Remote sensing offers a noninvasive approach to diagnose and manage plant-parasitic nematodes (PPNs) in agriculture, addressing the significant economic losses they cause, estimated at $80–157 billion annually. PPNs, such as root-knot (Meloidogyne spp.) and cyst nematodes (Heterodera and Globodera spp.), are challenging to detect due to their microscopic size and often nonspecific symptoms like stunted growth or chlorosis. Traditional methods rely on labor-intensive soil sampling and microscopic analysis, but remote sensing provides a scalable, efficient alternative by detecting plant stress and nematode infestations through spectral reflectance and imaging technologies.