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
This project helps rice farmers identify and map weed locations in their fields using images captured by drones equipped with multispectral sensors. It takes these drone images as input and produces a detailed map highlighting where weeds are present. This tool is designed for precision agriculture specialists, farm managers, or agricultural researchers seeking to optimize weed control and reduce herbicide use.
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Use this if you need to accurately identify and map weed patches in broadcasted paddy fields to enable targeted herbicide application.
Not ideal if you are looking for a solution that uses standard RGB drone images or if your crops are not paddy rice.
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Language
Python
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Last pushed
Feb 22, 2023
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