Crop Yield Prediction using Remote Sensing: A Review

Crop yield prediction is a crucial need in agriculture, offering valuable insights for the farmers, agriculturists, and policy makers. The statistical models utilized for this purpose were time-consuming, difficult, and challenging. However, the emergence of machine learning and deep learning models has revolutionized this field. The integration of remote sensing data in crop yield prediction provides essential information for large-scale crop modeling. This review article delves into the advancement of crop models, remote sensing techniques and data assimilation methods that monitor crop growth and enhance crop yield prediction.