1
$\begingroup$

I am an agronomy graduate student looking to classify crops from weeds using convolutional neural networks (CNNs).

The basic idea that I am wanting to get into involves separating crops from weeds from aerial imagery (either captured by drones or piloted aircraft). The idea of the project that I am proposing involves spending some time driving around to different fields and capturing many images of both crops and weeds. These images will then be used to train a CNN that will classify aerial imagery on the location of crops and weeds. After classifying the imagery, a herbicide application map will be generated for site-specific weed control. This involves the integration of CNN classification and GIS technology.

My question is this: If you have an orthomosaic image generated from a drone, will images captured from a digital camera on the ground be effective for training a CNN that will classify high-resolution aerial imagery?

Being new to CNNs, I just didn't know if I had to use aerial imagery to train a CNN to classify aerial imagery, or if a digital camera will work just fine.

New contributor
ihb is a new contributor to this site. Take care in asking for clarification, commenting, and answering. Check out our Code of Conduct.
$\endgroup$

Your Answer

ihb is a new contributor. Be nice, and check out our Code of Conduct.

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.