Abstract: Applications like disaster management, urban planning, and environmental monitoring rely on satellite image categorization. This project develops a machine learning pipeline using ...

Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.

Abstract: Remote sensing and satellite imaging technologies have developed rapidly so that the end-user can easily obtain large amounts of high spatial resolution images for land classification ...