Shriram Kris Vasudevan

Comparing classical and quantum machine learning approaches for crop and weed detection

Crop and weed detection is an essential task in precision agriculture which is typically approached through classical machine learning, and more recently, through quantum machine learning (QML). This research compares classical and quantum approaches for crop-weed distinctions in aerial field photography. A convolution...