부산대학교 도서관

This project investigates the ways in which big data, machine learning, and hyperspectral information might be used in order to enhance agricultural operations. Because hyperspectral photography offers precise spectral information for each pixel, it is now feasible to detect and evaluate a broad variety of plant conditions. This is particularly useful in light of the explosion of data related to agriculture. A new paradigm in farm management is generated when the massive storage and processing powers of big data technologies are combined with the predictive capabilities of machine learning algorithms. This research analyzes how the convergence of these technologies might revolutionize yield prediction, disease diagnosis, and crop monitoring, therefore paving the way for more intelligent and data-driven decisions to be made in the agricultural sector.