Knowledge Transfer via Convolution Neural Networks for Multi-Resolution Lawn Weed Classification-Reference-Cited by-同舟云学术

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Knowledge Transfer via Convolution Neural Networks for Multi-Resolution Lawn Weed Classification

Published:2019-09 Issue: Volume: Page:
ISSN:
Container-title:2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
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Author:

Farooq Adnan,Jia Xiuping,Hu Jiankun,Zhou Jun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8915930/8920817/08920832.pdf?arnumber=8920832

Cited by 6 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. Optimization enabled Deep Quantum Neural Network for weed classification and density estimation;Expert Systems with Applications;2024-06

2. Applications of deep learning in precision weed management: A review;Computers and Electronics in Agriculture;2023-03

3. Compact high-speed snapshot multispectral imagers in the VIS/NIR (460 to 960 nm) and SWIR range (1.1 to 1.65 nm) and its potential in a diverse range of applications;Hyperspectral Imaging and Applications II;2023-01-12

4. The Comparison of Deep Learning Model Efficiency for Classification of Oral White Lesions;2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC);2022-07-05

5. Sago Palm Detection and its Maturity Identification Based on Improved Convolution Neural Network;Pertanika Journal of Science and Technology;2022-03-14

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