Kushal KC

Kushal KC works in environmental science with a focus on applying remote sensing and artificial intelligence tools to agriculture, such as using satellite or drone imagery combined with deep learning to detect crop diseases and pests. Recent work includes comparing advanced image-recognition models (Vision Transformers and Convolutional Neural Networks) for identifying soybean cyst nematode damage using multispectral imaging. The available publication record is limited, so the overall scope of this research program is not fully clear from public data.

Publication output has been low and irregular over the past decade, with several years showing no recorded output and an average of about one publication per year over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026