Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer – a case study of small farmlands in the South of China

Timely and accurate crop monitoring and yield forecasting before harvesting are valuable for precision management, policy and decision making, and marketing. The aim of this study is to explore the potential of fusing spectral and structural information extracted from the unmanned aerial vehicle (UAV)-based images in the whole growth period of rice to improve the grain yield prediction. A UAV platform carrying RGB and multispectral cameras was...