A Comparative Study of Seg-Net and U-Net Algorithms for UAV Multispectral Imaging of Plants
Author:
Affiliation:
1. Kongu Engineering College,Department of Electronics and Communication Engineering,Perundurai,India
2. Universiti Tun Hussein Onn Malaysia,Department of Electrical and Electronic Engineering,Johor,Malaysia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10306338/10306339/10306492.pdf?arnumber=10306492
Reference20 articles.
1. Recent advances in image processing techniques for automated leaf pest and disease recognition;lawrence;Information Processing in Agriculture,2021
2. Improving weeds identification with a repository of agricultural pre-trained deep neural networks
3. Real-time weed-crop classification and localisation technique for robotic weed control in lettuce
4. UAV’s Agricultural Image Segmentation Predicated by Clifford Geometric Algebra
5. Use of Unmanned Aerial Vehicle Imagery and Deep Learning UNet to Extract Rice Lodging
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