Detection of weeds in vegetables using image classification neural networks and image processing
Weed management presents a major challenge to vegetable growth. Accurate identification of weeds is essential for automated weeding. However, the wide variety of weed types and their complex distribution creates difficulties in rapid and accurate weed detection. In this study, instead of directly ap...
Saved in:
Main Authors: | Huiping Jin, Kang Han, Hongting Xia, Bo Xu, Xiaojun Jin |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Physics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2025.1496778/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A customized convolutional neural network-based approach for weeds identification in cotton crops
by: Hafiz Muhammad Faisal, et al.
Published: (2025-01-01) -
Drone imagery dataset for early-season weed classification in maize and tomato cropsDIGITAL.CSIC
by: Gustavo A. Mesías-Ruiz, et al.
Published: (2025-02-01) -
Effect of Depth Band Replacement on Red, Green and Blue Image for Deep Learning Weed Detection
by: Jan Vandrol, et al.
Published: (2024-12-01) -
Classification of Invoice Images By Using Convolutional Neural Networks
by: Sait Ali Uymaz, et al.
Published: (2022-03-01) -
Weed Management Guide for Florida Lawns
by: J. Bryan Unruh, et al.
Published: (2020-09-01)