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A low shot learning method for tea leaf’s disease identification

Computers and electronics in agriculture, 2019-08, Vol.163, p.104852, Article 104852

2019

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Detection and identification of tea leaf diseases based on AX-RetinaNet

Scientific reports, 2022-02, Vol.12 (1), p.2183-2183, Article 2183

2022

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Identification of tea leaf diseases by using an improved deep convolutional neural network

Sustainable computing informatics and systems, 2019-12, Vol.24, p.100353, Article 100353

2019

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Using a multi-convolutional neural network to automatically identify small-sample tea leaf diseases

Sustainable computing informatics and systems, 2022-09, Vol.35, p.100696, Article 100696

2022

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Estimation of tea leaf blight severity in natural scene images

Precision agriculture, 2021-08, Vol.22 (4), p.1239-1262

2021

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Detection of Abnormal Vibration Dampers on Transmission Lines in UAV Remote Sensing Images with PMA-YOLO

Remote sensing (Basel, Switzerland), 2021-10, Vol.13 (20), p.4134

2021

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Surface defect identification method for hot-rolled steel plates based on random data balancing and lightweight convolutional neural network

Signal, image and video processing, 2024, Vol.18 (8-9), p.5775-5786

2024

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Method for wheat ear counting based on frequency domain decomposition of MSVF-ISCT

Information processing in agriculture, 2023-06, Vol.10 (2), p.240-255

2023

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Assessment of Intelligent Unmanned Maintenance Construction for Asphalt Pavement Based on Fuzzy Comprehensive Evaluation and Analytical Hierarchy Process

Buildings (Basel), 2024-04, Vol.14 (4), p.1112

2024

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Lightweight convolutional neural network model for field wheat ear disease identification

Computers and electronics in agriculture, 2021-10, Vol.189, p.106367, Article 106367

2021

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Lightweight dense-scale network (LDSNet) for corn leaf disease identification

Computers and electronics in agriculture, 2022-06, Vol.197, p.106943, Article 106943

2022

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Recognition of Group Activities Using Complex Wavelet Domain Based Cayley-Klein Metric Learning

北京理工大学学报（英文版）, 2018-12, Vol.27 (4), p.592-603

2018

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Recognition of diseased Pinus trees in UAV images using deep learning and AdaBoost classifier

Biosystems engineering, 2020-06, Vol.194, p.138-151

2020

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Cloud removal of remote sensing image based on multi-output support vector regression

Journal of systems engineering and electronics, 2014-12, Vol.25 (6), p.1082-1088

2014

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UAV remote sensing monitoring of pine forest diseases based on improved Mask R-CNN

International journal of remote sensing, 2022-02, Vol.43 (4), p.1274-1305

2022

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Detection and severity analysis of tea leaf blight based on deep learning

Computers & electrical engineering, 2021-03, Vol.90, p.107023, Article 107023

2021

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Computer vision based method for severity estimation of tea leaf blight in natural scene images

European journal of agronomy, 2023-03, Vol.144, p.126756, Article 126756

2023

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Detection of Fusarium head blight in wheat using UAV remote sensing based on parallel channel space attention

Computers and electronics in agriculture, 2024-02, Vol.217, p.108630, Article 108630

2024

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Semantic segmentation of tea geometrid in natural scene images using discriminative pyramid network

Applied soft computing, 2021-12, Vol.113, p.107984, Article 107984

2021

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A quantum-based building block for designing a nanoscale full adder circuit with power analysis

Integration (Amsterdam), 2023-09, Vol.92, p.77-82

2023

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UAV remote sensing detection of tea leaf blight based on DDMA-YOLO

Computers and electronics in agriculture, 2023-02, Vol.205, p.107637, Article 107637

2023

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Detection and classification of diseased pine trees with different levels of severity from UAV remote sensing images

Ecological informatics, 2022-12, Vol.72, p.101844, Article 101844

2022

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Detection of Tea Leaf Blight in Low-Resolution UAV Remote Sensing Images

IEEE transactions on geoscience and remote sensing, 2024, Vol.62, p.1-18

2024

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Analysis on Simplified Method of IoT-based HHL Algorithm Corresponding Quantum Circuit for Quantum Computer Application

Mobile information systems, 2023, Vol.2023, p.1-10

2023

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Enhancing model performance in detecting lodging areas in wheat fields using UAV RGB Imagery: Considering spatial and temporal variations

Computers and electronics in agriculture, 2023-11, Vol.214, p.108297, Article 108297

2023

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A low shot learning method for tea leaf’s disease identification

Detection and identification of tea leaf diseases based on AX-RetinaNet

Identification of tea leaf diseases by using an improved deep convolutional neural network

Using a multi-convolutional neural network to automatically identify small-sample tea leaf diseases

Estimation of tea leaf blight severity in natural scene images

Detection of Abnormal Vibration Dampers on Transmission Lines in UAV Remote Sensing Images with PMA-YOLO

Surface defect identification method for hot-rolled steel plates based on random data balancing and lightweight convolutional neural network

Method for wheat ear counting based on frequency domain decomposition of MSVF-ISCT

Assessment of Intelligent Unmanned Maintenance Construction for Asphalt Pavement Based on Fuzzy Comprehensive Evaluation and Analytical Hierarchy Process

Lightweight convolutional neural network model for field wheat ear disease identification

Lightweight dense-scale network (LDSNet) for corn leaf disease identification

Recognition of Group Activities Using Complex Wavelet Domain Based Cayley-Klein Metric Learning

Recognition of diseased Pinus trees in UAV images using deep learning and AdaBoost classifier

Cloud removal of remote sensing image based on multi-output support vector regression

UAV remote sensing monitoring of pine forest diseases based on improved Mask R-CNN

Detection and severity analysis of tea leaf blight based on deep learning

Computer vision based method for severity estimation of tea leaf blight in natural scene images

Detection of Fusarium head blight in wheat using UAV remote sensing based on parallel channel space attention

Semantic segmentation of tea geometrid in natural scene images using discriminative pyramid network

A quantum-based building block for designing a nanoscale full adder circuit with power analysis

UAV remote sensing detection of tea leaf blight based on DDMA-YOLO

Detection and classification of diseased pine trees with different levels of severity from UAV remote sensing images

Detection of Tea Leaf Blight in Low-Resolution UAV Remote Sensing Images

Analysis on Simplified Method of IoT-based HHL Algorithm Corresponding Quantum Circuit for Quantum Computer Application

Enhancing model performance in detecting lodging areas in wheat fields using UAV RGB Imagery: Considering spatial and temporal variations

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