insect classification Latest Research Papers

PEST INSECT CLASSIFICATION USING EFFICIENTNET AND POWER MEAN SVM

10.15625/vap.2021.0050 ◽

2021 ◽

Author(s):

Doan Thanh Nghi

Keyword(s):

Power Mean ◽

Pest Insect ◽

Insect Classification

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Real-Time Soybean Crop Insect Classification Using Customized Deep Learning Models

Data Management, Analytics and Innovation - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-981-16-2934-1_9 ◽

2021 ◽

pp. 143-156

Author(s):

Vivek Tiwari ◽

Himanshu Patel ◽

Ritvik Muttreja ◽

Mayank Goyal ◽

Muneendra Ojha ◽

...

Keyword(s):

Deep Learning ◽

Real Time ◽

Learning Models ◽

Soybean Crop ◽

Insect Classification

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Deep CNN-Based Mango Insect Classification

Algorithms for Intelligent Systems - Computer Vision and Machine Learning in Agriculture ◽

10.1007/978-981-33-6424-0_5 ◽

2021 ◽

pp. 67-85

Author(s):

Muntaka Rahat ◽

Mehedi Hasan ◽

Md. Mahmodul Hasan ◽

Md. Tarequl Islam ◽

Md. Syfur Rahman ◽

...

Keyword(s):

Deep Cnn ◽

Insect Classification

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Insect classification and detection in field crops using modern machine learning techniques

Information Processing in Agriculture ◽

10.1016/j.inpa.2020.09.006 ◽

2020 ◽

Author(s):

Thenmozhi Kasinathan ◽

Dakshayani Singaraju ◽

Srinivasulu Reddy Uyyala

Keyword(s):

Machine Learning ◽

Machine Learning Techniques ◽

Field Crops ◽

Learning Techniques ◽

Insect Classification ◽

Modern Machine

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Rice Insect Classification and Quantification (RICQ) Using Portable Neural Network Model with EFPV-Image Processing Algorithm

Journal of Advanced Research in Dynamical and Control Systems ◽

10.5373/jardcs/v11sp11/20193124 ◽

2019 ◽

Vol 11 (11-SPECIAL ISSUE) ◽

pp. 979-985

Author(s):

Allan C. Taracatac ◽

Ricardo Q. Camungao

Keyword(s):

Neural Network ◽

Image Processing ◽

Network Model ◽

Neural Network Model ◽

Processing Algorithm ◽

Image Processing Algorithm ◽

Insect Classification

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Insect Classification Using Squeeze-and-Excitation and Attention Modules - a Benchmark Study

2019 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2019.8803746 ◽

2019 ◽

Author(s):

Yoon Jin Park ◽

Gervase Tuxworth ◽

Jun Zhou

Keyword(s):

Benchmark Study ◽

Insect Classification

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CDNN Model for Insect Classification Based on Deep Neural Network Approach

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Context-Aware Systems and Applications, and Nature of Computation and Communication ◽

10.1007/978-3-030-34365-1_10 ◽

2019 ◽

pp. 127-142

Author(s):

Hiep Xuan Huynh ◽

Duy Bao Lam ◽

Tu Van Ho ◽

Diem Thi Le ◽

Ly Minh Le

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Network Approach ◽

Neural Network Approach ◽

Insect Classification

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Development of Application for Forest Insect Classification using CNN

2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) ◽

10.1109/icarcv.2018.8581103 ◽

2018 ◽

Cited By ~ 4

Author(s):

Suchang Lim ◽

Seunghyun Kim ◽

Sungwook Park ◽

Doyeon Kim

Keyword(s):

Forest Insect ◽

Insect Classification

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Turning wingbeat sounds into spectrum images for acoustic insect classification

Electronics Letters ◽

10.1049/el.2017.3334 ◽

2017 ◽

Vol 53 (25) ◽

pp. 1674-1676 ◽

Cited By ~ 5

Author(s):

Chongsheng Zhang ◽

Pengyou Wang ◽

Hui Guo ◽

Gaojuan Fan ◽

Ke Chen ◽

...

Keyword(s):

Insect Classification

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Performance effect analysis for insect classification using convolutional neural network

2017 7th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) ◽

10.1109/iccsce.2017.8284406 ◽

2017 ◽

Cited By ~ 5

Author(s):

Suchang Lim ◽

Seunghyun Kim ◽

Doyeon Kim

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Effect Analysis ◽

Performance Effect ◽

Insect Classification

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insect classification
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

PEST INSECT CLASSIFICATION USING EFFICIENTNET AND POWER MEAN SVM

Real-Time Soybean Crop Insect Classification Using Customized Deep Learning Models

Deep CNN-Based Mango Insect Classification

Insect classification and detection in field crops using modern machine learning techniques

Rice Insect Classification and Quantification (RICQ) Using Portable Neural Network Model with EFPV-Image Processing Algorithm

Insect Classification Using Squeeze-and-Excitation and Attention Modules - a Benchmark Study

CDNN Model for Insect Classification Based on Deep Neural Network Approach

Development of Application for Forest Insect Classification using CNN

Turning wingbeat sounds into spectrum images for acoustic insect classification

Performance effect analysis for insect classification using convolutional neural network

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insect classificationRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

PEST INSECT CLASSIFICATION USING EFFICIENTNET AND POWER MEAN SVM

Real-Time Soybean Crop Insect Classification Using Customized Deep Learning Models

Deep CNN-Based Mango Insect Classification

Insect classification and detection in field crops using modern machine learning techniques

Rice Insect Classification and Quantification (RICQ) Using Portable Neural Network Model with EFPV-Image Processing Algorithm

Insect Classification Using Squeeze-and-Excitation and Attention Modules - a Benchmark Study

CDNN Model for Insect Classification Based on Deep Neural Network Approach

Development of Application for Forest Insect Classification using CNN

Turning wingbeat sounds into spectrum images for acoustic insect classification

Performance effect analysis for insect classification using convolutional neural network

insect classification
Recently Published Documents