Image Classification of Paddy Field Insect Pests Using Gradient-Based Features

Author:

Venugoban Kanesh,Ramanan Amirthalingam

Publisher

EJournal Publishing

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications

Cited by 40 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. AM-MSFF: A Pest Recognition Network Based on Attention Mechanism and Multi-Scale Feature Fusion;Entropy;2024-05-20

2. Benchmarking of computer vision methods for energy-efficient high-accuracy olive fly detection on edge devices;Multimedia Tools and Applications;2024-03-07

3. Comparing Six Computer Vision Techniques for Rice Pest Recognition in the Field;2023 7th IEEE Congress on Information Science and Technology (CiSt);2023-12-16

4. Precision Agriculture: ML and DL-Based Detection and Classification of Agricultural Pests;2023 2nd International Conference on Ambient Intelligence in Health Care (ICAIHC);2023-11-17

5. Integrated Deep Learning Framework for Insect Detection and Classification in Video Streams;2023 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC);2023-09-27

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