In modern agriculture, accurately estimating crop yields is crucial for optimizing field management systems, improving supply chain logistics, and ensuring food security. Remote sensing technologies have emerged as powerful tools for monitoring crop health and predicting yields. Data fusion, which integrates information from multiple remote sensing sources, enhances the accuracy and reliability of crop-specific yield estimation. This article explores the techniques and benefits of remote sensing data fusion in agriculture, emphasizing its impact on field management system and overall agricultural productivity.
Remote Sensing Data Fusion for Enhanced Crop-Specific Yield Estimation