, Wei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Plant Science
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8548576/ https://www.ncbi.nlm.nih.gov/pubmed/34721466 http://dx.doi.org/10.3389/fpls.2021.740936

Ejemplares similares

Deep-learning-based in-field citrus fruit detection and tracking
por: Zhang, Wenli, et al.
Publicado: (2022)

Rapid detection of Yunnan Xiaomila based on lightweight YOLOv7 algorithm
por: Wang, Fenghua, et al.
Publicado: (2023)

Dragon fruit detection in natural orchard environment by integrating lightweight network and attention mechanism
por: Zhang, Bin, et al.
Publicado: (2022)

Leaf and Stem-Based Dew Detection Algorithm via Multi-Convolutional Edge Detection Networks
por: Lv, Meibo, et al.
Publicado: (2022)

Tea Chrysanthemum Detection by Leveraging Generative Adversarial Networks and Edge Computing
por: Qi, Chao, et al.
Publicado: (2022)

EasyDAM_V2: Efficient Data Labeling Method for Multishape, Cross-Species Fruit Detection
por: Zhang, Wenli, et al.
Publicado: (2022)

On Application of Lightweight Models for Rice Variety Classification and Their Potential in Edge Computing
por: Iqbal, Muhammad Javed, et al.
Publicado: (2023)

EBE-YOLOv4: A lightweight detecting model for pine cones in forest
por: Zhang, Zebing, et al.
Publicado: (2022)

Easy domain adaptation method for filling the species gap in deep learning-based fruit detection
por: Zhang, Wenli, et al.
Publicado: (2021)

Association Analysis in Rice: From Application to Utilization
por: Zhang, Peng, et al.
Publicado: (2016)

MixSeg: a lightweight and accurate mix structure network for semantic segmentation of apple leaf disease in complex environments
por: Lu, Bibo, et al.
Publicado: (2023)

ASFL-YOLOX: an adaptive spatial feature fusion and lightweight detection method for insect pests of the Papilionidae family
por: Xu, Lijia, et al.
Publicado: (2023)

MGA-YOLO: A lightweight one-stage network for apple leaf disease detection
por: Wang, Yiwen, et al.
Publicado: (2022)

LightMixer: A novel lightweight convolutional neural network for tomato disease detection
por: Zhong, Yi, et al.
Publicado: (2023)

Unstructured road extraction and roadside fruit recognition in grape orchards based on a synchronous detection algorithm
por: Zhou, Xinzhao, et al.
Publicado: (2023)

YOLO-SCL: a lightweight detection model for citrus psyllid based on spatial channel interaction
por: Lyu, Shilei, et al.
Publicado: (2023)

Lightweight SM-YOLOv5 Tomato Fruit Detection Algorithm for Plant Factory
por: Wang, Xinfa, et al.
Publicado: (2023)

Remote fruit fly detection using computer vision and machine learning-based electronic trap
por: Molina-Rotger, Miguel, et al.
Publicado: (2023)

ShinyFruit: interactive fruit phenotyping software and its application in blackberry
por: Chizk, T. Mason, et al.
Publicado: (2023)

Lightweight similarity checking for English literatures in mobile edge computing
por: Liu, Xiaomei, et al.
Publicado: (2023)

Metabolism of Flavonoids in Novel Banana Germplasm during Fruit Development
por: Dong, Chen, et al.
Publicado: (2016)

Lightweight-Convolutional Neural Network for Apple Leaf Disease Identification
por: Fu, Lili, et al.
Publicado: (2022)

ALAD-YOLO:an lightweight and accurate detector for apple leaf diseases
por: Xu, Weishi, et al.
Publicado: (2023)

Rapid and accurate detection of multi-target walnut appearance quality based on the lightweight improved YOLOv5s_AMM model
por: Zhan, Zicheng, et al.
Publicado: (2023)

Convolutional neural network in rice disease recognition: accuracy, speed and lightweight
por: Ning, Hongwei, et al.
Publicado: (2023)

Application of Convolutional Neural Network-Based Detection Methods in Fresh Fruit Production: A Comprehensive Review
por: Wang, Chenglin, et al.
Publicado: (2022)

YOLOv8-Peas: a lightweight drought tolerance method for peas based on seed germination vigor
por: Jiang, Haoyu, et al.
Publicado: (2023)

PMVT: a lightweight vision transformer for plant disease identification on mobile devices
por: Li, Guoqiang, et al.
Publicado: (2023)

Pepper leaf disease recognition based on enhanced lightweight convolutional neural networks
por: Dai, Min, et al.
Publicado: (2023)

MS-Net: a novel lightweight and precise model for plant disease identification
por: Quan, Siyu, et al.
Publicado: (2023)

PbGA20ox2 Regulates Fruit Set and Induces Parthenocarpy by Enhancing GA(4) Content
por: Wang, Huibin, et al.
Publicado: (2020)

A Lightweight convolutional neural network for nicotine prediction in tobacco by near-infrared spectroscopy
por: Wang, Di, et al.
Publicado: (2023)

TrIncNet: a lightweight vision transformer network for identification of plant diseases
por: Gole, Pushkar, et al.
Publicado: (2023)

A lightweight model for efficient identification of plant diseases and pests based on deep learning
por: Guan, Hongliang, et al.
Publicado: (2023)

TasselLFANet: a novel lightweight multi-branch feature aggregation neural network for high-throughput image-based maize tassels detection and counting
por: Yu, Zhenghong, et al.
Publicado: (2023)

Fruit and Leaf Sensing for Continuous Detection of Nectarine Water Status
por: Scalisi, Alessio, et al.
Publicado: (2019)

Tomato Fruit Detection and Counting in Greenhouses Using Deep Learning
por: Afonso, Manya, et al.
Publicado: (2020)

Editorial: Recent Advances of Near Infrared Applications in Fruits and Byproducts
por: Hernández-Hierro, José Miguel, et al.
Publicado: (2022)

Salicylic acid delays pear fruit senescence by playing an antagonistic role toward ethylene, auxin, and glucose in regulating the expression of PpEIN3a
por: Xu, Yue, et al.
Publicado: (2023)

Lightweight Gramian Angular Field classification for edge internet of energy applications
por: Alsalemi, Abdullah, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_49svr393ga6la42686v3tbids4