Exploring the semi-supervised learning for weed detection in wheat-Reference-Cited by-同舟云学术

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Exploring the semi-supervised learning for weed detection in wheat

Published:2024-10 Issue: Volume:184 Page:106823
ISSN:0261-2194
Container-title:Crop Protection
language:en
Short-container-title:Crop Protection

Author:

Kong Xiaotong,Liu Teng^ORCID,Chen Xin,Lian Peng,Zhai Danlan,Li Aimin,Yu Jialin

Publisher

Elsevier BV

Reference57 articles.

1. Integrated analysis of machine learning and deep learning in chili pest and disease identification;Ahmad Loti;J. Sci. Food Agr.,2021

2. Precise weed and maize classification through convolutional neuronal networks;Andrea,2017

3. Evaluation of support vector machine and artificial neural networks in weed detection using shape features;Bakhshipour;Comput. Electron. Agr.,2018

4. Deep learning with unsupervised data labeling for weed detection in line crops in UAV images;Bah;Remote Sens.,2018

5. Weed segmentation using texture features extracted from wavelet sub-images;Bakhshipour;Biosyst. Eng.,2017

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