A novel hybrid feature method for weeds identification in the agriculture sector-Reference-Cited by-同舟云学术

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A novel hybrid feature method for weeds identification in the agriculture sector

Published:2023-09-03 Issue:3 Volume:69 Page:132-142
ISSN:1212-9151
Container-title:Research in Agricultural Engineering
language:
Short-container-title:Res. Agric. Eng.

Author:

Arif Sheeraz Arif,Hussain Rashid,Ansari Nadia Mustaqim,Rauf Waseem

Publisher

Czech Academy of Agricultural Sciences

Subject

Agronomy and Crop Science,Animal Science and Zoology

Link

http://rae.agriculturejournals.cz/doi/10.17221/77/2022-RAE.pdf

Reference36 articles.

1. Trajectory-based 3D convolutional descriptors for human action recognition;Arif;Journal of Information Science and Engineering,2019

2. Tomato diseases Classification Based on VGG and Transfer Learning

3. Evaluation of support vector machine and artificial neural networks in weed detection using shape features

4. XGBoost

5. Weed and Corn Seedling Detection in Field Based on Multi Feature Fusion and Support Vector Machine

Cited by 1 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. Application of Convolutional Neural Networks in Weed Detection and Identification: A Systematic Review;Agriculture;2024-04-02

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