 Remote sensing has become a powerful tool for monitoring spatial and temporal changes in crops. Multispectral imaging is a popular method, but it can only provide limited information about the spectral response of target features. Hyperspectral imaging is a more advanced technique that provides greater detail, but it has not yet been widely adopted by the agricultural industry due to its cost and complexity. Recently, however, miniature and low-cost hyperspectral sensors have been developed as well as advanced spaceporn hyperspectral sensors. These technologies are becoming increasingly accessible to agricultural applications. Additionally, the acquisition, processing, and analysis of hyperspectral imagery remains a challenge, requiring further research into these areas. This article was authored by Bing Liu, Fuang Di Dao, Zhen Gui Liu, and others.