Impact of remote sensing data fusion on agriculture applications: A review

Remote sensing data fusion has emerged as a pivotal tool in agricultural monitoring and management. This review delves into the profound impact of remote sensing data fusion techniques on agricultural practices. Through a comprehensive examination of existing literature, the review elucidates the diverse fusion methodologies employed and their implications for agricultural applications. Various fusion techniques are explored in terms of their efficacy in enhancing agricultural monitoring capabilities. The review assesses the advantages and limitations of different fusion approaches and highlights their role in improving crop monitoring, pest and disease identification, weed detection, crop classification, and yield estimation. Furthermore, the review addresses the challenges, limitations and future prospects associated with remote sensing data fusion in agriculture mapping and monitoring. By synthesizing existing knowledge and insights, this review provides valuable guidance for researchers and practitioners seeking to leverage remote sensing data fusion for agricultural sustainability and productivity.