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Automatic Localization and Count of Agricultural Crop Pests Based on an Improved Deep Learning Pipeline

Scientific reports, 2019-05, Vol.9 (1), p.7024-7024, Article 7024

2019

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Insect Detection and Classification Based on an Improved Convolutional Neural Network

Sensors (Basel, Switzerland), 2018-11, Vol.18 (12), p.4169

2018

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A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network

Sensors (Basel, Switzerland), 2020-01, Vol.20 (3), p.578

2020

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A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data

Sensors (Basel, Switzerland), 2019-03, Vol.19 (6), p.1356

2019

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PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification

IEEE access, 2019, Vol.7, p.45301-45312

2019

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Algorithm for wireless sensor networks in ginseng field in precision agriculture

PloS one, 2022-02, Vol.17 (2), p.e0263401-e0263401

2022

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AgriPest: A Large-Scale Domain-Specific Benchmark Dataset for Practical Agricultural Pest Detection in the Wild

Sensors (Basel, Switzerland), 2021-02, Vol.21 (5), p.1601

2021

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Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning

Computers and electronics in agriculture, 2015-11, Vol.119, p.123-132

2015

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ARFNet: adaptive receptive field network for detecting insulator self-explosion defects

Signal, image and video processing, 2022-11, Vol.16 (8), p.2211-2219

2022

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An effective pest detection method with automatic data augmentation strategy in the agricultural field

Signal, image and video processing, 2023-03, Vol.17 (2), p.563-571

2023

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AE-FPN: adaptive enhance feature learning for detecting wire defects

Signal, image and video processing, 2023-07, Vol.17 (5), p.2145-2155

2023

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WSRD-Net: A Convolutional Neural Network-Based Arbitrary-Oriented Wheat Stripe Rust Detection Method

Frontiers in plant science, 2022-05, Vol.13, p.876069-876069

2022

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Learning region-guided scale-aware feature selection for object detection

Neural computing & applications, 2021-06, Vol.33 (11), p.6389-6403

2021

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Spatial Inhomogeneity of Atmospheric CO2 Concentration and Its Uncertainty in CMIP6 Earth System Models

Advances in atmospheric sciences, 2023-11, Vol.40 (11), p.2108-2126

2023

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Research on Lossless Compression Coding Algorithm of N-Band Parametric Spectral Integer Reversible Transformation Combined With the Lifting Scheme for Hyperspectral Images

IEEE access, 2022, Vol.10, p.88632-88643

2022

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Prior knowledge auxiliary for few-shot pest detection in the wild

Frontiers in plant science, 2023-01, Vol.13, p.1033544-1033544

2023

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Visual Feature Learning on Video Object and Human Action Detection: A Systematic Review

Micromachines (Basel), 2021-12, Vol.13 (1), p.72

2021

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An Effective Data Augmentation Strategy for CNN-Based Pest Localization and Recognition in the Field

IEEE access, 2019, Vol.7, p.160274-160283

2019

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Constraint on regional land surface air temperature projections in CMIP6 multi-model ensemble

NPJ climate and atmospheric science, 2023-07, Vol.6 (1), p.85-9, Article 85

2023

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Robust object tracking via multi-scale patch based sparse coding histogram

Multimedia tools and applications, 2017-05, Vol.76 (10), p.12181-12203

2017

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Collaborative object tracking model with local sparse representation

Journal of visual communication and image representation, 2014-02, Vol.25 (2), p.423-434

2014

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AF-RCNN: An anchor-free convolutional neural network for multi-categories agricultural pest detection

Computers and electronics in agriculture, 2020-07, Vol.174, p.105522, Article 105522

2020

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Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition

Computers and electronics in agriculture, 2020-02, Vol.169, p.105222, Article 105222

2020

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When Pansharpening Meets Graph Convolution Network and Knowledge Distillation

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-15

2022

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Occurrence prediction of cotton pests and diseases by bidirectional long short-term memory networks with climate and atmosphere circulation

Computers and electronics in agriculture, 2020-09, Vol.176, p.105612, Article 105612

2020

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Automatic Localization and Count of Agricultural Crop Pests Based on an Improved Deep Learning Pipeline

Insect Detection and Classification Based on an Improved Convolutional Neural Network

A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network

A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data

PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification

Algorithm for wireless sensor networks in ginseng field in precision agriculture

AgriPest: A Large-Scale Domain-Specific Benchmark Dataset for Practical Agricultural Pest Detection in the Wild

Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning

ARFNet: adaptive receptive field network for detecting insulator self-explosion defects

An effective pest detection method with automatic data augmentation strategy in the agricultural field

AE-FPN: adaptive enhance feature learning for detecting wire defects

WSRD-Net: A Convolutional Neural Network-Based Arbitrary-Oriented Wheat Stripe Rust Detection Method

Learning region-guided scale-aware feature selection for object detection

Spatial Inhomogeneity of Atmospheric CO2 Concentration and Its Uncertainty in CMIP6 Earth System Models

Research on Lossless Compression Coding Algorithm of N-Band Parametric Spectral Integer Reversible Transformation Combined With the Lifting Scheme for Hyperspectral Images

Prior knowledge auxiliary for few-shot pest detection in the wild

Visual Feature Learning on Video Object and Human Action Detection: A Systematic Review

An Effective Data Augmentation Strategy for CNN-Based Pest Localization and Recognition in the Field

Constraint on regional land surface air temperature projections in CMIP6 multi-model ensemble

Robust object tracking via multi-scale patch based sparse coding histogram

Collaborative object tracking model with local sparse representation

AF-RCNN: An anchor-free convolutional neural network for multi-categories agricultural pest detection

Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition

When Pansharpening Meets Graph Convolution Network and Knowledge Distillation

Occurrence prediction of cotton pests and diseases by bidirectional long short-term memory networks with climate and atmosphere circulation

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