This review examines how hyperspectral imaging technology can be used to detect plant diseases before visible symptoms appear. This technology works by capturing detailed light reflection data from plants that can reveal early signs of disease stress. The research has important implications for agriculture and food security. Key impacts on everyday life: – Earlier detection of crop diseases could reduce pesticide use and improve food safety – More efficient crop monitoring could lead to lower food production costs – Better disease management could help prevent crop losses and improve food security – Environmental benefits from more targeted and reduced pesticide applications – Potential for automated disease detection systems in both commercial farming and home gardening