Muhammad Kashif

Enhancing agricultural image analysis through deep learning-based crop classification under field variability with biotic-stress cues

Feeding a rapidly growing global population demands reliable and scalable solutions for crop monitoring under diverse field conditions. Recent advances in deep learning have shown strong potential for agricultural image analysis; however, many existing studies on crop identification still struggle in deployment-like im...