Revolutionizing farming: The role of remote sensing-based vegetation indices in smart and precision agriculture

This article explores the transformative impact of remote sensing-based vegetation indices (VIs) in precision agriculture. By using advanced geospatial technologies, VIs such as NDVI, EVI, GCI, SAVI, and NDWI enable us to monitor crop health, assess water stress, estimate yields, and determine optimal harvest times with unprecedented accuracy. These indices, derived from optical remote sensing and SAR data, provide critical insights for optimizing resource use, enhancing crop productivity, and reducing environmental impact. As precision agriculture evolves, embracing these technologies will be crucial for sustainable farming practices and meeting global food demands efficiently.