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https://github.com/cepdnaclk/e16-4yp-identification-of-weeds-in-broadcasted-paddy-fields-using-multispectral-uav-images
Develop a model to Identify paddy crops and weeds by images taken from UAV (unmanned aerial vehicle) and develop a desktop application as user interface
https://github.com/cepdnaclk/e16-4yp-identification-of-weeds-in-broadcasted-paddy-fields-using-multispectral-uav-images
agriculture machine-learning
Last synced: 2 days ago
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Develop a model to Identify paddy crops and weeds by images taken from UAV (unmanned aerial vehicle) and develop a desktop application as user interface
- Host: GitHub
- URL: https://github.com/cepdnaclk/e16-4yp-identification-of-weeds-in-broadcasted-paddy-fields-using-multispectral-uav-images
- Owner: cepdnaclk
- Created: 2022-07-24T18:51:00.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-02-22T06:44:46.000Z (over 1 year ago)
- Last Synced: 2023-03-11T03:07:48.279Z (over 1 year ago)
- Topics: agriculture, machine-learning
- Language: Python
- Homepage: https://cepdnaclk.github.io/e16-4yp-Identification-of-Weeds-in-broadcasted-Paddy-fields-using-multispectral-UAV-images/
- Size: 71.3 KB
- Stars: 2
- Watchers: 3
- Forks: 1
- Open Issues: 0