Decomposition and Temporal Analysis of NDVI in an Agricultural Plot to Determine the Health and Variability of Maize Crops in Guasave, Sinaloa

The technological advancement in agriculture has significantly transformed traditional farming
practices, enhancing crop management and decision-making. A key development in this field is remote
sensing, particularly the Normalized Difference Vegetation Index, which provides valuable information
about vegetation health and density. This research focused on Guasave, Sinaloa, a critical agricultural
region in Mexico, to analyze the NDVI time series and uncover trends and patterns over five years. The
analysis revealed NDVI variations indicating issues ranging from nutrient deficiencies to pest attacks.
Moreover, with the influence of climate change on weather patterns, NDVI has proven essential for
agricultural adaptation in the region. This tool has established itself as fundamental for sustainable
agriculture, allowing farmers to adapt to changing challenges and make informed decisions. The research
underscores the importance of NDVI and remote sensing in modernizing agriculture and effectively
managing agricultural resources.